Abstract
This paper investigates the distributed resilient consensus control problem for a class non-linear heterogeneous multiagent systems under unreliable communication environment, which includes time-varying interaction network and intermittent denial of service (DoS) attacks. In order to handle heterogeneous nonlinear unknown dynamics in each agent subsystem, a novel distributed adaptive neural networks (NNs) control approach is developed exploiting the neighborhood information. By introducing the topology-dependent Lyapunov function and adaptive switching control mechanism, we show that the uniformly bound convergence of the consensus errors can be guaranteed by the proposed topology average dwell time constraints. A simulation example is provided to validate the effectiveness of the proposed resilient control algorithm.
Highlights
Cyber-physical systems (CPSs) has received a lot of attention as a comprehensive technical system that supports the deep integration of informationization and industrialization [1]– [3]
It is worth noting that the networked multi-agent systems (MASs) as an important class of distributed CPSs, which is combining network communication, calculation and control composed of multiple agents with interactive relationships in cyber network environment [4]–[7]
The main idea of this paper is to assume that the nonlinear dynamics of the subsystem is unknown, and use the neighborhood information to design a distributed resilient control protocol with adaptive neural network updated mechanism to ensure the all final states of each subsystem are consensus
Summary
Cyber-physical systems (CPSs) has received a lot of attention as a comprehensive technical system that supports the deep integration of informationization and industrialization [1]– [3]. On account of above discussions, this work studies the resilient consensus control problem of non-linear multiple agent systems under intermittent DoSs. The main idea of this paper is to assume that the nonlinear dynamics of the subsystem is unknown, and use the neighborhood information to design a distributed resilient control protocol with adaptive neural network updated mechanism to ensure the all final states of each subsystem are consensus. When the communication channels suffer intermittent DoS attacks, a flexible control protocol is designed to stabilize the individual agent system to ensure that the all closed-loop systems are stable even in the case of the communication refuses service It indicates that the closedloop consensus errors are uniformly bounded in switching agent networks when the condition of topology average dwell time (TADT) can be guaranteed. Compared with the existing literature, the contributions of this paper are summarized that, first, the adaptive resilient consensus protocol subject to the switching topology with intermittent DoSs is designed. second, the distributed RBF NNs technique and topology-dependent Lyapunov function approach with TADT are applied, which is helpful to overcome the main difficulties in this issue. third, the effectiveness of the proposed resilient consensus control is given by its applications to a networked Chua’s circuit system
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