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Analysis on the Mutation and Time-Varying Characteristics of Coal Price System Evolution from the Perspective of Finance J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Jian Chai, Junchan Lei, Huiting Shi, Xuejun Zhang, Meiling Lang
Coal is essential to ensure China’s energy security. The sudden or gradual change of coal price reflects the degree of disequilibrium or expected disequilibrium of coal supply and demand, which will not be conducive to energy security. Therefore, it is important to analyze the change points of coal price and explore the reason of the price fluctuation. This paper analyses the coal price from January
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Strong Law of Large Numbers for Weighted Sums of Random Variables and Its Applications in EV Regression Models J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Yunjie Peng, Xiaoqian Zheng, Wei Yu, Kaixin He, Xuejun Wang
This paper mainly studies the strong convergence properties for weighted sums of extended negatively dependent (END, for short) random variables. Some sufficient conditions to prove the strong law of large numbers for weighted sums of END random variables are provided. In particular, the authors obtain the weighted version of Kolmogorov type strong law of large numbers for END random variables as a
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Estimation in Partially Observed Functional Linear Quantile Regression J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Juxia Xiao, Tianfa Xie, Zhongzhan Zhang
Currently, working with partially observed functional data has attracted a greatly increasing attention, since there are many applications in which each functional curve may be observed only on a subset of a common domain, and the incompleteness makes most existing methods for functional data analysis ineffective. In this paper, motivated by the appealing characteristics of conditional quantile regression
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Computing μ -Bases of Univariate Polynomial Matrices Using Polynomial Matrix Factorization J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Bingru Huang, Falai Chen
This paper extends the notion of μ-bases to arbitrary univariate polynomial matrices and present an efficient algorithm to compute a μ-basis for a univariate polynomial matrix based on polynomial matrix factorization. Particularly, when applied to polynomial vectors, the algorithm computes a μ-basis of a rational space curve in arbitrary dimension. The authors perform theoretical complexity analysis
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Interval Type-2 Fuzzy Passive Filtering for Nonlinear Singularly Perturbed PDT-Switched Systems and Its Application J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Xinmiao Liu, Jianwei Xia, Jing Wang, Hao Shen
The problem of designing a passive filter for nonlinear switched singularly perturbed systems with parameter uncertainties is explored in this paper. Firstly, the multiple-time-scale phenomenon is settled effectively by introducing a singular perturbation parameter in the plant. Secondly, the interval type-2 fuzzy set theory is employed where parameter uncertainties are expressed in membership functions
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Interpreting the Basis Path Set in Neural Networks J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Juanping Zhu, Qi Meng, Wei Chen, Zhiming Ma
The \({\cal G}\)-SGD algorithm significantly outperforms the conventional SGD algorithm in ReLU neural networks by adopting the basis path set. However, how the inner mechanism of basis paths works remains mysterious, and the \({\cal G}\)-SGD algorithm that helps to find a basis path set is heuristic. This paper employs graph theory to investigate structure properties of basis paths in a more general
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A Quantum Computing Based Numerical Method for Solving Mixed-Integer Optimal Control Problems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Zhe Liu, Shurong Li
Mixed-integer optimal control problems (MIOCPs) usually play important roles in many real-world engineering applications. However, the MIOCP is a typical NP-hard problem with considerable computational complexity, resulting in slow convergence or premature convergence by most current heuristic optimization algorithms. Accordingly, this study proposes a new and effective hybrid algorithm based on quantum
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Distributed Nonsmooth Convex Optimization over Markovian Switching Random Networks with Two Step-Sizes J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Peng Yi, Li Li
This paper investigates the distributed convex optimization problem over a multi-agent system with Markovian switching communication networks. The objective function is the sum of each agent’s local nonsmooth objective function, which cannot be known by other agents. The communication network is assumed to switch over a set of weight-balanced directed graphs with a Markovian property. The authors propose
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Q-Learning-Based Target Selection for Bearings-Only Autonomous Navigation J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Kai Xiong, Chunling Wei
This paper presents a Q-learning-based target selection algorithm for spacecraft autonomous navigation using bearing observations of known visible targets. For the considered navigation system, the position and velocity of the spacecraft are estimated using an extended Kalman filter (EKF) with the measurements of inter-satellite line-of-sight (LOS) vectors obtained via an onboard star camera. This
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Event-Triggered L 1 -Gain Control of Nonlinear Positive Switched Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Junfeng Zhang, Laiyou Liu, Shuo Li, Xuanjin Deng
This paper is concerned with the event-triggered L1-gain control of a class of nonlinear positive switched systems. First, an event-triggering condition in the form of 1-norm is presented for the systems. By virtue of the event-triggering strategy, the original system is transformed into an interval uncertain system. An event-triggered L1-gain controller is designed by decomposing the controller gain
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A Guaranteed Cost Approach to Dynamic Output Feedback Control for Neutral-Type Markovian Jumping Stochastic Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Yanbo Li, Binghua Kao, Jing Xie, Yonggui Kao
This paper is devoted to investigating the dynamic output feedback (DOF) control problem of Markovian jump neutral-type stochastic systems with a guaranteed cost function. Both of the state and measurement equations contain time delays. Mode-dependent DOF controllers are first designed such that the closed-loop system is asymptotically stable in mean-square and an adequate performance level of this
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Sampled-Data Stabilization of a Class of Stochastic Nonlinear Markov Switching System with Indistinguishable Modes Based on the Approximate Discrete-Time Models J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Qianqian Zhang, Yu Kang, Peilong Yu, Jin Zhu, Chunhan Liu, Pengfei Li
This paper investigates the stabilization issue for a class of sampled-data nonlinear Markov switching system with indistinguishable modes. In order to handle indistinguishable modes, the authors reconstruct the original mode space by mode clustering method, forming a new merged Markov switching system. By specifying the difference between the Euler-Maruyama (EM) approximate discrete-time model of
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On the Complexity of Computing the Topology of Real Algebraic Space Curves J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Kai Jin, Jinsan Cheng
This paper presents an algorithm to compute the topology of an algebraic space curve. This is a modified version of the previous algorithm. Furthermore, the authors also analyse the bit complexity of the algorithm, which is \(\widetilde{\cal O}\left( {{N^{20}}} \right)\), where N = max{d, τ}, d and τ are the degree bound and the bit size bound of the coefficients of the defining polynomials of the
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Statistical Identification of Important Nodes in Biological Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Pei Wang
Biological systems can be modeled and described by biological networks. Biological networks are typical complex networks with widely real-world applications. Many problems arising in biological systems can be boiled down to the identification of important nodes. For example, biomedical researchers frequently need to identify important genes that potentially leaded to disease phenotypes in animal and
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Robust Regression Analysis for Clustered Interval-Censored Failure Time Data J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Lin Luo, Hui Zhao
Clustered interval-censored failure time data often occur in a wide variety of research and application fields such as cancer and AIDS studies. For such data, the failure times of interest are interval-censored and may be correlated for subjects coming from the same cluster. This paper presents a robust semiparametric transformation mixed effect models to analyze such data and use a U-statistic based
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Distributed Finite-Time Integral Sliding-Mode Control for Multi-Agent Systems with Multiple Disturbances Based on Nonlinear Disturbance Observers J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Yize Yang, Fan Liu, Hongyong Yang, Yuling Li, Yuanshan Liu
This paper proposes a finite-time consensus control algorithm based on nonlinear integral sliding-mode control for second-order multi-agent systems (MASs) with mismatched and matched disturbances. Firstly, a nonlinear finite-time disturbance observer is established to estimate the states and mismatched disturbances of the agent. Secondly, a dynamic integral sliding-mode (ISM) surface is designed by
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Robust Estimation of Semiparametric Transformation Model for Panel Count Data J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Yan Feng, Yijun Wang, Weiwei Wang, Zhuo Chen
Panel count data are frequently encountered when study subjects are under discrete observations. However, limited literature has been found on variable selection for panel count data. In this paper, without considering the model assumption of observation process, a more general semiparametric transformation model for panel count data with informative observation process is developed. A penalized estimation
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Estimating Cumulative Treatment Effect Under an Additive Hazards Model J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Xiaoliang Lü, Baoxue Zhang, Liuquan Sun
In clinical and epidemiologic studies of time to event, the treatment effect is often of direct interest, and the treatment effect is not constant over time. In this paper, the authors propose an estimator for the cumulative hazard difference under a stratified additive hazards model. The asymptotic properties of the resulting estimator are established, and the finite-sample properties are examined
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Brexit and Its Impact on the US Stock Market J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Kenan Qiao, Zhengyang Liu, Bai Huang, Yuying Sun, Shouyang Wang
This paper firstly analyzes the Brexit’s impact on the US stock market using a novel interval methodology. The interval-valued dummy variables are proposed to measure the direction and magnitudes of the changes in the inter-day trend and the intra-day volatility of S&P500 returns simultaneously. It is found that both the trend and the volatility of S&P500 returns increased before the Brexit. Besides
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Distributed Optimal Control of Nonlinear Time-Delay System Subject to Delayed Measurements and Communication Disruptions J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-12 Baili Su, Yuxing Duan
This paper is focused on a distributed optimal control design for a class of nonlinear time-delay systems with delayed measurements and communication disruptions. The innovation lies in three aspects. The distributed optimal control method which includes an optimal controller and a bounded controller is designed based on Lyapunov function. The availability of data transmitted through the communication
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Networked Learning Predictive Control of Nonlinear Cyber-Physical Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 Guo-Ping Liu
Cyber-physical systems integrate computing, network and physical environments to make the systems more efficient and cooperative, and have important and extensive application prospects, such as the Internet of things. This paper studies the control problem of nonlinear cyber-physical systems with unknown dynamics and communication delays. A networked learning predictive control scheme is proposed for
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Entrepreneurship Measurement and Comparison: Holistic Acceptability Global Entrepreneurship Index J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 Lianlian Song, Kin Keung Lai, Kwok Fai Geoffrey Tso, Jerome Yen
The Global Entrepreneurship and Development Institute annually publishes the Global Entrepreneurship Index (GEI) to show entrepreneurship of each country/area. The GEI is obtained by averaging the scores of three sub-indexes, entrepreneurial attitudes, entrepreneurial abilities and Entrepreneurial aspirations. However, this GEI construction method with equal weights for three subindexes may be controversial
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A Review on Complex System Engineering J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 Pierre Parrend, Pierre Collet
Complexity is commonly summarized as ‘the actions of the whole are more than the sum of the actions of the parts’. Understanding how the coherence emerges from these natural and artificial systems provides a radical shift in the process of thought, and brings huge promises for controlling and fostering this emergence. The authors define the term ‘Complex System Engineering’ to denote this approach
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Integer Codes Correcting Single Errors and Random Asymmetric Errors within a Byte J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 Aleksandar Radonjic, Vladimir Vujicic
In optical networks without optical amplifiers (ONWOAs) photons may fade or fail to be detected, but new photons cannot be generated. Hence, under normal conditions, only 1→0 errors can occur. However, in some situations, the photodetector may generate a false 0→1 error. This mostly occurs in cases when the dark current is higher than specified. With this in mind, in this paper, the authors present
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Global Exponential Convergence of Neutral Type Competitive Neural Networks with D Operator and Mixed Delay J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 Chaouki Aouiti, El Abed Assali, Imen Ben Gharbia
The models of competitive neural network (CNN) was in recent past proposed to describe the dynamics of cortical cognitive maps with unsupervised synaptic modifications, where there are two types of memories: Long-term memories (LTM) and short-term memories (STM), LTM presents unsupervised and slow synaptic modifications and STM characterize the fast neural activity. This paper is concerned with a class
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Necessary and Sufficient Optimality Conditions for Relaxed and Strict Control of Forward-Backward Doubly SDEs with Jumps Under Full and Partial Information J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2021-01-04 AbdulRahman Al-Hussein, Boulakhras Gherbal
This paper derives necessary and sufficient conditions of optimality in the form of a stochastic maximum principle for relaxed and strict optimal control problems with jumps. These problems are governed by multi-dimensional forward-backward doubly stochastic differential equations (FBDSDEs) with Poisson jumps and has firstly relaxed controls, which are measure-valued processes, and secondly, as an
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Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Aouiti Chaouki, Assali El Abed
This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays (mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities, some
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New Lyapunov-Krasovskii Functional for Stability Analysis of Linear Systems with Time-Varying Delay J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Huichao Lin, Hongbing Zeng, Wei Wang
This paper focuses on the problem of delay-dependent stability of linear systems with time-varying delay. A new delay-product-type augmented Lyapunov-Krasovskii functional (LKF) is constructed. Based on the LKF and by employing a generalized free-matrix-based integral inequality, less conservative delay-dependent stability criteria are obtained. Finally, two well-known numerical examples are used to
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Input-Output Production Structure and Non-Linear Production Possibility Frontier J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Weimin Jiang, Jin Fan, Kailan Tian
Input-output (Leontief) production function is widely used in economic analysis. And diminishing marginal rate of return is a very well accepted economic fact. Leontief production function normally results in a linear production possibility frontier (PPF) due to its linear feature, whereas diminishing marginal rate of return implies a non-linear PPF. In this paper, the authors aim to fix this problem
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Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Yan Liu, Mingyang Ren, Sanguo Zhang
This paper considers tests for regression coefficients in high dimensional partially linear Models. The authors first use the B-spline method to estimate the unknown smooth function so that it could be linearly expressed. Then, the authors propose an empirical likelihood method to test regression coefficients. The authors derive the asymptotic chi-squared distribution with two degrees of freedom of
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Predictive Event-Triggered Control for Disturbanced Wireless Networked Control Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Yunbo Zhao, Xiaokang Pan, Shiming Yu
The control and scheduling for wireless networked control system with packet dropout and disturbance are investigated. A prediction based event triggered control is proposed to reduce data transmissions while preserving the robustness against external disturbance. First, a trigger threshold is especially designed to maintain the difference of the estimated and actual states below a proper boundary
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A Kind of Equivalence of Three Nonlinear Scalarization Functions in Vector Optimization J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Fei Li, Xinmin Yang
In this paper, by the notions of base functionals and augmented dual cones, the authors indicate firstly that the norms, Gerstewitz functionals and oriented distance functions have common characteristics with base functionals. After that, the equivalence of these three sublinear functions on the ordering cone is established by using the structures of augmented dual cones under the assumption that it
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Forecasting US Stock Market Returns: A Japanese Candlestick Approach J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Xiaoge Meng, Jun Ma, Han Qiao, Haibin Xie
A Japanese candlestick chart consists of not only the closing price but also the high, low and opening price information. Using the Japanese candlestick, this paper investigates the forecasting power of the shadow in Japanese candlestick chart. Empirical studies performed with the US stock market show that 1) there is a significant Halloween effect in the shadow; 2) shadow is valuable for predicting
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Adaptive Backstepping Sliding Mode Control of Uncertain Semi-Strict Nonlinear Systems and Application to Permanent Magnet Synchronous Motor J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Fang Wang, Jian-mei Wang, Kun Wang, Qun Zong, Changchun Hua
A disturbance observer (DOB) based-backstepping sliding mode control scheme is discussed for a class of semi-strict nonlinear system with unknown parameters and mismatched uncertainty. Firstly, adaptive technique and DOB are respectively applied to tackle the unknown parameters and mismatched uncertainty, where the DOB can effectively alleviate the chattering problem of sliding mode control (SMC).
