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Novel parameter estimation method for the systems with colored noises by using the filtering identification idea Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-14 Ling Xu, Feng Ding, Xiao Zhang, Quanmin Zhu
Compared with the systems with white noise disturbances, the parameter identification of the systems with colored noises (i.e., correlated noises) is more difficult. In this letter, we use the model transformation to study the identification problem for the systems with colored noises by using the filtering identification idea. The basic idea is to transform a system with colored noise into two identification
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Highly-efficient filtered hierarchical identification algorithms for multiple-input multiple-output systems with colored noises Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-14 Haoming Xing, Feng Ding, Xiao Zhang, Xiaoli Luan, Erfu Yang
Multiple-input multiple-output (MIMO) systems have extensive applications in industrial processes and systems engineering. This letter applies the filtering identification idea to establish a filtered identification model and investigate a filtered auxiliary model-based recursive least squares (F-AM-RLS) algorithm for parameter identification of MIMO systems with colored noises. To improve the computational
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Dynamic output feedback control of switched systems: A dynamic event-triggered sampling control scheme Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-08 Zhengbao Cao, Jun Fu
A dynamic event-triggered sampling scheme for dynamic output feedback control for a class of switched systems is proposed, where the triggering mechanism can exclude the Zeno phenomenon even if the state of the switched systems is within the output kernel space, and subsystems of the resulting closed-loop switched systems are not necessarily required to be stable. The proposed method can guarantee
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Feedback rectifiable pairs and stabilization of switched linear systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-07 M.C. Honecker, H. Gernandt, K. Wulff, C. Trunk, J. Reger
We address the feedback design problem for switched linear systems. In particular we aim to design a switched state-feedback such that the resulting closed-loop subsystems share the same eigenstructure. To this effect we formulate and analyse the feedback rectification problem for pairs of matrices. We present necessary and sufficient conditions for the feedback rectifiability of pairs for two subsystems
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High-order Krylov subspace model order reduction methods for bilinear time-delay systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-06 Gao-Yuan Cheng, Zhen Miao, Yao-Lin Jiang
Model order reduction methods via high-order Krylov subspace for bilinear time-delay systems are developed in this paper. The proposed methods are based on the expansion of the Taylor series or Laguerre series. The obtained reduced systems can not only match certain expansion coefficients but also preserve the structure of the original system. We also briefly discuss the two-sided projection reduction
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Stochastic LQ optimal control for Markov jumping systems with multiplicative noise using reinforcement learning Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-05 Linwei Ye, Zhonggai Zhao, Fei Liu
The stochastic linear quadratic (LQ) problem of discrete-time linear Markov jumping systems with multiplicative noise is investigated in this paper. Two reinforcement learning algorithms, one model-based and one model-free, are designed. The algorithms can be readily adapted to handle nonlinear cases by employing an appropriate function approximator. In the linear case, the network structure is designed
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Further results on optimal local and remote control with packet losses and transmission delay Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-04 Yujiao Song, Qingyuan Qi, Yue Sun
In this article, the finite horizon optimal local and remote control (LRC) problem is further investigated for the case that both the packet losses (PL) and the transmission delays (TD) occur over the unreliable uplink channel from the local controller to the remote controller. In terms of the variational technique and the dynamic programming approach, the LRC problem with PL and TD is solved for the
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Assignment of spectrum for time-varying linear control systems via kinematic equivalence Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-04 Pham The Anh, Adam Czornik, Thai Son Doan, Nguyen Thi Thu Suong
In this note, we consider a uniformly completely controllable linear system. For this system, we show the existence of a linear state feedback such that the corresponding closed-loop system is kinematically equivalent to a linear time-invariant system whose spectrum is a prior set of distinct real numbers.
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Finite-step alternating approximately bi-similar symbolic model for Markov jump systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-03-04 Yongzhuang Liu, Yang Song
Establishing a bi-similar abstraction (symbolic model) of control systems has been demonstrated as a viable approach for implementing temporal logic tasks on control systems. Previous research primarily focused on logic tasks over an infinite time horizon. However, practical scenarios often involve control tasks defined within finite time intervals. Hence, this paper addresses the finite-time bi-similar
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Discrete time risk sensitive control problem Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-29 Łukasz Stettner
In the paper adapting Krein Rutman theory we show the existence of solutions to the long run risk sensitive control problem for controlled discrete time Markov processes over locally compact separable metric space. The problem of uniqueness of solutions to suitable Bellman equation is also considered.
