Intelligent modeling and control for nonlinear systems with rate-dependent hysteresis

• Published in: Science China. Information sciences Vol. 52; no. 4; pp. 656 - 673
• Main Authors: Mao, JianQin, Ding, HaiShan
• Format: Journal Article
• Language: English
• Published: Heidelberg SP Science in China Press 01.04.2009; Springer Nature B.V
• Subjects: Actuators; Adaptive control; Algorithms; Computer Science; Computer simulation; Controllers; Hysteresis; Information Systems and Communication Service; Learning; Magnetic properties; Magnetostriction; Modelling; Neural networks; Nonlinear control; Nonlinear systems; 控制器参数; 智能建模; 模糊树模型; 滞后非线性; 直接逆控制; 超磁致伸缩驱动器; 非线性系统; 频率依赖性; nonlinear systems with rate-dependent hysteresis; intelligent modeling and control; T-S fuzzy model; fuzzy tree model; adaptive inverse control

A new modeling approach for nonlinear systems with rate-dependent hysteresis is proposed. The approach is used for the modeling of the giant magnetostrictive actuator, which has the rate-dependent nonlinear property. The models built are simpler than the existed approaches. Compared with the experim...