Consensus tracking control for uncertain non‐strict feedback multi‐agent system under cyber attack via resilient neuroadaptive approach

Abstract

Multi-agent system (MAS) is a common cyber-physical system (CPS). Due to it often uses a relatively open network platform, it is vulnerable to malicious cyber attacks in the process of system operation, so the control scheme design is critical to ensure the system operation security. In this article, we propose a new resilient neuroadaptive dynamic surface control scheme for non-linear MASs with potential cyber attacks (false data injection and denial-of-service), system uncertainty, unknown control gain, and output constraints which are usually seen on CPSs.In this scheme, the neuroadaptive controller design ensures that all signals of the closed loop system are semi-globally uniform ultimately bounded when the MAS even exists time-varying cyber attacks on data links among agents, and the links between controllers, actuators, and sensors. Using Gaussian radial basis function neural network, the system uncertainty, non-strict feedback terms, unknown control gain, and some cyber attacks are effectively solved and the process of controller design is extremely simplified. Finally, we provide a simulation result to verify the effectiveness and superiority of the proposed control scheme.

Fixed‐time sliding mode consensus tracking for second‐order nonlinear multi‐agent system with persistent dwell‐time switching topologies

“…Recently, researchers have increasingly focused on achieving consensus of MAS in finite time. While traditional analyses of asymptotic stability [21][22][23] hold theoretical significance, practical systems demand methods that operate within finite time frames. Therefore, there has been a significant increase of research in developing finite-time consensus in recent years, 24,25 which can lead to faster convergence, better tracking accuracy, and increased robustness.…”

Adaptive neural network fault‐tolerant control for uncertain non‐strict feedback nonlinear system with actuator faults and state constraints

“…Non-strict feedback (NSF) nonlinear systems have broader forms than strict feedback (SF) systems. [1][2][3][4][5] In practice, there are many systems with NSF form, such as spherical beam system 6 and hyperchaotic LC oscillatory circuit system. 7 The system function of a NSF system is related to all system states, which makes designing control schemes by inversion very difficult and challenging.…”

Event‐triggered distributed H∞$$ {H}_{\infty } $$ secure control for nonholonomic agents with dead‐zone inputs under attacks on sensors and actuators

“…It is necessary to pay attention to network security for multi‐agent systems and design a distributed control scheme to protect them against attacks (See References 9‐15 and the references therein). Distributed secure control methods developed in recent years have not only minimized the consensus performance index functions for networked systems but also mitigated the effect of attacks.…”