4.4 Article

Robust Stability Analysis of Takagi-Sugeno Fuzzy Nonlinear Singular Systems with Time-Varying Delays Using Delay Decomposition Approach

Journal

CIRCUITS SYSTEMS AND SIGNAL PROCESSING
Volume 35, Issue 3, Pages 791-809

Publisher

SPRINGER BIRKHAUSER
DOI: 10.1007/s00034-015-0096-3

Keywords

Takagi-Sugeno fuzzy model; Nonlinear singular systems; Time-varying delay; Linear matrix inequality; Delay decomposition approach

Funding

  1. National Board for Higher Mathematics, Department of Atomic Energy, Mumbai [2/48(8)/2010/RD-II/11191]

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This paper investigates the problem of robust stability analysis for Takagi-Sugeno fuzzy nonlinear singular systems with time-varying delays. The nonlinear functions are assumed to satisfy the Lipschitz conditions. By constructing Lyapunov-Krasovskii functional with different weighted matrices, sufficient delay-dependent asymptotic stability conditions are expressed in terms of linear matrix inequalities. Further, delay decomposition approach is used to derive less conservative results. The effectiveness of the derived theoretical result is shown through numerical examples.

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