期刊
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
卷 46, 期 12, 页码 2134-2149出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2013.854941
关键词
fuzzy control; non-monotonic Lyapunov function; robust H-2 control; parametric uncertainty; linear matrix inequality (LMI); discrete-time nonlinear systems; state observer
A non-monotonic Lyapunov function (NMLF) is deployed to design a robust H-2 fuzzy observer-based control problem for discrete-time nonlinear systems in the presence of parametric uncertainties. The uncertain nonlinear system is presented as a Takagi and Sugeno (T-S) fuzzy model with norm-bounded uncertainties. The states of the fuzzy system are estimated by a fuzzy observer and the control design is established based on a parallel distributed compensation scheme. In order to derive a sufficient condition to establish the global asymptotic stability of the proposed closed-loop fuzzy system, an NMLF is adopted and an upper bound on the quadratic cost function is provided. The existence of a robust H-2 fuzzy observer-based controller is expressed as a sufficient condition in the form of linear matrix inequalities (LMIs) and a sub-optimal fuzzy observer-based controller in the sense of cost bound minimization is obtained by utilising the aforementioned LMI optimisation techniques. Finally, the effectiveness of the proposed scheme is shown through an example.
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