This article is concerned with event‐triggered bipartite tracking consensus under an asynchronous sampling setting, where the event‐triggering condition for each agent is allowed to be intermittently examined at its own sampling instants. First, a novel distributed protocol based on independent sampling period is presented, with which the bipartite tracking consensus issue can be transformed into the

This article provides a comprehensive study on quantitative properties of linear mixed fractional‐order systems with multiple time‐varying delays. The delays can be bounded or unbounded. We first obtain a result on existence and uniqueness of solutions to these systems. Then, we prove a necessary and sufficient condition for their positivity. Finally, we provide a necessary and sufficient criterion

This article aims at providing tractable conditions of robust performance (RP) analysis for interconnected uncertain system with networked communication, which is composed of heterogeneous uncertain subsystems connected over an undirected graph. Each subsystem communicates with its neighbors through local packet‐based communication network asynchronously and independently. First, the interconnected

This article addresses a surveillance problem where the goal is to achieve a circular motion around a target by a non‐holonomic differentially driven mobile robot. The available information for the mobile robot includes its own position, velocity with respect to the inertial frame, and the bearing angle of the target in its body frame. Since the target position is unavailable, an estimator is first

This article focuses on model predictive control (MPC) of nonlinear systems in the case that the system parameters are inaccurate due to equipment wear or environmental changes. An MPC where the parameters of the predictive model are recursive estimated is proposed for nonlinear continuous time systems. The range of initial state that is able to guarantee the state always bounded in an allowable stability

In the article a method which is able to provide the required performance level of a system is proposed. Its principle is to combine the results of conventional control methods with those of methods based on nonconventional, for example, machine‐learning‐based ones. In more detail, it designs a robust linear parameter varying (LPV) control in a predefined form, whose output is equivalent to the output

This article investigates the event‐triggered (ET) states feedback robust control problem for a class of continuous‐time networked semi‐Markov jump systems (S‐MJSs). An ET scheme, which depends on semi‐Markov process, is presented to design a suitable controller and save communication resources. To cope with the network transmission delay phenomenon, a time‐delay S‐MJSs model under the ET scheme is

Model predictive control is a prominent approach to construct a feedback control loop for dynamical systems. Due to real‐time constraints, solving model‐based optimal control problems in a very short amount of time can be challenging. For linear‐quadratic problems, Bemporad et al have proposed an explicit formulation where the underlying optimization problems are solved a priori in an offline phase

This article addresses the distributed state estimation problem for uncertain time‐varying dynamic systems with state constraints over a sensor network. By using a null space method, the distributed state estimation problem for uncertain dynamic systems with state constraints can be cast into a new unconstrained distributed state estimation problem for reduced uncertain dynamic systems. A constrained

This article investigates the problem of distributed attitude tracking control for the leader‐follower spacecraft in the presence of the external disturbances, model uncertainties, and actuator faults. First, a novel fixed‐time observer is developed to estimate the angular velocity of the leader. In contrast to the existing finite‐time observer design methods, the settling time is independent of the

In this article, the problem of event‐triggered dynamic output feedback control is investigated for a class of networked nonlinear systems with mixed delays and packet dropouts. By applying the cone complementary linearization technique, sufficient conditions are developed such that the resulting closed‐loop system dynamics is mean square asymptotically stable with a desired performance level. The

This article presents a novel event‐triggered adaptive control approach to solve the stabilization problem of a class of switched strict‐feedback nonlinear systems with parameter uncertainties. The proposed approach achieves that subsystem controllers and switched update laws of subsystems are both event‐triggered under a dwell‐time. Also, the proposed approach effectively handles the asynchronous

This article investigates the robust output regulation problem of a class of minimum‐phase linear uncertain systems subject to limited measurement information. A novel dynamic quantized output feedback control law together with a hybrid quantized feedback control policy is developed. By means of Lyapunov analysis, it is shown that the tracking error tends to zero asymptotically in spite of system uncertainties

This article focuses on the design of a robust switching control law for uncertain switched affine systems in the discrete‐time domain. More precisely, a novel control law is introduced whose parameters result from an optimization problem, aiming at reducing the volume of the attractive and invariant set, where the solutions to the closed‐loop system converge to. The design is based on a quadratic

This article addresses the plant‐model mismatch estimation problem for linear multiple‐input and multiple‐output systems operating under the dynamic matrix control (DMC) implementation of model predictive control. An autocovariance‐based method is proposed, aiming to identify parameter values that minimize the discrepancy between the theoretical autocovariance matrices derived from implementing the

