A unified fixed-time framework of adaptive fuzzy controller design for unmodeled dynamical systems with intermittent feedback

초록

Although conventional dynamic surface filters can eliminate the issue of complexity explo-sion in backstepping design, the convergence of filter errors significantly influences the overall control performance. This paper proposes a unified design framework of an event-triggered adaptive fuzzy design scheme with fixed-time performance for unmodeled strict-feedback nonlinear systems, where the tracking performance, filter error, and param-eter learning convergence are considered simultaneously. The unified framework guaran-tees the smoothness of all the closed-loop signals. A novel dynamic surface filter is designed to avoid the repeated differentiation of recursive virtual control while the filter error converges in fixed time. Compared with the conventional backstepping design, the proposed adaptive fuzzy controller design in this paper can guarantee fixed-time tracking performance. An event-triggered condition with intermittent feedback is developed to decrease the computational and communication burden. Two simulation examples are provided to validate the effectiveness of the unified fixed-time framework.(c) 2022 Elsevier Inc. All rights reserved.

키워드