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An adaptive dynamic surface control scheme is designed to achieve output tracking for a class of nonlinear output feedback system with uncertain actuator failure pattern, value and time instants. State observer is used to estimate unavailable plant states. Detailed stability analysis is carried out to prove the uniform ultimate boundedness of all closed-loop system signals.
Three kinds of approximators are widely used in adaptive controllers for the nonlinear systems with uncertainty. They are neural network, fuzzy logic systems and wavelet approximator, respectively. By unifying these three approximators, we developed an on-line approximation based controller for a class of uncertain nonlinear systems. It is proved that with the proposed control law and update laws,...
A gradient flow algorithm model developed for the on-line robust pole assignment is proposed for solving Sylvester equations. The algorithm shows to be capable of synthesizing linear feedback control systems via on-line computing feedback gain matrix and desired closed-loop poles. Meanwhile, the close-loop system matrix is least sensitive to perturbation or uncertainty, and uniformly asymptotically...
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