Nonlinear couplings among units (nodes) are ubiquitous in engineering systems including, eg, radar and sonar systems, which have been ignored in most works In this article, the problem of distributed synchronization of nonlinear networked systems with nonlinear couplings is studied Specifically, two kinds of nodes’ communication couplings including nonlinear relative and nonlinear absolute state couplings are considered To reduce the requirements of control and communication among nodes and avoid any global network information, two edge-based fully adaptive event-triggered control protocols based on nonlinear relative and absolute state couplings are proposed by using the projection operator technique, which is followed by design of corresponding dynamic event-triggered mechanisms The advantages of our proposed dynamic event-triggered strategies show that it can boil down to existing static ones as special examples, and the minimal inter-execution time of the proposed dynamic triggering laws is larger than that of static ones Theoretical analysis shows that the proposed algorithm not only guarantees fully adaptive Zeno-free synchronization of networked systems without requiring any global information, but also avoids continuous communications among nodes, and considerably reduce the frequency of controller updates Finally, the practical merits of the proposed algorithms are corroborated using a Chua’s circuit network

Dynamic Triggering Mechanisms for Distributed Adaptive Synchronization Control and Its Application to Circuit Systems

Neural-network-based control for discrete-time nonlinear systems with denial-of-service attack: The adaptive event-triggered case

This paper investigates the cooperative output regulation problem for heterogeneous nonlinear uncertain multiagent networked systems subject to actuator failure, bounded matched or mismatched disturbances or disturbances produced by a given linear exosystem. Accurate information about nonlinearity, actuator failure and disturbance may be completely unknown. First, a distributed finite-time observer is designed to estimate the dynamics of the exosystem on a finite-time interval over a communication digraph. Then, a neural-adaptive control protocol is proposed. It is shown that (i) closed-loop multiagent systems are asymptotically stable, with output synchronization errors that tend to zero in the absence of mismatched disturbance, and (ii) the states of the closed-loop multiagent systems and the output synchronization errors are bounded in the presence of mismatched disturbance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed control strategy.

Cooperative neural-adaptive fault-tolerant output regulation for heterogeneous nonlinear uncertain multiagent systems with disturbance

The tracking control problem of a network-based unmanned marine vehicle (UMV) system is investigated in this paper. The whole system consist of an UMV, a communication network and a ground-based control station. The measurement data collected by sensor is transmitted to the control station through communication network, and an adaptive event-triggering mechanism is introduced in this paper, which can greatly reduce the communication burden. Moreover, the aperiodic DoS attack is considered that occurs in the channel between the control station and the actuator, and no data can be transmitted when the attack occurs. The main goal is to design a Dynamic Output Feedback Control (DOFC) algorithm to track the given yaw velocity in presence of event-triggering mechanism and DoS attack. By constructing a specific Lyapunov function, the sufficient condition of global exponential stability of system with an expected H ∞ disturbance attenuation index is given, and the controller gains can be obtained by solving some inequalities. Finally, the effectiveness of proposed control scheme is demonstrated by a simulation study on the networked UMV system.

Adaptive event-based tracking control of unmanned marine vehicle systems with DoS attack

This article is concerned with the co-design of fault detection and consensus control protocol for a class of multi-agent systems (MASs) subject to Denial-of-Service attack, where the attack behavior is hidden to the defender as the adversary may launch the attack with different durations but the defender may not know the real situation at each time instant. Due to the complicated attack behavior, a hidden semi-Markov process is introduced where only the observed attack modes emitted by the inaccessible ones are available. The probability density functions of sojourn time and the semi-Markov kernel are adopted to help analyze the combined fault detection and consensus control system. Sufficient conditions on the $\sigma $ -error mean square stability of MASs with mixed ${H_\infty }/{H_ {-} }$ performance are established by using a set of Lyapunov functions that depend on the hidden and the observed attack modes. Moreover, the gain matrices of controller and detector are obtained by solving an optimization problem with some matrix inequality constraints. Finally, the simulation of autonomous unmanned underwater vehicles is used to show the effectiveness of the proposed results.

Kaibo Shi

Papers

Event-triggered output synchronization for nonhomogeneous agent systems with periodic denial-of-service attacks