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New Approach of Stabilization Based on New Lyapunov Function for Nonlinear Takagi–Sugeno Discrete-Time Uncertain Systems

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This paper examines the problem of designing a nonlinear state feedback controller (SFC) for Takagi–Sugeno discrete-time parametric uncertain systems via an iterative linear matrix inequalities (LMIs). The objective of this… Click to show full abstract

This paper examines the problem of designing a nonlinear state feedback controller (SFC) for Takagi–Sugeno discrete-time parametric uncertain systems via an iterative linear matrix inequalities (LMIs). The objective of this paper is to establish a novel framework of the SFC with conservatism reduction (less restrictive) results by introducing slack variables. These reduced conservative results are demonstrated by a larger feasible areas of stabilization (stabilization domain). Nevertheless, this paper shows that by changing the initial nonquadratic Lyapunov function, a better solution can be reached (less restrictive results). By using simulations, we verify the new condition robustness and a comparison with another approach existing in the literature to demonstrate the effectiveness of this new approach.

Keywords: sugeno discrete; stabilization; discrete time; uncertain systems; takagi sugeno; approach

Journal Title: Journal of Control, Automation and Electrical Systems
Year Published: 2017

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