Adaptive dynamic programming for security of networked control systems with actuator saturation

In this paper, an optimal control problem is investigated for a networked control system with actuator saturation under denial-of-service attacks. An intrusion detection system is introduced to defend denial-of-service attacks in the networked control system. Game theory is used to describe interaction between denial-of-service attacks and the intrusion detection system. A performance index function is presented to deal with actuator saturation by an iterative adaptive dynamic programming algorithm. Back-propagation neural networks are used to realize the iterative adaptive dynamic programming algorithm. Two numerical simulations are given to demonstrate effectiveness of the proposed method.