Suspension systems are critical to the ride comfort and handling stability of vehicles, but traditional passive suspensions fail to achieve optimal performance in the two aspects. Semi‐active suspension controller changes the suspension stiffness or damping to improve the ride comfort and handling stability, which has the potential advantages of low energy consumption and high reliability. In this

An event‐triggered nonfragile distributed H∞ control problem is considered in this article for a class of uncertain nonlinear networked control systems over sensor networks with random communication packet dropouts and redundant channels. Redundant channel transmission is utilized to model the communication measurement and to improve the reliability and quality of the communication data transmission

The finite‐time stabilization and H∞ control of stochastic nonlinear systems was investigated in this article. First, we discussed the relationship between the finite‐time stability and the dissipation property by transforming the stochastic nonlinear system to its equivalent Hamiltonian formulation. It was showed that the stochastic dissipative Hamiltonian system is finite‐time stable in probability

This article is devoted to the global practical tracking for a class of uncertain nonlinear systems. Notably, the input powers of the system are unknown and not required to be upper bounded by known constants. This means the presence of new type of serious uncertainties, which makes the problem under investigation largely challenging and urges us to develop a new powerful adaptive control scheme, particularly

This article studies an adaptive control problem for nonaffine nonlinear systems with linear parametric uncertainty. Inspired by the affine system case, the studied nonaffine nonlinear systems are specified such that the ideal control input is implicitly defined by a matching equation stemming from a Lyapunov‐based analysis. The core idea of control design is to solve the matching equation in a dynamic

This article investigates the leader‐following formation control of multiple uncertain nonholonomic wheeled mobile robots. The leader trajectory can be any sufficiently smooth signal, either feasible or nonfeasible. This includes but not limited to a fixed point, a trimming trajectory, and the one that does not satisfy the nonholonomic constraint as robots in question do. To compensate for the effects

This study aims to design a robust state feedback controller for uncertain and perturbed linear systems with state constraints described by a polytope. This novel design incorporates the use of a composite barrier Lyapunov function (CBLF) and the convex hull of a set of ellipsoids inscribed in the given polytopic constraint set. The CBLF is used to ensure that this convex hull is an invariant set for

In this article, an event‐triggered sampled‐data implementation of a class of finite‐time consensus controllers is considered for first‐order multiagent systems under general directed communication graphs. Each agent only updates its control input at its event‐triggering time instants. From any initial condition of the agents, it is rigorously proved that the proposed control strategy can achieve consensus

The active disturbance rejection control (ADRC) scheme requires a high bandwidth in the extended state observer (ESO), causing heavy noise pollution in the control system. This article develops an effective and simple adaptive ADRC scheme to realize high performance control when ESO bandwidth is limited. The adaptative law is generated by the state tracking error such that all the feedback loops and

A cooperative controller that enforces an exact sliding motion in predefined‐time, assuring cooperativeness, and stable manipulation, is proposed in this article. Alternatively, a continuous controller is also proposed, which induces in predefined‐time that a hybrid force/position error converges into a predefined‐bounded vicinity of the origin. Numerical simulations highlight the effectiveness of

This article investigates the dynamic output feedback control problem for a class of networked Markovian jump systems via sliding mode control method. The stochastic communication protocol schedules the communication between sensors and the controller, by which only one sensor node can access the network at one instant. First, a compensator at the controller side is utilized to yield the available

In this article, the exponential stabilization for a class of switched nonlinear delayed systems is addressed via aperiodic sampled‐data control with asynchronous switching. A new type of looped multiple Lyapunov‐Krasovskii functionals (LKFs) is developed, which depend both on the system modes and on the controller modes. Moreover, the constructed looped LKFs are discontinuous and relax restrictions

We study the exponential synchronization of coupled inertial neural networks with both discrete‐time delay and distributed delay by quantized pinning controllers. Novel integral inequalities, which generalize the Jensen‐based inequality, are developed by choosing appropriate weight functions in our recent work. An exponential synchronization criterion is established by applying these inequalities to

In this article, we investigate the almost output consensus problem for nonlinear multiagent systems under the influence of external disturbances. The problem of almost output consensus of nonlinear multiagent systems is formulated. Conditions on the nonlinear systems are established under which distributed consensus protocols are designed in a recursive manner. These protocols are shown to achieve

This article studies consensus of a group of heterogeneous agents with first‐order and second‐order integrator dynamics in presence of malicious agents. We employ the algorithm where each normal agent ignores large and small relative state values of its neighbors to mitigate the effects of malicious agents. Assuming that the maximum number of malicious agents in the neighborhood of each agent is known

