计算机科学
马尔可夫决策过程
数学优化
动态规划
调度(生产过程)
能源消耗
趋同(经济学)
最优化问题
最优控制
马尔可夫过程
工程类
算法
数学
经济
电气工程
统计
经济增长
作者
Rui‐Rui Liu,Fei Hao,Hao Yu
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2021-12-01
卷期号:51 (12): 7622-7632
被引量:21
标识
DOI:10.1109/tsmc.2020.2981478
摘要
This article considers the energy-limited denial-of-service attack scheduling problem on remote state estimation under signal-to-interference-plus-noise ratio-based channels. The goal of the attacker is to design the optimal attack strategy to degrade the control performance of cyber-physical systems and to reduce his energy consumption. First, to weigh the importance between the current and future rewards, an optimization problem with a discount factor is formulated, which is used to reflect the attacker’s goal. Next, a Markov decision problem (MDP) is formulated to solve the optimization problem. Due to the difficulty of solving the high-dimensional MDP with unknown transition and reward functions, a value iteration adaptive dynamic programming method is proposed to achieve an approximate optimal solution. Also, convergence analysis of the proposed algorithm is carried out. Finally, simulation results are presented to show the efficiency and feasibility of the obtained results.
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