Delay-dependent robust stability and L2-gain analysis of a class of nonlinear time-delay systems (original) (raw)

Delay-dependent robust stability and -gain analysis of a class of nonlinear time-delay systems

Automatica, 2008

A convex approach to robust regional stability analysis of a class of nonlinear state-delayed systems subject to convex-bounded parameter uncertainty is proposed. Delay-dependent conditions are developed to ensure system robust local stability and obtain an estimate of a domain of attraction of the origin inside a given polytopic region of the state-space. This approach is then extended to provide a delay-dependent solution to the problem of L 2-gain analysis. The proposed approach is based on a Lyapunov-Krasovskii functional with polynomial dependence on the system state and uncertain parameters and is formulated in terms of linear matrix inequalities. Numerical examples illustrate the potentials of the derived results.

Delay-Dependent Regional Stability of a Class of Uncertain Nonlinear State-Delayed Systems

Proceedings of the 17th IFAC World Congress, 2008, 2008

This paper proposes a convex approach to regional stability analysis of a class of nonlinear state-delayed systems subject to convex-bounded parameter uncertainty. Delay-dependent conditions are developed to ensure the system robust local stability and obtain an estimate of a domain of attraction of the origin inside a given polytopic region of the state-space. The proposed approach is based on a Lyapunov-Krasovskii functional with polynomial dependence on the system state and uncertain parameters and is formulated in terms of linear matrix inequalities. Numerical examples illustrate the potentials of the derived results.

Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties

IEEE Transactions on Automatic Control, 2004

This paper concerns the problem of the robust stability of a linear system with a time-varying delay and polytopictype uncertainties. In order to construct a parameter-dependent Lyapunov functional for the system, we first devised a new method of dealing with a time-delay system without uncertainties. In this method, the derivative terms of the state, which is in the derivative of the Lyapunov functional, are retained and some free weighting matrices are used to express the relationships among the system variables, and among the terms in the Leibniz-Newton formula. As a result, the Lyapunov matrices are not involved in any product terms of the system matrices in the derivative of the Lyapunov functional. This method is then easily extended to a system with polytopic-type uncertainties. Numerical examples demonstrate the validity of the proposed criteria.

Robust stability of nonlinear time-delay systems with interval time-varying delay

International Journal of Robust and Nonlinear Control, 2011

This paper deals with the problem of obtaining delay-dependent stability conditions and L 2 -gain analysis for a class of nonlinear time-delay systems with norm-bounded and possibly time-varying uncertainties. No restrictions on the derivative of the time-varying delay are imposed, though lower and upper bounds of the delay interval are assumed to be known. A Lyapunov-Krasovskii functional approach is proposed to derive novel delay-dependent stability conditions which are expressed in terms of linear matrix inequalities (LMIs). To reduce conservatism, the work exploits the idea of splitting the delay interval in multiple regions, so that specific conditions can be imposed to a unique functional in the different regions. This improves the computed bounds for certain delay-dependent integral terms, providing less conservative LMI conditions. Examples are provided to demonstrate the reduced conservatism with respect to the available results in the literature.

Delay-dependent robust stability for stochastic time-delay systems with polytopic uncertainties

International Journal of Robust and Nonlinear Control, 2008

This paper considers a delay-dependent and parameter-dependent robust stability criterion for stochastic time-delay systems with polytopic uncertainties. The delay-dependent robust stability criterion, as expressed in terms of linear matrix inequalities (LMIs), is obtained by using parameter-dependent Lyapunov functions. It is shown that the result derived by a parameter-dependent Lyapunov functional is less conservative. Numerical examples are provided to illustrate the effectiveness of the proposed method.

Robust stability criteria for uncertain systems with delay and its derivative varying within intervals

Proceedings of the 2011 American Control Conference, 2011

In this paper, stability criteria are proposed for linear systems liable to model uncertainties and with the delay and its derivative varying within intervals. The results are an improvement over previous ones due to the development of a new Lyapunov-Krasovskii functional (LKF). The analysis incorporates recent advances such as convex optimization technique and piecewise analysis method with new delay-intervaldepedent LKFs terms and a novel auxiliary delayed state. Stability conditions are provided for the cases when the delay derivative is upper and lower bounded, when the lower bound is unknown, and when no restrictions are cast upon the derivative. The analysis is enriched with numerical examples that illustrate the effectiveness of our criteria which outperform previous criteria in the literature for nominal and uncertain delayed systems.

Parameter dependent stability and stabilization of uncertain time-delay systems

IEEE Transactions on Automatic Control, 2003

A new robust delay dependent stability test is introduced that determines the asymptotic stability of linear systems with state delays. The parameters of the system are not exactly given. They are known to reside in a given polytope. The test provides an efficient sufficient condition for the stability of the system over the uncertainty polytope. This condition is parameter dependent and it therefore improves previous results that were derived using a single Lyapunov-Krasovskii functional. The stability test is readily extended to provide a criterion for robust stabilization via statefeedback.

Regional Stabilization of Input-Delayed Uncertain Nonlinear Polynomial Systems

IEEE Transactions on Automatic Control

This paper addresses the problem of local stabilization of nonlinear polynomial control systems subject to time-varying input delay and polytopic parameter uncertainty. A linear matrix inequality approach based on the Lyapunov-Krasovskii theory is proposed for designing a nonlinear polynomial state feedback controller ensuring the robust local uniform asymptotic stability of the system origin along with an estimate of its region of attraction. Two convex optimization procedures are presented to compute a stabilizing controller ensuring either a maximized set of admissible initial states for given upper bounds on the delay and its variation rate or a maximized lower bound on the maximum admissible input delay considering a given set of admissible initial states. Numerical examples demonstrate the potentials of the proposed stabilization approach.

Robust stabilization of nonlinear time delay systems using convex optimization

2005

Abstract We address the problem of robust, global, delay-dependent and delay-independent stabilization of nonlinear time-delay systems with memory state feedback. The methodology we use is based on a linear-like representation of the time-delay system for which we construct appropriate Lyapunov-Krasovskii functionals. The resulting conditions take the form of infinite-dimensional state-dependent Linear Matrix Inequalities which can be treated as sum of squares matrices.