The class of systems that can be globally asymptotically stabilized by the well‐known control law , is extended, in respect to literature. This control law is suitable for application to systems of unknown structure, and it is shown that it is more advantageous than the linear control law. The stability proof is based on solutions of a newly introduced problem, which is a specialization of the passivation

This article presents an observer‐based event‐triggering strategy for systems with slope‐restricted nonlinearities that depend on the state. Both the emulation and codesign problems are addressed. To avoid Zeno behavior, a minimum dwell time is considered. By using a looped‐functional approach and the cone‐bounded properties of the nonlinearity, sufficient conditions based on linear matrix inequalities

This article is concerned with the moving horizon estimation (MHE) problem for a class of linear discrete‐time systems subject to multirate measurements and correlated noises. The sensors of the plant are grouped into two nodes with different sampling periods, which give rise to the multirate measurements. Under the effects of multirate measurements, the underlying system is then described by a periodic

This article presents the development and experimental validation of an emissions oriented model predictive controller for a diesel engine. The control objective is to minimize cumulative NOx and hydrocarbon emissions while limiting visible smoke production and without compromising fuel economy or torque response. This is accomplished by using a supervisory model predictive controller (SMPC) and nonlinear

This article studies the parameter identification problem for bilinear state space models with time‐varying time delays. Considering the correlation of time delays, the Markov chain switching mechanism is adopted to model the delay sequence. Based on the observer canonical form, the bilinear state space model is transformed into a regressive form. A bilinear state observer is designed to estimate the

In this article, exponential bipartite synchronization in mth moment of random signed networks is studied. Different from previous work, both random disturbances and Markovian switching are considered into signed networks. It is worth emphasizing that the topological structure of signed networks depends on Markovian switching, and not all switching subnetworks are required to be strongly connected

In this article, a novel almost fast finite‐time adaptive tracking control scheme is proposed for a class of full‐state constrained pure‐feedback nonlinear systems based on barrier Lyapunov functions (BLFs). First, by employing the mean value theorem, the pure‐feedback systems are converted to the strict‐feedback structure with nonaffine terms. Then, by fusing adaptive backstepping technique and BLFs

This article deals with an improved scheme of tube‐based robust economic model predictive control (TEMPC). The controller is robust to unknown but bounded disturbances where guarantees recursive feasibility, robust stability, and convergence to the economically optimal operating point. Time‐varying economic criteria are considered in the stage cost function of the control design. Initial states of

The article studies possibilities to find realization of nonlinear retarded control system with constant commensurable delays, described by higher order input‐output equation, in a set of first‐order equations, which is in the so‐called feedforward form. Necessary and sufficient conditions are found for solvability of the problem when the realization is assumed to be strongly observable, that is, when

This article studies the distributed nonsmooth convex optimization problems for second‐order multiagent systems. The objective function is the summation of local cost functions which are convex but nonsmooth. Each agent only knows its local cost function, local constraint set, and neighbor information. By virtue of proximal operator and Lagrangian methods, novel continuous‐time distributed proximal‐gradient

In real‐world problems, uncertainties (eg, errors in the measurement, precision errors, among others) often lead to poor performance of numerical algorithms when not explicitly taken into account. This is also the case for control problems, where in the case of uncertainties, optimal solutions can degrade in quality or they can even become unfeasible. Thus, there is the need to design methods that

This article studies the parameter estimation problems of radial basis function‐based state‐dependent autoregressive models with autoregressive noises (RBF‐ARAR models). To reduce the effect of the colored noise to parameter estimation, the data filtering technique is applied and a filtering based generalized stochastic gradient algorithm is derived for the RBF‐ARAR models. In order to achieve more

This article addresses the leader‐follower consensus control of multiple uncertain strict‐feedback nonlinear systems subject to sensor and actuator attacks. The assumption on the simultaneity and uniformity of adversarial attacks in previous literature are no longer needed and a fully distributed adaptive control scheme is proposed, which does not depend on the original state information but on the

This article proposes relaxed sufficient bilinear matrix inequality (BMI) conditions to design a gain‐scheduling controller for nonlinear systems described by polytopic‐linear parameter varying (LPV) representations. The obtained conditions are derived based on a nonquadratic Lyapunov function and a parallel distributed compensator scheme. The controller design procedure involves some novel null terms

This article is devoted to global adaptive stabilization for a class of uncertain nonlinear systems. Notably, the systems under investigation admit unknown control directions and unknown input powers, and particularly the latter, which are a new type of system uncertainties, largely challenge the feasibility of continuous feedbacks. This spurs us to pursue a switching adaptive feedback which is actual