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A distributed protocol for finite-time supremum or infimum dynamic consensus: The directed graph case Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-29 Antonio Furchì, Martina Lippi, Alessandro Marino, Andrea Gasparri
This paper proposes a distributed protocol for tracking the global maximum supremum (or minimum infimum) of a set of exogenous time-varying signals. Specifically, each agent has only access to one of these signals and, by implementing the proposed protocol, it is able to track in finite-time the maximum supremum (or the minimum infimum) of the exogenous time-varying signals in a distributed fashion
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Quantized iterative learning control for nonlinear multi-agent systems with initial state error Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-28 Ting Zhang, Ning Li, Jiaxi Chen
This paper proposed a consensus problem for nonlinear multi-agent systems (MAS) with logarithmic quantization and arbitrary initial states. By introducing the quantization, digital communication between signals is realized and the requirement of utilizing the digital channel more effective is also achieved. In order to eliminate the initial state errors introduced by the assumption of any initial value
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Complete type functional approach to input to state stability of time-delay systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-28 Marco A. Gomez, Sabine Mondié
This note addresses the study of input to state stability of nonlinear time-delay systems that are linearizable in the first approximation. It is established that, under mild conditions, the so-called complete type functional of the associated linear systems with delay is a Local Input to State Lyapunov–Krasovskii functional. Moreover, this complete type functional, which is fully defined by the delay
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Exact controllability for a Rayleigh beam with piezoelectric actuator Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-24 Yubo Bai, Christophe Prieur, Zhiqiang Wang
In this paper, exact controllability problem for a Rayleigh beam with piezoelectric actuator is considered. Controllability results show that the space of controllable initial data depends on the regularity of the control and the location of the actuator. Two different spaces of control, and , correspond to two different controllability properties, -controllability and -controllability, respectively
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Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-22 Daniela Lupu, Ion Necoara
Deep neural networks have revolutionized many fields, including image processing, inverse problems, text mining and more recently, give very promising results in systems and control. Neural networks with hidden layers have a strong potential as an approximation framework of predictive control laws as they usually yield better approximation quality and smaller memory requirements than existing explicit
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Learning-based optimal control of linear time-varying systems over large time intervals Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-22 Vasanth Reddy, Almuatazbellah Boker, Hoda Eldardiry
We solve the problem of two-point boundary optimal control of linear time-varying systems with unknown model dynamics using reinforcement learning. Leveraging singular perturbation theory techniques, we transform the time-varying optimal control problem into two time-invariant subproblems. This allows using an off-policy iteration method to learn the controller gains. We show that the performance of
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Event-triggered neural adaptive tracking control for output constrained nonlinear multi-agent systems with unmodeled dynamics and unknown signs Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-22 Feisheng Yang, Zhucheng Liu, Yu Zhao
This paper studies the distributed cooperative control problem of uncertain non-strict feedback nonlinear multi-agent systems including time-varying output constraints, unmodeled state dynamics and unknown control directions. By introducing two universally constrained functions and using error coordinate transformation, the output constraints are effectively handled. Meanwhile, the convergence of cooperative
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Reinforcement learning for linear exponential quadratic Gaussian problem Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-21 Jing Lai, Junlin Xiong
This paper addresses the infinite-horizon linear exponential quadratic Gaussian problem for a class of stochastic systems with additive noise. A model-free generalized policy iteration reinforcement learning algorithm is proposed to estimate the kernel matrices and update the control gains using the data along system trajectories. The estimation errors of the kernel matrices are proven to be bounded
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Performance-variable decomposition in retrospective cost adaptive control of linear time-varying systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-19 Sneha Sanjeevini, Dennis S. Bernstein
This paper develops a discrete-time, linear time-varying (DTLTV) framework for analyzing the retrospective performance variable used in retrospective cost adaptive control (RCAC). This is done by first developing expressions for transforming between DTLTV state–space models and DTLTV input–output models. These expressions are then used to derive an additive decomposition of the retrospective performance
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Reinforcement learning for distributed transient frequency control with stability and safety guarantees Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-19 Zhenyi Yuan, Changhong Zhao, Jorge Cortés
This paper proposes a reinforcement learning-based approach for optimal transient frequency control in power systems with stability and safety guarantees. Building on Lyapunov stability theory and safety-critical control, we derive sufficient conditions on the distributed controller design that ensure the stability and transient frequency safety of the closed-loop system. Our idea of distributed dynamic
