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This paper investigates the generalized nonlinear resilient H∞ filter design problem for discrete-time systems with uncertain and nonlinear parameters. The uncertain parameters are assumed to have norm-bounded form and the nonlinear parameters are assumed to have Lipschitz form. We aim to design a generalized nonlinear resilient H∞ filter such that the stability and the H∞ performance of filtering...
This paper is concerned with the problem of stabilization and tracking for a class of underactuated systems subjected to external disturbances. Based on the mathematical model of a 4 degrees of freedom (4DOF) ball and plate system, a robust backstepping controller with disturbance rejection is developed. The proposed controller is capable of handling bounded uncertainties with unknown periodicity...
In this paper, a power system model is proposed to achieve a decentralized voltage control scheme. A stabilizing controller design is presented to solve the voltage regulation problem with output feedback. The model is intended to be an exact representation of frequency and terminal voltage, which will allow us to cope with time-varying parameter uncertainties, and also unknown design parameters of...
This paper deals with a design problem of variable gain robust model following/tracking control for a class of uncertain linear systems. The new proposed variable gain robust control system is composed of fixed gain controllers and variable ones. In this paper, LMI-based sufficient conditions for the existence of the proposed variable gain robust controller are given. Finally, a simple numerical example...
A novel actuator fault reconstruction scheme based on neural network and adaptive sliding mode observer is presented for a class of nonlinear systems with uncertainty. To improve the accuracy of actuator fault reconstruction, the radial basis function neural network is applied to approximate the uncertainty on line. An adaptive algorithm is designed to modify the gain of the controller by considering...
In this paper, we propose a control model based on NCS theory to solve the vehicle-following problem, which presents both issues: the difficulty in the identification process and a lossy network. To deal with network losses, we use a mode dependent Markov jump linear filter coupled with a statefeedback controller. To handle parameter uncertainty, a polytopic representation of the car model is presented...
This paper considers the stabilization problem of nonlinear stochastic Hamiltonian systems with input time-varying delay. The systems under consideration are also subject to some small parameter perturbations in which are unavoidably involved. The dissipative structural properties of the Hamiltonian systems are fully considered and an observer-based adaptive controller are proposed to guarantee robustly...
The decentralized robust H-infinity and model predictive control problem for interconnected singular large-scale systems with uncertainty in states and control matrices is considered. Based on the bounded real lemma of singular systems, a sufficient condition for the existence of decentralized robust H-infinity and model predictive controller for uncertain singular large-scale systems is presented...
This paper investigates the receding horizon H∞ guaranteed cost control for a class of norm-bounded uncertain systems subject to actuator saturation. A sufficient condition for the existence of the controller is proposed to handle the amplitudes of control input signals and guarantee both of the H∞ norm and quadratic cost performance for all admissible uncertainties and external disturbances. Furthermore,...
This paper concerns disturbance rejection for a repetitive-control system (RCS) with unknown time-varying uncertainties and nonlinearity. The design of the RCS is based on the concept of equivalent input disturbance (EID). First, an EID estimator is constructed through a state observer with dynamic coefficient matrix that effectively estimates the total effect of the uncertainties and nonlinearity...
In this paper, the sliding mode control problem of the networked control system subject to packet loss is investigated. Sensors' measuring data from the plant to the controller is transmitted via network and packet loss may happen due to the variance of the transmission environment. The Bernoulli distribution model is used to describe the packet loss and a new integral sliding surface is proposed...
In this paper, the distributed h∞ composite-rotating consensus problem is concerned for a class of second-order multi-agent systems. Firstly, based on local state feedback and communication feedback, a distributed control algorithm is proposed. Then, sufficient conditions are derived in order to make all agents reach a composite-rotating consensus with the desired h∞ performance. Finally, the simulations...
This paper aims to study the robust nonfragile H∞ controller design problem for a class of uncertain discrete-time nonlinear singular systems. A Takagi-Sugeno (T-S) fuzzy singular model with norm-bounded uncertainties is employed to represent a nonlinear plant. Basing on observers for the fuzzy model, we can construct a fuzzy controller with uncertainties existing in the implementation process. A...
This paper investigates the distributed finite-time tracking consensus problem of Networked Euler-Lagrange (EL) Systems with uncertainties. Based on the homogeneous finite-time control algorithm, the discontinuous and continuous super-twisting protocols upon integral sliding mode algorithm are respectively developed to achieve finite-time tracking consensus of Networked EL Systems in spite of the...
The problem of the state tracking over a finite-time interval is concerned in this paper. Based on the average dwell-time method, both matched and unmatched cases are considered in the system. To make the state tracking error is finite-time bounded and the considered system achieves a weighted H∞ performance for the exogenous disturbance, the switching law is designed by the states error. Sufficient...
This paper investigates a low-complexity prescribed performance control approach for combined spacecraft with an unknown captured object in the presence of external disturbance. First, a prescribed performance function with appropriate parameters is selected for the filtered state variables involving the attitude and angular velocity. Then, a low-complexity robust prescribed performance controller...
This paper focuses on the H−/H∞ fault detection observer design issue in the finite frequency domain for a class of uncertain descriptor systems. To detect faults effectively for systems with model uncertainties and in the presence of unknown disturbances, a new fault detection filter is designed to satisfy a finite frequency H−/H∞ performance index simultaneously. First, two basic performance analysis...
In this paper, we consider the robust sliding mode control problem for a class of systems with norm bounded parametric uncertainty and external disturbance. Based on Lyapunov stability theory and linear matrix inequality approach, the proposed control scheme can achieve both asymptotic stability and some robust performances, and the corresponding robust controller that assures the occurrence of sliding...
In this article, we discuss the delay-dependent stochastic stability problem of nonlinear systems with Markovian jumping parameters. Provides a numerical example to verify the efficiency of this method.
A class of linearly parameterized multiagent systems with unknown parameters and unknown control gain are investigated in this paper. An adaptive algorithm is implemented for such multiagent systems to obtain consensus. In most previous cases, consensus approaches usually induce uniformly ultimately bounded consensus error because of the uncertainties existing in the system dynamics. By contrast,...
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