Details

Autor(en) / Beteiligte

• Jiang, Chenyang
• Tong, Shao-cheng
• Dai, Wei

Titel

Fuzzy adaptive event-triggered output feedback control of electro-hydraulic system

Ist Teil von

• Neural computing & applications, 2023-07, Vol.35 (20), p.14885-14896

Ort / Verlag

London: Springer London

Erscheinungsjahr

2023

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• This article considers a fuzzy adaptive event-triggered control design problem for electro-hydraulic systems. The addressed electro-hydraulic system contains immeasurable states and unknown nonlinear dynamics. Fuzzy logic systems (FLSs) are utilized to model the controlled electro-hydraulic system, and a state observer is formulated to get the estimations of the immeasurable states. Subsequently, a novel event-triggered strategy is introduced by using first-order filter technique, which can reduce the frequent updating of the voltage input. Then, by constructing composite Lyapunov functions, an observer-based fuzzy adaptive event-triggered control method is presented. The stability of the controlled electro-hydraulic system and the convergence of the tracking error are proved. Finally, the computer-simulated studies confirm the effectiveness of the presented control method.