This article discusses the problem of global output feedback control for a class of uncertain nonlinear systems. Based on dynamic gain method and adding one power integrator, a new system design scheme is proposed to derive the adaptive output feedback controller such that the system state asymptotically converges to the origin. A numerical simulation and a practical example are presented to show the

In this article, the design problem of switching gain‐scheduled output‐feedback (SGSOF) controller with mixed performance exploiting inexact scheduling parameters for continuous‐time linear parameter‐varying (LPV) systems is tackled. The absolute and proportional uncertainties on the scheduling parameters are considered. All the system matrices of the LPV plant are supposed to have polynomial dependency

Fast and stable adaptation is necessary to achieve stringent tracking performance specifications in the face of large system uncertainties. This work develops a novel fast adaption architecture based on a high‐order optimization idea, where an approximated filter of weight is applied to smoothen and stabilize the estimation process. Larger learning rate can be selected to achieve fast adaption in that

In this article, the global finite‐time adaptive control problem is considered for high‐order nonlinear systems in the presence of unknown control coefficients, actuator fault, and external disturbance. Different from the previous results, a tune parameter is introduced to directly compensate the unknown control coefficients rather than the traditional Nussbaum‐gain function. Without requiring a priori

This article concentrates on the recursive identification algorithms for the exponential autoregressive model with moving average noise. Using the decomposition technique, we transform the original identification model into a linear and nonlinear subidentification model and derive a two‐stage least squares (LS) extended stochastic gradient (ESG) algorithm. In order to improve the parameter estimation

This paper considers the resilient interval consensus problems for continuous‐time time‐varying multi‐agent systems when a normal agent is surrounded by no more than r misbehaving agents. Each normal agent individually proposes a constraint interval which specifies their acceptable consensus range and misbehaving agents are anonymous and exert different arbitrary rules posing threats to the global

This article contributes to a detailed convergence analysis of iterative learning control for singular conformable differential equations with one‐sided Lipschitz nonlinearity. In order to track the desired reference trajectory in a finite time interval, a closed‐loop D‐type learning update law is proposed for such nonlinear systems. Here, the strict convergence analysis is derived under the condition

This article investigates the fast finite‐time adaptive tracking control via event‐triggered mechanism for a class of high‐order uncertain nonlinear systems. An adaptive tracking controller is constructed for the first time by utilizing a new fast finite‐time performance function and a serial of transformations equipped with a barrier function and event‐triggering rules, which guarantees that the tracking

In this note, the practical fixed‐time stability (PFTS) for discrete‐time impulsive switched nonlinear (DISN) systems is investigated. Firstly, the concept of PFTS is introduced for discrete‐time nonlinear (DN) systems, and two sufficient conditions are proposed to verify the PFTS of DN systems by using the positive‐order Lyapunov function. Then, the obtained results are extended to study the PFTS

In this article, a novel off‐policy cooperative game Q‐learning algorithm is proposed for achieving optimal tracking control of linear discrete‐time multiplayer systems suffering from exogenous dynamic disturbance. The key strategy, for the first time, is to integrate reinforcement learning, cooperative games with output regulation under the discrete‐time sampling framework for achieving data‐driven

This paper discusses the adaptive control problem for a class of nonlinear systems with polynomial growing conditions. By introducing a Lyapunov function which carries the quadratic terms and higher‐order terms of the transformed variables and constructing an appropriate dynamic gain, a new control strategy is presented to design an adaptive controller using only one parameter estimation. Compared

An event‐triggered observer‐based output feedback control issue together with triggered input is investigated for a class of uncertain nonlinear systems subject to unknown external disturbances. Two separate event‐triggered conditions are located on the measurement channel and control channel, respectively. An event‐triggered extended state observer (ETESO) is employed to estimate unmeasurable states

The bounded input bounded output (BIBO) stability for a nonlinear Caputo fractional system with time‐varying bounded delay and nonlinear output is studied. Utilizing the Razumikhin method, Lyapunov functions and appropriate fractional derivatives of Lyapunov functions some new bounded input bounded output stability criteria are derived. Also, explicit and independent on the initial time bounds of the

We consider the problem of global leader‐following consensus of a multi‐agent system with intermittent directed communication in the presence of actuator saturation. The dynamics of the follower agents are represented by a chain of integrators of an arbitrary length. The leader agent possesses the same internal dynamics of the follower agents. For each follower agent, a bounded consensus algorithm