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Feature Screening for High-Dimensional Survival Data via Censored Quantile Correlation J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Kai Xu, Xudong Huang
This paper proposes a new sure independence screening procedure for high-dimensional survival data based on censored quantile correlation (CQC). This framework has two distinctive features: 1) Via incorporating a weighting scheme, our metric is a natural extension of quantile correlation (QC), considered by Li (2015), to handle high-dimensional survival data; 2) The proposed method not only is robust
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Convergence of Self-Tuning Regulators under Conditional Heteroscedastic Noises with Unknown High-Frequency Gain J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Yaqi Zhang, Lei Guo
In the classical theory of self-tuning regulators, it always requires that the conditional variances of the systems noises are bounded. However, such a requirement may not be satisfied when modeling many practical systems, and one significant example is the well-known ARCH (autoregressive conditional heteroscedasticity) model in econometrics. The aim of this paper is to consider self-tuning regulators
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A Two-Step Test for the Two-Sample Problem of Processes of Ornstein-Uhlenbeck Type J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Yinfeng Wang, Yanlin Tang, Xinsheng Zhang
The authors propose a two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type. In the first step, the authors test the equality of correlation structures, based on the least square estimators of the correlation parameters, and the test statistic follows the standard normal distribution. If the null hypothesis is not rejected in the first step, the authors consider a second
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A Second-Order Sliding Mode Controller of Quad-Rotor UAV Based on PID Sliding Mode Surface with Unbalanced Load J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Bing Kang, Yan Miao, Fu Liu, Jilu Duan, Ke Wang, Shoukun Jiang
Quad-rotor unmanned aerial vehicle (UAV) is a typical multiple-input-multiple-output underactuated system with couplings and nonlinearity. Usually, the flying environment is very complex, so that it is impossible for the UAV to avoid effects derived from disturbances and uncertainties. In order to improve the reliability of flight control, we established the dynamic model of quad-rotor UAV by Newton-Euler
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The Dynamics of Two-State Public Opinion Propagation On Signed Networks J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Yue Gao, Ying Fan, Zengru Di
The formation of public opinion on the network is a hot issue in the field of complex network research, and some classical dynamic models are used to solve this problem. The signed network is a particular form of the complex network, which can adequately describe the amicable and hostile relationships in complex real-world systems. However, the methods for studying the dynamic process of public opinion
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Multistage Uncertain Random Linear Quadratic Optimal Control J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Xin Chen, Yuanguo Zhu
In this paper, linear quadratic (LQ) optimal control problems are investigated for two types of uncertain random systems which consider the coefficient of the perturbed term as a constant vector or a vector-valued function of state vector and control vector. First, the uncertain random optimal control model is established under expected value criterion. Second, based on Bellman’s principle, recurrence
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Fractal Solitons, Arbitrary Function Solutions, Exact Periodic Wave and Breathers for a Nonlinear Partial Differential Equation by Using Bilinear Neural Network Method J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Runfa Zhang, Sudao Bilige, Temuer Chaolu
This paper extends a method, called bilinear neural network method (BNNM), to solve exact solutions to nonlinear partial differential equation. New, test functions are constructed by using this method. These test functions are composed of specific activation functions of single-layer model, specific activation functions of “2-2” model and arbitrary functions of “2-2-3” model. By means of the BNNM,
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Formalising and Detecting Community Structures in Real World Complex Networks J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Pawan Kumar, Ravins Dohare
Community structure is an integral characteristic of real world networks whichever processes or areas they emerge from. This paper addresses the problem of community structure detection theoretically as well as computationally. The authors introduce a number of concepts such as the neighbourhood and strength of a subgraph, p-community, local maximal p-community, hubs, and outliers that play elemental
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Complex Systems in Economics and Where to Find Them J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Orlando Gomes, Mariya Gubareva
