Adaptive dynamic optimal control for triggered networked switched systems under dual‐ended denial‐of‐service attacks. (18th March 2021)

• Record Type: Journal Article
• Authors: Qi, Yiwen; Xing, Ning; Fu, Jun; Guan, Wei
• Other Names: Fridman Leonid guestEditor.; Efimov Denis guestEditor.; Laghrouche Salah guestEditor.
• Is Part Of: International journal of robust and nonlinear control. Volume 31:Number 9(2021)
• Page Start: 4397
• Page End: 4415
• Publication Date: 2021-03-18
• Subjects: adaptive dynamic optimal control -- dual‐ended DoS attacks -- resilient switch‐triggering mechanism -- triggered networked switched systems; Automatic control -- Periodicals; Control theory -- Periodicals; Nonlinear systems -- Periodicals; 629.836
• DOI: 10.1002/rnc.5485
• Languages: English
• ISSNs: 1049-8923

Abstract

Abstract: Networked switched systems (NSSs) have unique advantages, but the unreliability of networks, such as suffering from attacks, will reduce system performance. Besides, the required control energy to stabilize systems is not considered in existing switching signal design methods, which is worthy of improvement. In this paper, an energy function‐based resilient triggered switching law (EFB‐RTSL) is proposed for NSSs under dual‐ended denial‐of‐service (DoS) attacks and asynchronous switching. For the data communication under DoS attacks, a resilient switch‐triggering mechanism is designed that aims at reducing the unnecessary data transmission and the risk of switching signal being attacked. For the discontinuity of switching signal induced by DoS attacks, a combined structure of attacks‐triggered decision switch and buffer is constructed. Moreover, an integrated model is built to characterize the dual‐ended DoS attacks, and the maximum tolerance is given. The coupling between DoS attacking, synchronous, and asynchronous switching is clarified, which provides convenient conditions for stability analysis. Subsequently, the gains of subcontrollers are computed by a dynamic iterative algorithm. By utilizing the average dwell time and Lyapunov–Krasovskii functional technique, sufficient criteria are derived to ensure the stability of triggered NSSs when suffering from dual‐ended DoS attacks. At last, the effectiveness of proposed method is verified by a numerical simulation.