Intelligent Critic Control with Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System
Date of Original Version
In this paper, a computationally efficient framework for intelligent critic control design and application of continuous-time input-affine systems is established with the purpose of disturbance attenuation. The described problem is formulated as a two-player zero-sum differential game and the adaptive critic mechanism with intelligent component is employed to solve the minimax optimization problem. First, a neural identifier is developed to reconstruct the unknown dynamical information incorporating stability analysis. Next, the optimal control law and the worst-case disturbance law are designed by introducing and tuning a critic neural network. Moreover, the closed-loop system is proved to possess the uniform ultimate boundedness. At last, the present method is applied to a smart microgrid and then is further adopted to control a general nonlinear system via simulation, thereby substantiating the performance of disturbance attenuation.
Publication Title, e.g., Journal
IEEE Transactions on Industrial Electronics
Wang, Ding, Haibo He, Chaoxu Mu, and Derong Liu. "Intelligent Critic Control with Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System." IEEE Transactions on Industrial Electronics 64, 6 (2017): 4935-4944. doi: 10.1109/TIE.2017.2674633.