The economy as a whole and most of its constituent parts, like markets, government institutions, firms, or households, are inherently complex conceptual constructions. Micro-level diversity, decentralized interaction, self-organization, adaptation and learning, emergence, and evolution, are some of the fundamental features that the above entities share and that allow to classify them as being complex
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An Improvement of the Rational Representation for High-Dimensional Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Fanghui Xiao, Dong Lu, Xiaodong Ma, Dingkang Wang
Based on the rational univariate representation of zero-dimensional polynomial systems, Tan and Zhang proposed the rational representation theory for solving a high-dimensional polynomial system, which uses so-called rational representation sets to describe all the zeros of a high-dimensional polynomial system. This paper is devoted to giving an improvement for the rational representation. The idea
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Most Likely Optimal Subsampled Markov Chain Monte Carlo J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Guanyu Hu, Haiying Wang
Markov Chain Monte Carlo (MCMC) requires to evaluate the full data likelihood at different parameter values iteratively and is often computationally infeasible for large data sets. This paper proposes to approximate the log-likelihood with subsamples taken according to nonuniform subsampling probabilities, and derives the most likely optimal (MLO) subsampling probabilities for better approximation
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Sampling Dependent Stability Results for Aperiodic Sampled-Data Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-11-07 Hanyong Shao, Guangxia Yuan
This paper investigates sampling dependent stability for aperiodic sampled-data systems by employing a Lyapunov-like functional that is time-dependent, and not imposed to be definite positive. Based on the system information on the sampling interval wholly rather than partly, a new Lyapunov-like functional is constructed, which extends existing ones by introducing the integral of the system state and
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Introducing System Identification Strategy into Model Predictive Control J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Jianhong Wang, A. Ramirez-Mendoza Ricardo, de J Lozoya Santos Jorge
As system identification theory and model predictive control are belonged to two different research fields separately, so one gap exists between these two subjects. To alleviate this gap between them, one new idea proposed in this paper is to introduce system identification theory into model predictive control. As the most important element in model predictive control is the prediction of the output
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Nonparametric Estimation for the Diffusion Coefficient of Multidimensional Time-Varying Diffusion Processes J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Jun Wang, Ping Chen
This paper proposes a kernel estimator for the coefficient of multidimensional time-varying diffusion processes as an extension of the estimation model for one dimensional diffusion coefficient to the multidimensional case. By using “time division”, the authors overcome the problem of sample observation in time varying model. In addition, the authors prove the strong consistency and limit distribution
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Order Execution Probability and Order Queue in Limit Order Markets J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Qiang Zhang, Chao Wang, Shancun Liu, Yaodong Yang
The shaping of a limit order book illustrates the dynamics of the trading process, the changing pattern of the execution probability of limit orders therefore plays an important role. This paper presents a computable execution probability model for limit order market, as well as a numerical example that intuitively characterizes the changing pattern of the execution probability. The common effects
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A Mean-Field Linear-Quadratic Stochastic Stackelberg Differential Game with one Leader and Two Followers J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Guangchen Wang, Susu Zhang
This paper is concerned with a linear-quadratic (LQ) stochastic Stackelberg differential game with one leader and two followers, where the game system is governed by a mean-field stochastic differential equation (MF-SDE). By maximum principle and verification theorem, the open-loop Stackelberg solution is expressed as a feedback form of the state and its mean with the help of three systems of Riccati
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Robust Adaptive Multi-Switching Synchronization of Multiple Different Orders Unknown Chaotic Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Shafiq Muhammad,Ahmad Israr,Mohammed Ambusaidi,Naderi Bashir
Multi-switching synchronization (MSS) of multiple different orders unknown chaotic (UC) systems confines hacking in the digital transmission process. Similarly, the suppression of undesirable chattering increases synchronization performance. This paper proposes a new robust synchronization control (RASC) technique and discusses the MSS of multiple different orders UC systems. This controller accomplishes
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Isogeometric Least-Squares Collocation Method with Consistency and Convergence Analysis J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-10-08 Hongwei Lin,Yunyang Xiong,Xiao Wang,Qianqian Hu,Jingwen Ren