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Simultaneous input and state estimation with multi-step delay for linear stochastic systems based on infinity filtering and smoothing Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-19 Bo Ding, Zhengyu Ren, Huajing Fang
This paper presents a novel method for simultaneous unknown input and state estimation (UISE) with multi-step delay for linear stochastic systems with rank-deficient direct feed-through matrix. The augmented Kalman filter and smoothing are established with an input model, where the input signal follows a specific probability distribution with finite covariance. Then, in light of the established properties
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Deadzone-adapted disturbance suppression control for global practical IOS and zero asymptotic gain to matched uncertainties Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-17 Iasson Karafyllis, Miroslav Krstic
For control-affine nonlinear systems with a disturbance and unknown parameters satisfying a matching condition but not having a known bound, we introduce a direct adaptive control scheme with three design elements: (a) nonlinear damping, (b) single-gain adjustment, and (c) deadzone in the update law. Combining these three ingredients for the first time, we guarantee the following previously unattained
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Reinforcement learning in non-Markovian environments Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-16 Siddharth Chandak, Pratik Shah, Vivek S. Borkar, Parth Dodhia
Motivated by the novel paradigm developed by Van Roy and coauthors for reinforcement learning in arbitrary non-Markovian environments, we propose a related formulation and explicitly pin down the error caused by non-Markovianity of observations when the Q-learning algorithm is applied to this formulation. Based on this observation, we propose that the criterion for agent design should be to seek good
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Robust output regulation for uncertain nonlinear minimum phase systems under unknown control direction Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-15 Yizhou Gong, Fanglai Zhu, Yang Wang
This paper investigates the problem of disturbance rejection for SISO uncertain nonlinear minimum phase systems perturbed by an external disturbance under the framework of robust output regulation. The model parameters of the systems in question are uncertain, including the control direction. In addition, the external disturbance can be structured or unstructured but bounded. Towards this end, a novel
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Existence of open-loop equilibria in differential games with impulsive effects suffered by logic choice Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-14 Yuting Xue, Jitao Sun, Yu Zhang
This paper proposes a novel class of differential games where one player adopts piecewise constant strategies and the other implements impulse suffered by logic choice. To the best of our knowledge, the discussion in this paper has been the first try to investigate differential games with impulsive effects suffered by logic choice. Based on semi-tensor product, impulsive effects suffered by logic choice
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Forward–backward stochastic evolution equations in infinite dimensions and application to LQ optimal control problems Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-12 Maozhong Xu, Maoning Tang, Qingxin Meng
This paper focuses on the study of forward–backward stochastic evolution equations (FBSEEs), which are a class of nonlinear fully coupled forward–backward stochastic differential equations (FBSDEs), in infinite dimensions. Drawing inspiration from various linear-quadratic (LQ) optimal control problems, we apply a set of domination-monotonicity conditions that are more relaxed compared to general conditions
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Non-overshooting control of nonlinear pure-feedback systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-09 F, u, j, i, n, , J, i, a
In this paper, the non-overshooting tracking control problem of nonlinear pure-feedback systems is studied. From the model, nonlinear pure-feedback systems are more general than nonlinear strict-feedback systems. In this way, the nonlinear pure-feedback system can express the physical system that the strict-feedback system cannot. Therefore, it is more meaningful to study the nonlinear pure-feedback
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Composite hierarchical hybrid anti-disturbance control for Markovian jump systems with event-triggered disturbance Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-08 Xiuming Yao, Xinyu Wen
This paper addresses the hybrid control for Markovian jump systems subject to multiple disturbances. One disturbance is an energy bounded signal, while the other is an event-triggered sinusoidal disturbance with unknown frequencies and amplitudes. Based on the framework of disturbance observer, we firstly propose novel proportional integral cascaded observers to estimate the unknown sinusoidal disturbance
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Distributed constrained optimization for multi-agent networks with communication delays under time-varying topologies Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-07 Yuanyuan An, Aiping Wang, Xufeng Zhang, Feng Xiao
In this paper, a distributed constrained optimization problem for discrete-time multi-agent systems with time-varying directed graphs is studied and a distributed projection subgradient algorithm is proposed. Furthermore, we investigate the scenario involving time delays in agent interactions and use an augmented matrix method to deal with delays. Specifically, we introduce virtual nodes along with
