Observer-based adaptive dynamic surface control of time-delayed non-strict systems with input nonlinearities
Journal of the Franklin Institute
This paper proposes an adaptive dynamic surface controller for uncertain time-delay non-strict nonlinear systems with unknown control direction and unknown dead zone. To this end, the problem of uncertainty in nonlinear terms of the overall system is managed such that the estimation of these terms is obtained by applying a fuzzy logic, which is established based on an adaptive approach. A particular observer is then designed to approximate the immeasurable states. Furthermore, to overcome the delay issue in the system, the Lyapunov Krasovskii functional is used to achieve design conditions for dynamic surface control. Moreover, the breach of the output in the system is addressed by employing a Barrier Lyapunov Function. Then, with the aim of the designed controller, the stability of the closed-loop system is ensured such that all states are limited, and the errors are semi-globally uniformly ultimately bounded (SGUUB). Finally, as an illustration of the effectiveness of the proposed controller, a practical simulation is provided.
Shojaei, Fatemeh; Zarei, Jafar; and Saif, Mehrdad. (2023). Observer-based adaptive dynamic surface control of time-delayed non-strict systems with input nonlinearities. Journal of the Franklin Institute, 360 (9), 6490-6514.