Abstract
This paper develops a new solution framework with detailed system modeling, and control design, analysis and evaluation, for adaptive control of discrete-time input-output multiple-delay T-S fuzzy systems with unknown parameters and uncertain actuator failures. A multiple-delay prediction fuzzy system model is derived and its minimum phase property is clarified. Based on a model-based approach, the design and analysis are presented for an adaptive control scheme for multiple-delay T-S fuzzy systems, and an adaptive actuator failure compensation for systems with redundant actuators subject to uncertain failures, for which new system parametrizations and controller structures are developed. Illustrative examples and simulation results are presented to demonstrate the studied new concepts and to verify the desired performance of the new types of adaptive fuzzy control systems.
Published Version
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