Ben Niu;Luyao Wen;Xudong Zhao;Guangdeng Zong;Ding Wang;Baoyi Zhang
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Adaptive Fuzzy Consensus Tracking Using Monotone Tube Boundary Functions for Nonlinear MASs Under FDI Attacks: A Single-Parameter Integration Approach
This article principally presents the adaptive fuzzy dynamic event-triggered output-feedback consensus tracking control problem for constrained nonlinear multiagent systems encountering false data injection attacks, using monotone tube boundary functions (MTBFs). First, the composite observer is designed to concurrently estimate the unpredictable system states and disturbances. Then, a novel parameter integration approach is constructed via the fuzzy approximation technique to reduce the computational burden, where the uncertainty terms (state errors, composite errors, fuzzy weights, and injection attacks) can be converted into a linear parameterized form with merely one unknown scalar. In addition, a set of MTBFs is designed to prevent the excessive overshoot or jitter of system errors in the transient-state performance. Furthermore, an adaptive dynamic event-triggered control strategy is constructed on the basis of the auxiliary dynamic variable. All the closed-loop signals are shown to be bounded, and the followers can achieve the synchronous tracking of the leader's output. In the end, the simulation results demonstrate the efficiency of the proposed control strategy.
期刊介绍:
The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.