1. Adaptive Fuzzy Tracking Control for a Class of Singular Systems via Output Feedback Scheme
- Author
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Jinpeng Yu, Hak-Keung Lam, and Jian Chen
- Subjects
output feedback ,Observer (quantum physics) ,Computer science ,adaptive fuzzy control ,Singular system ,Applied Mathematics ,nonlinear system ,Lipschitz continuity ,Fuzzy logic ,Nonlinear system ,Computational Theory and Mathematics ,Artificial Intelligence ,Control and Systems Engineering ,Control theory ,Bounded function ,State observer ,Differential (infinitesimal) - Abstract
The problem of adaptive fuzzy observer-based tracking control for nonlinear singular systems is considered in this paper. The nonlinear singular systems are composed of two kinds of subsystems, being called the differential subsystem and algebraic subsystem, which are coupled with each other. The systems can be non-strict feedback structures. Through designing a new state observer and a linear controller, an error system with a tunable parameter is obtained. By constructing new one-sided Lipschitz conditions, the regularization and impulse-free conditions are proposed for the error system. With the help of the tunable parameter in the observer, we design an output feedback controller for the nonlinear singular systems to ensure that all states of the closed-loop system are bounded and the tracking and observer errors remain in a neighborhood of the origin. Two examples are provided to illustrate the effectiveness of the presented method.
- Published
- 2022
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