Self-Learning Takagi-Sugeno Fuzzy Control With Application to Semicar Active Suspension Model

In this article, we investigate the optimal control problem for semicar active suspension systems (SCASSs). First, we model the SCASSs by Newtonian dynamics as well as considering the uncertainties and nonlinear dynamics of the actuator. Second, in order to solve the complexity brought by uncertaint...

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Veröffentlicht in:	IEEE transactions on fuzzy systems 2024-01, Vol.32 (1), p.64-74
Hauptverfasser:	Fang, Haiyang, Tu, Yidong, He, Shuping, Wang, Hai, Sun, Changyin, Cheng, Shing Shin
Format:	Artikel
Sprache:	eng
Schlagworte:	Active control Actuators Algorithms Automobiles Dynamical systems Frequency modulation Fuzzy control Machine learning Mathematical models Nonlinear dynamical systems Nonlinear dynamics Optimal control reinforcement learning (RL) Riccati equation self-learning semicar active suspension Suspension systems Uncertainty Wheels zero-sum game
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