Observer synthesis method for Lipschitz nonlinear discrete-time systems with time-delay: An LMI approach
Introduction
The observer design problem for nonlinear time-delay systems becomes more and more a subject of tremendous research activities over the last decades [1], [2], [3], [4], [5], [6], [7], [8]. Indeed, time-delay is frequently encountered in various practical systems, such as chemical engineering systems, neural networks and population dynamic model. An overview of some recent advances and open research problems is summarized in [9]. One of the recent application of time-delay is the synchronization and information recovery in chaotic communication systems [10], [11]. In fact, the time-delay is added in a suitable way to the chaotic system in the goal to increase the complexity of the chaotic behavior and then to enhance the security of communication systems. On the other hand, contrary to nonlinear continuous-time systems, little attention has been paid toward the discrete-time case [12], [13]. In [12], the authors investigated the problem of robust observer design for a class of Lipschitz time-delay systems with uncertain parameters in the discrete-time case. Their method show the stability of the state of the system and the estimation error simultaneously.
This paper deals with observer design for a class of Lipschitz nonlinear discrete-time systems with time-delay. The main result lies, first, in the use of a new structure of the proposed observer inspired from [14], and on the other hand, in the use of a novel Lyapunov–Krasovskii functional which depends on the nonlinear term of the considered system. New synthesis conditions are obtained. These conditions, expressed in terms of LMIs, contain more degree of freedom than those proposed by the approaches available in the literature. Indeed, these last use a simple Luenberger observer and a classical Lyapunov–Krasovskii functional, which can be derived from the general forms proposed in this paper by neglecting some matrices. An extension of the presented result to performance analysis is given in the goal to take into account the noise which affects the considered system. A more general LMI is established.
The rest of this paper is arranged as follows. In Section 2, we introduce the class of systems under consideration, the proposed observer and new sufficient synthesis conditions (LMIs conditions). In Section 3, we give an extension of the presented result to performance analysis. Section 4 concludes the proposed work. Finally, we consider an appendix to detail some concepts.
Notations: The following notations will be used throughout this paper.
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∥ · ∥ is the usual Euclidean norm;
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(★) is used for the blocks induced by symmetry;
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AT represents the transposed matrix of A;
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Ir represents the identity matrix of dimension r;
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for a square matrix S, S > 0(S < 0) means that this matrix is positive definite (negative definite);
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zt(k) represents the vector x(k − t) for all z;
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The notation is the ℓ2 norm of the vector . The set is defined by
In the next section, we introduce the class of systems to be studied, the proposed observer and the synthesis condition ensuring the asymptotic convergence of the observer.
Section snippets
Problem formulation and observer synthesis conditions
In this section, we introduce the class of nonlinear systems to be studied, the proposed state observer and the observer synthesis conditions.
Extension to performance analysis
In this section, we propose an extension of the previous result to robust observer design problem. In this case, we give an observer synthesis method which takes into account the noises affecting the system.
Consider the disturbed system described by the equations:where is the vector of bounded disturbances. The matrices Eω and Dω are constants with appropriate dimensions.
The corresponding observer
Conclusion
In this paper, we investigated the problem of observer design for a class of Lipschitz nonlinear time-delay systems in the discrete-time case. A new structure of the observer and a novel Lyapunov–Krasovskii functional are proposed in the goal to obtain less restrictive synthesis conditions. Indeed, the obtained synthesis conditions, expressed in terms of LMIs, contain more degree of freedom because of the new structure of the proposed observer and the additive nonlinear part in the Lyapunov
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