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Robust control of delay systems: a sliding mode control design via LMI

TLDR
A sliding mode controller is designed for systems with multiple state delays and submitted to additive pertubations by using Liapunov-Krasovskii functionals and solving a convex minimisation problem expressed in terms of LMIs.
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This article is published in Systems & Control Letters.The article was published on 2002-07-23 and is currently open access. It has received 163 citations till now. The article focuses on the topics: Sliding mode control & Robust control.

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Citations
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Journal ArticleDOI

Time-delay systems: an overview of some recent advances and open problems

TL;DR: Some open problems are discussed: the constructive use of the delayed inputs, the digital implementation of distributed delays, the control via the delay, and the handling of information related to the delay value.
Journal ArticleDOI

Design of sliding mode controller for a class of fractional-order chaotic systems

TL;DR: A sliding mode control law is designed to control chaos in a class of fractional-order chaotic systems and effectiveness of the proposed control scheme is illustrated through numerical simulations.
Journal ArticleDOI

Observer-based sliding mode control for nonlinear state-delayed systems

TL;DR: It is shown that the proposed control scheme ensures the reachability of the sliding surfaces in both the state estimate space and the estimation error space.
Journal ArticleDOI

Stabilization of uncertain fuzzy time-delay systems via variable structure control approach

TL;DR: The contribution of this paper consists of various control schemes proposed for the VSC design and the present results are in terms of linear matrix inequalities (LMIs).
Journal ArticleDOI

Robust observer design for Itô stochastic time-delay systems via sliding mode control

TL;DR: It is shown that the sliding mode in the estimation space can be attained in finite time and the sufficient condition for the asymptotic stability (in probability) of the overall closed-loop stochastic system is derived.
References
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Book

Linear Matrix Inequalities in System and Control Theory

Edwin E. Yaz
TL;DR: In this paper, the authors present a brief history of LMIs in control theory and discuss some of the standard problems involved in LMIs, such as linear matrix inequalities, linear differential inequalities, and matrix problems with analytic solutions.
Book

Sliding Modes in Control and Optimization

TL;DR: The theory and practical application of Lyapunov's Theorem, a method for the Study of Non-linear High-Gain Systems, are studied.
Book

Introduction to the Theory and Applications of Functional Differential Equations

TL;DR: Theoretical background of functional differential equation models is described in this article, where boundary value problems and Periodic Solutions of Differential Equations (PSE) problems are discussed.
Related Papers (5)
Frequently Asked Questions (14)
Q1. What are the contributions mentioned in the paper "Robust control of delay systems: a sliding mode control design via lmi" ?

This paper considers the sliding mode control of uncertain systems with single or multiple, constant or time-varying state-delays, submitted to additive perturbations. The conditions for the existence of the sliding regime are studied by using LyapunovKrasovskii functionals and Lyapunov-Razumikhin functions. 

For instance, an appropriate sliding mode strategy can achieve stabilization by “dominating” nonlinear terms and additive disturbances, provided some appropriate “matching conditions” hold (roughly speaking, the disturbances must belong to the space spanned by the input function). 

The results concerning robustness with respect to external disturbances rely on either H∞ design (see [20,26] and references therein), also leading to Riccati equations and LMIs, or structural approaches, such as disturbance decoupling using models over rings (see [7,8,29] and references therein). 

The present paper considers uncertain systems with single / multiple, constant or time-varying state-delays and additive perturbations which may be nonvanishing. 

Time delays commonly occur in many dynamical systems and are a source of instability and poor performances even in a linear model [28]. 

It aims at designing the sliding surface in such a way that the calculable set of admissible delays is maximized where “admissible” means here those that don’t destabilize the closed-loop, relay-delay system. 

By using semi-definite programming, the authors find that the system (6.1) with control (4.1) is asymptotically stable for all constant delays h < 0.99. 

By post- and pre-multiplying by S, and fixing S = (B̃T XB̃), N < 0 becomes:SZT +ZS+hα−1Âd11Â11SÂ T 11Â T d11+qh(α+β)S+hβ −1Â2d11SÂ 2T d11 < 0. (5.14)Let us assume that (5.4) and (5.5) hold. 

the combination of delay phenomenon with relay actuators makes the situation much more complex (see for instance [12] and the survey paper [31]) : designing a sliding controller without taking delays into account may lead to unstable or chaotic behaviors or, at least, results in highly chattering behaviors [9,12]. 

The contribution of this paper lays on the following, original points:- Concerning the design of linear sliding surface, the extension of the method [6] to the case of a delay-dependent stabilization (then, conditions are less conservative). 

Varying delay: Now, if the authors don’t restrict to constant delays, then according to Theorem 5, the system is asymptotically stabilized by the control law (5.1) for h(t) < 0.51 which is of course more constraining. 

Theorem 2 Under assumptions (A1)− (A2)− (A3), the control (4.1) makes the surface s(x) = 0 stable and globally attractive in finite time. 

Let us choose the following sliding surface, based on some matrix X to be chosen later (via some optimization):s(x) = Sx = BT X−1x = 0,where S ∈ R(m)×n. 

The reduced system is proven to be asymptotically stable for any value of the delay less than a bound which is obtained by solving a convex optimization problem.