Decentralized Adaptive Fuzzy Secure Control for Nonlinear Uncertain Interconnected Systems Against Intermittent DoS Attacks

• Published in: IEEE transactions on cybernetics Vol. 49; no. 3; pp. 827 - 838
• Main Authors: An, Liwei, Yang, Guang-Hong
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Adaptive control; Adaptive systems; Backstepping; Control systems design; Cyber-physical systems; cyber-physical systems (CPSs); Cybersecurity; denial-of-service (DoS); Design parameters; Dwell time; Error signals; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy systems; Interconnected systems; Linear matrix inequalities; Matrix methods; Nonlinear control; Nonlinear systems; Output feedback; State variable
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2017.2787740

Cyber-physical systems (CPSs) are naturally highly interconnected and complexly nonlinear. This paper investigates the problem of decentralized adaptive output feedback control for CPSs subject to intermittent denial-of-service (DoS) attacks. The considered CPSs are modeled as a class of nonlinear uncertain strict-feedback interconnected systems. When a DoS attack is active, all the state variables become unavailable and standard backstepping cannot be applied. To overcome this difficulty, a switching-type adaptive state estimator is constructed. Based on an improved average dwell time method incorporated by frequency and duration properties of DoS attacks, convex design conditions of controller parameters are derived in term of solving a set of linear matrix inequalities. The proposed controller guarantees that all closed-loop signals remain bounded, while the error signals converge to a small neighborhood of the origin. As an illustrative example, the proposed control scheme is applied to a power network system.