Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4944131 | Information Sciences | 2018 | 12 Pages |
Abstract
This brief paper is concerned with the problem of observer-based Hâ control for nonlinear systems presented by T-S (Takagi-Sugeno) fuzzy models. The aim is to reduce the conservatism of finding a smaller Hâ performance index by applying the non-quadratic Lyapunov function. The one-step LMIs (Linear Matrix Inequalities) method is applied to design the controller gains and observer gains. In addition, the initial positions of the observer states are also discussed and an optimization problem is solved to obtain new stable region. In the end, three examples are given to demonstrate the effectiveness of the proposed approach.
Related Topics
Physical Sciences and Engineering
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Authors
Likui Wang, Xiaodong Liu, Huaguang Zhang,