Event-based fuzzy adaptive decentralised asymptotic tracking control for large-scale fractional-order nonlinear systems with strong interconnections

An adaptive fuzzy event-triggered asymptotic tracking control scheme is investigated for large-scale fractional-order nonlinear systems with unknown strong interconnections in this article. First, intelligent estimation technologies are employed to deal with interconnection terms and unknown nonlinear functions, which can largely relax some additional assumptions regarding the interconnections and eliminate the impacts of uncertainties. Second, by introducing dynamic surface control technology, the problem of 'explosion of complexity' is solved. Moreover, a novel event-triggered mechanism is proposed to save communication resources. The system stability and the asymptotic tracking performance are proved by utilising fractional Lyapunov function theory. Finally, a simulation example verifies the effectiveness of the proposed control method.