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[formula omitted] model order reduction: A relative error setting Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-06 Umair Zulfiqar, Xin Du, Qiu-Yan Song, Muwahida Liaquat, Victor Sreeram
In dynamical system theory, the process of obtaining a reduced-order approximation of the high-order model is called model order reduction. The closeness of the reduced-order model to the original model is generally gauged by using system norms of additive or relative error systems. The relative error is a superior criterion to the additive error in assessing accuracy in many applications like reduced-order
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Feasibility governor for MPC with disturbance preview information Syst. Control Lett. (IF 2.6) Pub Date : 2024-02-06 Jordan Leung, Ilya Kolmanovsky
This paper presents a feasibility governed preview MPC (PMPC) strategy for the control of constrained linear systems with previewed disturbances. The feasibility governor (FG) minimally modifies the supplied reference command so that the predicted terminal state of the PMPC policy remains in a robustly control invariant terminal set. As a result, recursively feasibility of the combined FG-PMPC strategy
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Repulsive Markovian models for opinion dynamics Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-31 Carl-Johan Heiker, Elisa Gaetan, Laura Giarré, Paolo Falcone
We consider the problem of modeling a decision-making process in a network of stochastic agents, each described as a Markov chain. Two approaches for describing disagreement among agents as social forces are studied. These forces modulate the rates at which agents transition between decisions. We define conditions between the two disagreement models and derive a method for obtaining two model instances
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On the convergence of degenerate risk sensitive filters Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-29 Mattia Zorzi, Shenglun Yi
We propose a degenerate risk sensitive filter which is an extension of the risk sensitive filtering paradigm to the case in which the evolution of the covariance matrix of the prediction error can be singular. We show that the corresponding risk sensitive Riccati iteration, describing the evolution of the covariance matrix of the prediction error, converges if the risk sensitivity parameter and the
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On the stability of distance-based formation control with minimally globally rigid graphs Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-28 Farid Sahebsara, Marcio de Queiroz
Flip ambiguities are a notorious issue with distance-based formation control over minimally rigid graphs, owing to the presence of multiple equilibrium points in the closed-loop formation dynamics. This paper introduces a method for proving the stability of such controllers over minimally rigid graphs to avoid these ambiguities in 2D. The proposed method involves embedding the 2D formation in 3D and
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Pseudo-Bautin bifurcation for a non-generic family of 3D Filippov systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-25 José Manuel Islas, Juan Castillo, Fernando Verduzco
We consider the non-generic family of piecewise linear systems, with a discontinuity plane that have two parallel tangency lines, such that the region between them is the sliding region. It is known that the change of stability of the sliding region gives rise to the called pseudo-Hopf bifurcation. The stability of the crossing limit cycle that emerges from this bifurcation mechanism is characterized
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Value iteration for LQR control of unknown stochastic-parameter linear systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-24 Wenwu Fan, Junlin Xiong
This paper focuses on the linear-quadratic optimal control problem for unknown stochastic-parameter linear systems using reinforcement learning methods. Based on the second moments of random system matrices, a model-based value iteration algorithm is proposed to solve the problem and is proved to be convergent by using the contraction mapping theorem. For the case without knowing any information about
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Second-order necessary condition for partially observed stochastic system with random jumps Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-22 Tian Chen, Zongyuan Huang, Zhen Wu
In this paper, we investigate the singular optimal control problem for partially observed stochastic control system with random jumps. In our model, the control variable is allowed to enter all coefficients of the state equation and observation equation and the control domain is assumed to be convex. In this case, we obtain the integral-type second-order necessary condition for singular optimal control
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Insights on equidistributed real spectral values in second-order delay systems: Perspectives in partial pole placement Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-22 Timothée Schmoderer, Islam Boussaada, Silviu-Iulian Niculescu, Fazia Bedouhene
In this work, we show that the coexistence of the maximal number of real spectral values of generic single-delay retarded second-order differential equations guarantees the realness of the rightmost spectral value. From a control theory standpoint, this entails that a delayed proportional-derivative (PD) controller can stabilize a delayed second-order differential equation. By assigning the maximum
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Nonstandard anti-windup approach for event-triggered control purpose Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-22 Carla de Souza, Sophie Tarbouriech, Isabelle Queinnec, Antoine Girard
This paper aims at designing both a nonstandard anti-windup action and an event-triggering mechanism that reduce the transmission activity on the network while preserving the asymptotic stability of a linear system under a dynamic output-feedback controller. The event-triggering policy is based on the use of an additional internal dynamic variable. The nonstandard anti-windup term, which uses the difference
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Zero-determinant strategies of multi-player multi-action repeated games with multiple memories Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-22 Yanfei Wang, Changxi Li, Jun-e Feng
This paper investigates zero-determinant (ZD) strategies for iterated multi-player multi-action games with multiple memories. First, using the semi-tensor product (STP) of matrices, an equivalent algebraic model for the iterated game is proposed. Based on the algebraic expression, ZD strategies are derived for repeated finite games with multiple memories, allowing players to unilaterally apply a linear
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Neural operators for PDE backstepping control of first-order hyperbolic PIDE with recycle and delay Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-20 Jie Qi, Jing Zhang, Miroslav Krstic
The recently introduced DeepONet operator-learning framework for PDE control is extended from the results for basic hyperbolic and parabolic PDEs to an advanced hyperbolic class that involves delays on both the state and the system output or input. The PDE backstepping design produces gain functions that are outputs of a nonlinear operator, mapping functions on a spatial domain into functions on a
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In domain dissipation assignment of boundary controlled Port-Hamiltonian systems using backstepping Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-18 Jeanne Redaud, Jean Auriol, Yann Le Gorrec
In this paper, we develop a systematic approach to stabilize a general class of hyperbolic systems while assigning them a specified closed-loop behavior with a clear energy interpretation. More precisely, we address in-domain dissipation assignment for boundary-controlled Port Hamiltonian systems. The controller is designed so that the closed-loop system behaves like a target system with a specified
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A geometrical approach for consensus security Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-17 Camilla Fioravanti, Luca Faramondi, Gabriele Oliva, Christoforos Hadjicostis
Guaranteeing security against eavesdroppers while allowing agents to reach an agreement on some shared variables is an essential feature to foster the adoption of distributed protocols. In the literature, a wide variety of methodologies have been developed in the discrete-time case, and most of them rely on encryption and undirected graphs, often exhibiting quantization or accuracy issues. In this
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Stability and stabilizability of positive switched discrete-time linear singular systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-17 Do Duc Thuan, Ninh Thi Thu
The positivity, stability and stabilizability of switched discrete-time linear singular (SDLS) systems are studied. Our analysis builds on the recently introduced one-step-map for SDLS systems of index-1 and the stability of positive singular systems. We first provide the positive conditions for SDLS systems and the sufficient stability conditions for positive SDLS systems. After that we derive notions
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Delay-variation-dependent summation inequality and its application to stability analysis of discrete-time systems with time-varying delay Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-15 Chen-Rui Wang, Yong He, Chuan-Ke Zhang, Wen-Hu Chen, Min Wu
This work tends to research the stability of the discrete-time systems with a time-varying delay based on the Lyapunov-Krasovskii functional (LKF) method. In order to acquire a less conservative stability criterion, some techniques in this work are refined and taken into use. Firstly, to reduce the conservatism generated when estimating the forward difference of the LKF, a newly delay-variation-dependent
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Input-to-state exponential stability of switched nonlinear time-delay systems having stable/unstable subsystems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-15 Gökhan Göksu
This research introduces new approaches to the Lyapunov–Krasovskii methodology to ensure the input-to-state exponential stability of switched nonlinear time-delay systems with stable and unstable subsystems. New average dwell-time bounds are provided by using the trade-off among the activation times of the stable and unstable subsystems. As illustrative examples, two systems representing neuronal population
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Stabilizability of multi-agent systems under event-triggered controllers Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-15 Yinshuang Sun, Zhijian Ji, Yungang Liu, Chong Lin
In view of the problems of large consumption of communication and computing resources in the control process, this paper studies a fundamental property for a class of multi-agent systems under event-triggered strategy: the S-stabilizability of a group of multi-agent systems with general linear dynamics under weakly connected directed topology. The results indicate that the S-stabilizability can be
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Predictor-based observer and controller for nonlinear systems with input/output delays Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-15 Xueliang Liu, Wei Lin
This letter addresses the problem of asymptotic stabilization by output feedback for nonlinear systems with delays in the input and output. Under stabilizability and detectability of the linearized time-delay system, we show that asymptotic stabilization is solvable by predictor-based nonlinear observer and dynamic output compensator. The proof is based on the linearization method, the design of local
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Double feedback control-based H∞ admissibilization for hybrid descriptor systems subject to external impulses and fast varying delays Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-15 Guangming Zhuang, Shengyuan Xu, Jianwei Xia, Qian Ma
