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arXiv 2406.00540eess.SYcs.SY
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拒绝服务攻击下网络化控制系统的最优传输功率调度

Optimal Transmission Power Scheduling for Networked Control System under DoS Attack

Siyi Wang, Yulong Gao, Sandra Hirche

AI总结:

本文针对DoS攻击下的网络化控制系统,开展通信-控制协同设计研究,将原问题分解为两个独立子问题求解最优控制与功率调度策略,推导无限时域总代价上界并通过数值算例验证结果。

摘要:

设计能够抵御对抗性威胁且具备可靠性与韧性的网络化控制系统,是保障信息物理系统安全的关键。本文研究拒绝服务(DoS)攻击下网络化控制系统的通信-控制协同设计问题。在无线信道中,传输功率调度器会周期性地确定传感数据传输的功率等级,而DoS攻击会通过破坏通信信道导致数据包无法传输。本文在存在DoS攻击的场景下协同设计控制律与功率调度律,目标是最小化调节控制性能代价与传输功耗的总和,分别针对有限时域和无限时域折扣代价准则展开研究。通过分析攻击下控制器与功率调度器之间的信息结构,本文将原始协同设计问题分解为两个可独立求解的子问题,且不会损失最优性。研究证明最优控制具备确定性等价特性,最优传输功率调度可通过动态规划方法求解。此外,在无限时域场景下,本文分析了所设计调度策略的性能,并推导了总代价的上界。最后,通过数值算例验证了理论结果的有效性。

英文摘要:

Designing networked control systems that are reliable and resilient against adversarial threats, is essential for ensuring the security of cyber-physical systems. This paper addresses the communication-control co-design problem for networked control systems under denial-of-service (DoS) attacks. In the wireless channel, a transmission power scheduler periodically determines the power level for sensory data transmission. Yet DoS attacks render data packets unavailable by disrupting the communication channel. This paper co-designs the control and power scheduling laws in the presence of DoS attacks and aims to minimize the sum of regulation control performance and transmission power consumption. Both finite- and infinite-horizon discounted cost criteria are addressed, respectively. By delving into the information structure between the controller and the power scheduler under attack, the original co-design problem is divided into two subproblems that can be solved individually without compromising optimality. The optimal control is shown to be certainty equivalent, and the optimal transmission power scheduling is solved using a dynamic programming approach. Moreover, in the infinite-horizon scenario, we analyze the performance of the designed scheduling policy and develop an upper bound of the total costs. Finally, a numerical example is provided to demonstrate the theoretical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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