Adaptive critic control with robust stabilization for uncertain nonlinear systems
The book presents results on learning-based robust adaptive critic control theory, including self-learning robust stabilization, data-driven robust optimal control, adaptive trajectory tracking, adaptive \(H_\infty\) control design. A general analysis for adaptive critic systems in terms of stability, convergence, optimality, and robustness under uncertain environment is covered. Some results are provided to verify the effectiveness of adaptive critic-based robust and tracking control methods for power systems.
learning-based robust adaptive critic control
scientific article; zbMATH DE number 6953906