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Robust Exponential Stability and Stabilization of a Class of Nonlinear Stochastic Time‐Delay Systems
Author(s) -
Li Yanjiang,
Zhang Xian,
Yuan Meng
Publication year - 2013
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.645
Subject(s) - nonlinear system , linearization , control theory (sociology) , exponential stability , mathematics , interval (graph theory) , stability (learning theory) , weighting , feedback linearization , exponential function , mathematical optimization , computer science , control (management) , medicine , physics , quantum mechanics , artificial intelligence , combinatorics , machine learning , radiology , mathematical analysis
This paper presents new exponential stability and delayed‐state‐feedback stabilization criteria for a class of nonlinear uncertain stochastic time‐delay systems. By choosing the delay fraction number as two, applying the Jensen inequality to every sub‐interval of the time delay interval and avoiding using any free weighting matrix, the method proposed can reduce the computational complexity and conservativeness of results. Based on L yapunov stability theory, exponential stability and delayed‐state‐feedback stabilization conditions of nonlinear uncertain stochastic systems with the state delay are obtained. In the sequence, the delayed‐state‐feedback stabilization problem for a nonlinear uncertain stochastic time‐delay system is investigated and some sufficient conditions are given in the form of nonlinear inequalities. In order to solve the nonlinear problem, a cone complementarity linearization algorithm is offered. Mathematical and/or numerical comparisons between the proposed method and existing ones are demonstrated, which show the effectiveness and less conservativeness of the proposed method.