Zhejiang University of Technology
The National Natural Science Foundation of China (61973277, 62073292), Zhejiang Provincial Natural Science Foundation(LR20F030004)
本文针对动态模型未知的信息物理系统在拒绝服务(DoS)攻击下的安全控制问题, 提出了无模型的H∞控制方法, 其中DoS攻击具有代价约束且连续攻击次数是有界的. 首先, 利用量测数据设计丢包情形下的Smith预估器对当前状态进行预测, 并给出了量测反馈H∞控制器的结构形式. 其次, 利用博弈论将H∞控制问题转化二人零和博弈问题, 从而给出了控制器增益的设计方法. 进一步, 基于Q-learning方法设计了模型未知下的控制器增益在线求解算法, 实现了系统的安全H∞控制. 最后, 通过雕刻机平台的仿真和实验验证了所提方法的有效性.
This paper is concerned with the model-free H∞ control for cyber-physical systems with unknown dynamic models in the presence of denial-of-service (DoS) attacks, where DoS attacks are considered to be cost-constrained, and the number of successive attacks is bounded. Firstly, a Smith predictor with dropouts is designed to predict the current state using the measurement data, and the structure of the measurement feedback H∞ controller is given. Secondly, the H∞ control problem is transformed into a two-player zero-sum game, and then the designing method of the controller gain is presented by the game theory. Furthermore, an online Q-learning algorithm is designed to solve the controller gain with unknown model parameters, and the secure H∞ control of the system is realized. Finally, an experiment on the plat of Carving is given to demonstrate the effectiveness of the proposed methods.