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What is Lyapunov’s (Second) Approach

Handbook of Research on Advanced Intelligent Control Engineering and Automation
The method of stability assessment that relies on the use of energy-like functions without resorting to direct solution of the associated evolution equations.
Published in Chapter:
Fuzzy Adaptive Controller for Uncertain Multivariable Nonlinear Systems with Both Sector Nonlinearities and Dead-Zones
Abdesselem Boulkroune (University of Jijel, Algeria)
DOI: 10.4018/978-1-4666-7248-2.ch012
Abstract
This chapter presents two fuzzy adaptive variable structure controllers for a class of uncertain multi-input multi-output nonlinear systems with actuator nonlinearities (i.e. with sector nonlinearities and dead-zones). The design of the first controller concerns systems with symmetric and positive definite control-gain matrix, while the design of the second one is extended to the case of non-symmetric control-gain matrix thanks to an appropriate matrix decomposition, namely the product of a symmetric positive-definite matrix, a diagonal matrix with diagonal entries +1 or -1, and a unity upper triangular matrix. An appropriate adaptive fuzzy-logic system is used to reasonably approximate the uncertain functions. A Lyapunov approach is adopted to derive the parameter adaptation laws and prove the stability of the closed-loop control system. Finally, some simulation results are carried out to show the effectiveness of the proposed controllers.
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