4.8 Article Retracted Publication

被撤回的出版物: Fuzzy-Affine-Model-Based Memory Filter Design of Nonlinear Systems With Time-Varying Delay (Retracted Article)

Journal

IEEE TRANSACTIONS ON FUZZY SYSTEMS
Volume 26, Issue 2, Pages 504-517

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2017.2686352

Keywords

Memory filter; nonlinear systems; Takagi-Sugeno (T-S) fuzzy-affine systems; time-varying delay

Funding

  1. National Natural Science Foundation of China [61503091, 61522306]
  2. China Postdoctoral Science Foundation [2016T90270]
  3. State Key Laboratory of Robotics and Systems of Harbin Institute of Technology [SKLRS-2017-KF-02]

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This paper studies the piecewise-affine memory H-infinity filtering problem for nonlinear systems with time-varying delay in a delay-dependent framework. The nonlinear plant is characterized by a continuous-time Takagi-Sugeno fuzzy-affine model with parametric uncertainties. The purpose is to develop a new approach for filter synthesis procedure with less conservatism. Specifically, by constructing a novel Lyapunov-Krasovskii functional, together with a Wirtinger-based integral inequality, reciprocally convex inequality and S-procedure, an improved criterion is first attained for analyzing the H-infinity performance of the filtering error system, and then via some linearization techniques, the piecewise-affine memory filter synthesis is carried out. It is shown that the existence of desired filter gains can be explicitly determined by the solution of a convex optimization problem. Finally, simulation studies are presented to reveal the effectiveness and less conservatism of the developed approaches. It is anticipated that the proposed scheme can be further extended to the analysis and synthesis of continuous-time fuzzy-affine dynamic systems with integrated communication delays in the networked circumstance.

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