This paper presents the isogeometric least-squares collocation (IGA-L) method, which determines the numerical solution by making the approximate differential operator fit the real differential operator in a least-squares sense. The number of collocation points employed in IGA-L can be larger than that of the unknowns. Theoretical analysis and numerical examples presented in this paper show the superiority
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Stabilization with Arbitrary Convergence Rate for the Schrödinger Equation Subjected to an Input Time Delay J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Yanfang Li, Hao Chen, Yaru Xie
The stabilization problem for the Schrödinger equation with an input time delay is considered from the view of system equivalence. First, a linear transform from the original system into an exponentially stable system with arbitrary decay rate, also called “target system”, is introduced. The linear transform is constructed via a kind of Volterra-type integration with singular kernels functions. As
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Optimal Output Tracking Control and Stabilization of Networked Control Systems with Packet Losses J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Yue Liu, Chunyan Han
This paper studies the optimal output tracking control and stabilization for networked control systems with packet losses via output feedback control. Both finite-horizon and infinite-horizon cases are considered. For the finite-horizon case, the authors introduce an augmented system according to the state variable and the reference trajectory for the first time. Based on a set of difference Riccati
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Model-Based Network Scheduling and Control for Systems over the IEEE 802.15.4 Network J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Yunbo Zhao, Deheng Xu, Jiangtao He, Xugang Xi, Yu Kang
The scheduling and control of a class of wireless networked control system is investigated, whose control loop is closed via a shared IEEE 802.15.4 wireless network. By using a gain scheduler within the packet-based control framework and fitting the delay-dependent gains into a time-delay system model, a less conservative self-triggered approach is proposed to determine the sampling update, which consequently
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Fuzzy Modeling of Non-Uniformly Sampling Nonlinear Systems Based on Clustering Method and Convergence Analysis J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Hongwei Wang, Lirong Xie
The studying motivation of this paper is that there exist many modeling issues of non-uniformly sampling nonlinear systems in industrial systems. Based on multi-model modeling principle, the corresponding model of non-uniformly sampling nonlinear systems is described by the nonlinear weighted combination of some linear models at local working points. Fuzzy modeling based on multimodel scheme is a common
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An Algorithmic Approach to the q -Summability Problem of Bivariate Rational Functions J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Rong-Hua Wang
In 2014, Chen and Singer solved the summability problem of bivariate rational functions. Later an algorithmic proof was presented by Hou and the author. In this paper, the algorithm will be simplified and adapted to the q-case.
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Convergence in Distribution for Uncertain Random Sequences with Dependent Random Variables J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Rong Gao, Hamed Ahmadzade
Random variables and uncertain variables are respectively used to model randomness and uncertainty. While randomness and uncertainty always coexist in a same complex system. As an evolution of random variables and uncertain variables, uncertain random variable is introduced as a tool to deal with complex phenomena including randomness and uncertainty simultaneously. For uncertain random variables,
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An Efficient Multiple Imputation Approach for Estimating Equations with Response Missing at Random and High-Dimensional Covariates J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Lei Wang, Siying Sun, Zheng Xia
Empirical-likelihood-based inference for parameters defined by the general estimating equations of Qin and Lawless (1994) remains an active research topic. When the response is missing at random (MAR) and the dimension of covariate is not low, the authors propose a two-stage estimation procedure by using the dimension-reduced kernel estimators in conjunction with an unbiased estimating function based
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New Results on H ∞ Control for Nonlinear Conformable Fractional Order Systems J. Syst. Sci. Complex. (IF 0.926) Pub Date : 2020-09-09 Viet Thuan Mai, Thi Huyen Thu Nguyen, Huu Sau Nguyen, Thi Thanh Huyen Nguyen
This paper deals with H∞ control problem for nonlinear conformable fractional order systems. The authors first derive new sufficient condition for exponential stability of nonlinear conformable fractional order systems based on Lyapunov-like function method for conformable fractional order systems and linear matrix inequalities (LMIs) approach. Then, by introducing a new concepts of H∞ control problem
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