Event-triggered Consensus Research Articles

Adaptive output feedback event-triggered consensus control for networked reaction-diffusion PDE systems

This paper explores the adaptive output feedback event-triggered consensus control of a network of parabolic systems modelled by partial differential equations (PDEs). An infinite-dimensional state observer is established to estimate the state based on the relative output information. On the basis of the adaptive state observer, two novel distributed event-triggered controllers are proposed to address the leaderless consensus and leader-follower consensus problem. Based on the Lyapunov method and PDE theory, it is shown that the asymptotic consensus control can be achieved. Compared to the related works, a distinctive feature of the designed event-triggered consensus protocols is fully distributed which does not demand any global information of the graph. In addition, the absence of Zeno behaviour is demonstrated. Lastly, the obtained results are demonstrated using two simulations.

Improved Adaptive Dynamic Event-Triggered Consensus of Multi-Agent Systems

This brief exploits the adaptive dynamic event-triggered (ADET) consensus problem for multi-agent systems (MASs). Firstly, we propose a novel ADET protocol which improves the existing dynamic event triggered (DET) protocol and adaptive event-triggered (AET) protocol based on sampling control. The possibility that linear matrix inequalities (LMIs) has no feasible solution is reduced by presetting an adaptive maximum threshold. The asymptotic stability criterion is obtained. Subsequently, the controller gain and ADET parameters are obtained. Finally, the validity of the theoretical results in this brif is verified by a numerical simulation.

Event-Triggered Consensus Control of Agent-Based Full-Vehicle Suspension Systems

Event-Triggered Consensus Control of Agent-Based Full-Vehicle Suspension Systems

Event-triggered consensus control method with communication faults for multi-UAV

This paper investigates the event-triggered consensus for a group of unmanned aerial vehicles (UAVs) with communication faults under the assumption that the position sensors of some individuals are damaged. The objective is to make the UAV group reach consensus in urgent tasks such as obstacle avoidance or evasion. Using the Lyapunov stability theory, sufficient conditions to achieve system consensus are given based on different velocity and position interaction topologies. Considering the limited capabilities of sensors and processors, an event-triggered consensus protocol is adopted to reduce the sampling frequency. Finally, simulation results illustrate the effectiveness of our approach.

Dynamic Event-Triggered Consensus for Multiagent Systems Under DoS Attacks: A Hybrid System Approach

Dynamic Event-Triggered Consensus for Multiagent Systems Under DoS Attacks: A Hybrid System Approach

Event-Triggered Consensus Tracking for Time-Delay Multi-Agent Systems with Input Saturation Via Dynamic Output Feedback

Event-Triggered Consensus Tracking for Time-Delay Multi-Agent Systems with Input Saturation Via Dynamic Output Feedback

Matrix measure-based event-triggered consensus of multi-agent systems with hybrid time delays

Considering that there are many systems with limited energy resources in reality, this paper mainly concentrates on researching the leader-following consensus issue for an array of nonlinear multi-agent systems with hybrid time delays. The purpose of this article is to reduce the load of communication and controller updates for multi-agent systems on the basis of consensus achieving, a novel distributed event-triggered impulsive control strategy is therefore proposed to realize the global and exponential leader-following consensus. By jointly utilizing the matrix measure protocol, the comparison principle and the parameter variation formula method, sufficient conditions for the realization of leader-following consensus are successfully obtained. Moreover, the convergence rate is precisely estimated and the Zeno behavior is proved not exist in closed-loop systems. Eventually, a numerical example is given to demonstrate the effectiveness of proposed control strategy and the rightness of theoretical analysis.

Adaptive event-triggered consensus of multi-agent systems with spherical polar coordinate quantization mechanism

Adaptive event-triggered consensus of multi-agent systems with spherical polar coordinate quantization mechanism

Distributed Finite-time Dynamic Event-triggered Consensus Control for Nonlinear Multi-agent Systems

Distributed Finite-time Dynamic Event-triggered Consensus Control for Nonlinear Multi-agent Systems

Event-Triggered Consensus of Multiple Uncertain Euler–Lagrange Systems With Limited Communication Range

In this article, a hybrid event-triggered control protocol is proposed to solve the consensus problem for a class of multiple uncertain Euler–Lagrange systems with limited communication range. The limited communication range will cause the system topology to be time varying. A novel connectivity-preserving mechanism based on the potential function is designed to guarantee the connectivity of initial edges. Then, we introduce an event triggering mechanism to save communication resources. It is noted that connectivity-preserving control often requires continuous communication as the system states needs to be monitored in real time to ensure that the connection will not be destroyed. Thus, it is difficult to combine event-triggered control with connectivity-preserving control. In this article, we design a novel event-triggered hybrid condition without the real-time neighbors’ information and we exclude Zeno behavior. Finally, a numerical example is given to verify the effectiveness of the protocol.

