title: Adaptive dynamic surface control for uncertain nonlinear systems with interval type-2 fuzzy neural networks.
abstract: This paper presents a new robust adaptive control method for a class of nonlinear systems subject to uncertainties. The proposed approach is based on an adaptive dynamic surface control, where the system uncertainties are approximately modeled by interval type-2 fuzzy neural networks. In this paper, the robust stability of the closed-loop system is guaranteed by the Lyapunov theorem, and all error signals are shown to be uniformly ultimately bounded. In addition to simulations, the proposed method is applied to a real ball-and-beam system for performance evaluations. To highlight the system robustness, different initial settings of ball-and-beam parameters are considered. Simulation and experimental results indicate that the proposed control scheme has superior responses, compared to conventional dynamic surface control.
authors.forename: Yeong-Hwa
authors.initials: YH
authors.lastname: Chang
authors.forename: Wei-Shou
authors.initials: WS
authors.lastname: Chan
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D017143:Fuzzy Logic; D015233:Models, Statistical; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics