Robust DR-admissibility of uncertain descriptor systems via LMI approach
نویسندگان
چکیده
This paper deals with the robust DR-admissibility of descriptor systems. The research for robustness bounds for descriptor systems is addressed. The use of parameter-dependent Lyapunov functions allows ones to handle uncertain singular systems whose uncertainty is polytopic norm-bounded (i.e. the state matrix can be written A+J∆L where A, J and L belong to a polytope of matrices and ∆ is unknown). If the 2-norm of ∆ is less than a robustness bound to be determined, the eigenvalues of any pencil (E,A + J∆L) in the uncertainty domain are clustered in an Ellipsoidal Matrix Inequality (EMI)-region. The proposed bound is easy to compute by using LMI tools.
منابع مشابه
A Linear Matrix Inequality (LMI) Approach to Robust Model Predictive Control (RMPC) Design in Nonlinear Uncertain Systems Subjected to Control Input Constraint
In this paper, a robust model predictive control (MPC) algorithm is addressed for nonlinear uncertain systems in presence of the control input constraint. For achieving this goal, firstly, the additive and polytopic uncertainties are formulated in the nonlinear uncertain systems. Then, the control policy can be demonstrated as a state feedback control law in order to minimize a given cost funct...
متن کاملOn Pole Placement in Lmi Region for Descriptor Linear Systems
The problem of robust D admissibility analysis and admissibilization is studied for uncertain descriptor linear systems. Two classes of uncertainties are considered in this paper, i.e., the norm bounded uncertainty and the polytopic uncertainty. With the introduction of some free matrices, a new necessary and sufficient condition for the considered descriptor linear system to be D admissible is...
متن کاملRobust State-Feedback Controller Design for Fuzzy Descriptor Markovian Jump Systems Based on An LMI Approach
This paper examines the problem of designing a robust H∞ state-feedback controller for a class of uncertain nonlinear descriptor Markovian jump systems described by a TakagiSugeno (TS) fuzzy model with Markovian jumps. Based on a linear matrix inequality (LMI) approach, LMI-based sufficient conditions for the uncertain nonlinear descriptor Markovian jump systems to have an H∞ performance are de...
متن کاملRobust fuzzy controller design for uncertain descriptor markovian jump systems
Abstract: This paper examines the problem of designing a robust H∞ state-feedback controller for a class of uncertain nonlinear descriptor Markovian jump systems described by a Takagi-Sugeno (TS) fuzzy model with Markovian jumps. Based on a linear matrix inequality (LMI) approach, LMI-based sufficient conditions for the uncertain nonlinear descriptor Markovian jump systems to have an H∞ perform...
متن کاملROBUST $H_{infty}$ CONTROL FOR T–S TIME-VARYING DELAY SYSTEMS WITH NORM BOUNDED UNCERTAINTY BASED ON LMI APPROACH
In this paper we consider the problem of delay-dependent robustH1 control for uncertain fuzzy systems with time-varying delay. The Takagi–Sugeno (T–S) fuzzy model is used to describe such systems. Time-delay isassumed to have lower and upper bounds. Based on the Lyapunov-Krasovskiifunctional method, a sufficient condition for the existence of a robust $H_{infty}$controller is obtained. The fuzz...
متن کامل