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Robust adaptive control of bilinear plants with high-order perturbation uncertainties.
| Content Provider | CiteSeerX |
|---|---|
| Author | Gao, Furong Shao, Cheng Wang, Fuli Wang, Wei |
| Abstract | : The robust adaptive control issue is considered for a class of bilinear plants with uncertainties of highorder unmodelled dynamics and bounded disturbances. The generalized minimum variance control strategy is first employed to give a basic optimal control law, followed by modification of introducing the modelling error estimate to the control law. Modified least-squares scheme with a relative dead zone is developed to work with the control law to form a novel robust adaptive control algorithm, without much priori knowledge of the plant. The resulting closed loop system is proven theoretically to be robustly stable to high-order unmodelled dynamics and bounded disturbances. Keywords: robust adaptive control, bilinear system, unmodelled dynamics 1. Introduction Attempts to invent, design and build systems capable of controlling unknown plants or adapting to unpredictable changes in the environment resulted in the emergence of adaptive control in the 1950's, and since then adaptive ... |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Bilinear Plant Robust Adaptive Control High-order Perturbation Uncertainty Unmodelled Dynamic Control Law Unpredictable Change Relative Dead Zone Least-squares Scheme Error Estimate Bilinear System Adaptive Control Basic Optimal Control Law Generalized Minimum Variance Control Strategy Build System Robust Adaptive Control Issue Highorder Unmodelled Dynamic Loop System Introduction Attempt Unknown Plant Novel Robust Adaptive Control Algorithm |
| Content Type | Text |
