Adaptive Critic Optimal Fuzzy Control for Quarter-Car Suspension Systems

摘要

For quarter car suspension systems with uncertain mass, first Takagi-Sugeno fuzzy model is constructed by using sector nonlinear. Based on adaptive critic technology and zero-sum game theory, an online adaptive fuzzy optimal control method is studied. A critic fuzzy logic system is given to approximate the solution of the Hamilton-Jacobi-Isaacs equation with H_∞-cost function in an on-line way, instead of traditional action-critic architecture. A simulation example is employed to illustrate the validity of the scheme of the paper.