This paper is concerned with the H∞ admissibilization for hybrid descriptor systems subject to external impulses, Markovian jumping and fast varying delays characteristics by virtue of designing double feedback controllers. The neoteric double feedback controllers are composed of normal state feedback controller and impulsive controller, not only the internal impulses can be eliminated, but also the
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A hybrid approach to the stability analysis of sampled-data Lur’e systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-13 Arthur Scolari Fagundes, João Manoel Gomes da Silva, Sophie Tarbouriech
This work deals with the stability analysis of Lur’e systems under sampled-data control, where the Lur’e nonlinearity is assumed to be both sector and slope restricted. The stability conditions are derived by using a hybrid system representation and a generalized Lur’e type timer-dependent Lyapunov function. Considering a polynomial timer-dependence, the stability conditions are cast in sum-of-squares
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Exact boundary controllability of nodal profile for the system of one-dimensional adiabatic flow Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-13 Libin Wang, Zhuo Lin Teh
In this paper, we study the exact boundary controllability of nodal profile for the system of one-dimensional adiabatic flow by means of the specificity of the entropy S which is constant about the time t. By a constructive method, we realize the exact boundary controllability of nodal profile by controlling the velocity or the pressure on the side without the nodal profile. Moreover, for the case
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Optimization of transient performance for continuous-time switched linear autonomous systems Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-05 Miaomiao Wang, Zhendong Sun
For the general class of continuous-time switched linear autonomous systems, this work presents a constructive design scheme to estimate and optimize the transient response in terms of state overshoot and settling time. Based on the pathwise state feedback switching strategy, we present theoretical characterizations of the transient performance, and develop a computational design procedure that optimizes
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Finite-time stochastic control for complex dynamical systems: The estimate for control time and energy consumption Syst. Control Lett. (IF 2.6) Pub Date : 2024-01-02 Xiaoxiao Peng, Shijie Zhou
Controlling complex dynamical systems has garnered significant attention within academic circles in recent decades. While most existing works have focused on closed-loop control schemes with infinite-time durations, this paper introduces a novel finite-time, closed-loop stochastic controller that considers control time, energy consumption, and their dependence on system parameters. This stochastic
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Topological approach and analysis of clustering in consensus networks Syst. Control Lett. (IF 2.6) Pub Date : 2023-12-12 Jeong-Min Ma, Hyung-Gon Lee, Hyo-Sung Ahn, Kevin L. Moore, Kwang-Kyo Oh
We study clustering properties of networks of single-integrator nodes over a directed graph, in which the nodes converge to steady-state values. These values define clustering groups of nodes, which are considered dependent on interaction topology and edge weights. Focusing on the interaction topology of the network, in this paper, we introduce the notion of topological clusters, which are sets of
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Optimal strategies for large-scale pursuers against one evader: A mean field game-based hierarchical control approach Syst. Control Lett. (IF 2.6) Pub Date : 2023-12-07 Lu Ren, Yuxin Jin, Zijia Niu, Guofang Wang, Wang Yao, Xiao Zhang
This paper proposes a two-level hierarchical control approach based on pursuit-evasion game and mean field game for the problem of large-scale pursuers with multi-population against a single evader, which implements that the evader is surrounded by pursuers. At the upper layer, we model the pursuit-evasion game between the centers of the pursuer populations and the single evader, which is formulated
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Distributed optimization under edge agreements: A continuous-time algorithm Syst. Control Lett. (IF 2.6) Pub Date : 2023-12-08 Zehui Lu, Shaoshuai Mou
Generalized from the concept of consensus, this paper considers a group of edge agreements, i.e. constraints defined for neighboring agents, in which each pair of neighboring agents is required to satisfy one edge agreement constraint. Edge agreements are defined locally to allow more flexibility than a global consensus. This work formulates a multi-agent optimization problem under edge agreements
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Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems Syst. Control Lett. (IF 2.6) Pub Date : 2023-12-12 Yaxin An, Yongchao Liu
This paper proposes an observer-based dynamic event-triggered adaptive control approach for uncertain nonlinear strict-feedback systems. Initially, an observer for unmeasurable states is constructed. Subsequently, employing backstepping technique, the output-feedback adaptive control law and parameter adaptive law are developed. The tuning function method is used to avoid the over-parameterization
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Recursive filtering for an uncertain system with wireless switching channels and fading measurements: A microseismic event detection method Syst. Control Lett. (IF 2.6) Pub Date : 2023-11-24 Dongyan Dai, Jiahui Li, Hanyang Li, Hongli Dong, Hang Li, Gang Xu
In this paper, the microseismic event detection problem is analyzed for an array of microseismic systems by developing a novel recursive filtering algorithm. The state-space model of the microseismic system with parameter uncertainty is constructed on the basis of the seismic wavelet and the ambient noise. In view of the actual situation of the wireless transmission, the switching channels and fading