Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...) strategies for different types of cyberphysical attacks via the optimal control design, and stability proofs are derived through Lyapunov theory. Furthermore, the stability analysis with the NN approximation error, which is rarely discussed in the previous works, is studied in this paper. Finally, two different simulation examples demonstrate the effectiveness of our proposed methods. (shrink)

本书主要探讨传统思想与科学发展之间的关系,涉及传统哲学的科学基础、科学发展的思想原因、科学思想的涵义和演变、以及传统思想对数学、医学等各门学科的作用和影响。.

本书主要探讨传统思想与科学发展之间的关系,涉及传统哲学的科学基础、科学发展的思想原因、科学思想的涵义和演变、以及传统思想对数学、医学等各门学科的作用和影响。.