Online adaptive inverse control for a class of complex time-varying systems based on combination filtering algorithm
基于联合滤波算法的复杂时变系统在线自适应逆控制

For a class of complex systems with time-varying structure and parameters, an online adaptive inverse control method based on combination filtering algorithm is proposed. This method simultaneously considers the time-varying characteristics of the structure and parameters, and presents an online tracking control mechanism for complex dynamic systems. Meanwhile, a novel combination Volterra kernel method is proposed for dealing with the nonlinear time-varying characteristics, which reduces the computational complexity and provides for nonlinear systems with a better dynamic online tracking control mechanism than the original algorithm. Furthermore, the simulation analysis shows that, for this type of complex time-varying systems, the adaptive inverse control method based on online combination filters can achieve the online modeling of unknown plants fast and effectively.