Dynamic Event-Triggered Consensus for Linear Multi-Agent Systems With Hybrid Intelligence

In this brief, consensus control is investigated for general linear multi-agent systems (MASs) over undirected communication topologies. Considering that the agents in MASs may have nonidentical intelligence characteristics, the concept of intelligent level is introduced to characterize the intelligence characteristics of agents. A novel dynamic event-triggered communication mechanism is developed based on periodic sampled data and the intelligent levels of agents, in which the threshold parameter of the event-triggered condition updates periodically in accordance with a prescribed dynamic law. By making use of a delayed system method and Lyapunov stability theory, some sufficient conditions are derived to guarantee the desired consensus under a novel delicately designed control protocol. Finally, the effectiveness of the proposed approach is validated by a simulation example.

Event-triggered consensus control of heterogeneous multi-agent systems: model- and data-based approaches

Event-triggered consensus control of heterogeneous multi-agent systems: model- and data-based approaches

Distributed Fixed-Time Event-Triggered Consensus Control for Uncertain Nonlinear Multiagent Systems with Actuator Failures

A fixed-time event-triggered consensus control method is proposed for uncertain nonlinear multiagent systems with actuator failures. Since actuator failures, external disturbances and control gains are time-varying and completely unknown, the effects of these system constraints on the system are completely unknown, which makes the implementation of fixed-time tracking control challenging. To deal with these system constraints, radial basis function neural networks (RBFNNs) are applied to approximate the uncertain dynamics, and a boundary estimation method is presented to achieve adaptive compensation for them. Furthermore, considering that the implementation of this boundary estimation method requires a large number of communication resources, an event triggering mechanism is designed to reduce the update frequency of the controller. It is theoretically confirmed that using the proposed control scheme, all the followers can track the leader with sufficient accuracy in a predetermined time, and all the closed-loop signals are bounded. Finally, the simulation experiments verify the theoretical results.

Finite-time dynamic event-triggered consensus of multi-agent systems with mismatched disturbances based on disturbance observer

In this paper, the finite-time dynamic event-triggered consensus of second-order multi-agent systems with mismatched disturbances is studied. First, a nonlinear finite-time disturbance observer is designed to estimate the mismatched and matched disturbance of each follower. Second, the nonlinear dynamic integral sliding surface is developed through the mismatched and matched disturbance estimated by the observer. Then, combined with the dynamic event trigger strategy and the designed integral sliding surface, a new distributed control protocol is proposed, ensuring the finite-time consensus of the system. An analysis of Zeno behavior has found that the event-triggered interval has a positive lower bound. Finally, the effectiveness of the proposed control algorithm is verified by numerical simulation.

Switching adaptive event-triggered consensus control for MASs subject to sequential scaling attacks and transmission delays

The secure consensus issue has been examined for multi-agent systems that are vulnerable to sequential scaling attacks with network communication delays in this paper. It is suggested to use the innovative sampled data based switching event-triggered techniques to prevent neighbors from constantly exchanging information. This research differs from previous works in that it introduces sequential scaling attacks, which combine deception and DoS attacks when communication delays are present. Then, the time-delay closed loop system is established by the technique of interval decomposition and the modeling method of augmented system. Moreover, based on the switching Lyapunov functional, a sufficient condition of the secure consensus is proposed by the utilization of linear matrix inequality technique with free weighting matrices. Finally, there are two illustrative examples employed to confirm the availability of the conceptual results.

Event-triggered consensus control for DC microgrids based on MKELM and state observer against false data injection attacks

Event-triggered consensus control for DC microgrids based on MKELM and state observer against false data injection attacks

Leader-following event-triggered consensus control of MASs under false data injection attacks

Leader-following event-triggered consensus control of MASs under false data injection attacks

Distributed Fault Detection and Dynamic Event-Triggered Consensus for Heterogeneous Multiagent Systems Under Deception Attacks

This paper focuses on the problem of distributed fault detection and leader-following output consensus for heterogeneous multiagent systems subject to deception attacks. During the information exchange and dissemination, a malicious attacker can make full use of specialized computer technology and launch stochastic deception attacks against some vulnerable agents over the network. The attack signals in actual operation tend to be energy-constrained, and Bernoulli distribution can be used to describe the random features. Taking the attack information into account, the distributed fault detection observer and the dynamic consensus compensator are designed in two separate steps. In order to reduce unnecessary information transmission, a dynamic event-triggered mechanism with output-dependent threshold is introduced to the adjustment of consensus protocol. According to Lyapunov stability theory and linear matrix inequality (LMI) techniques, sufficient conditions are derived for developing the model gains of the observer and the compensator. Finally, a simulation example of RLC circuit systems is provided to illustrate the effectiveness of the obtained theoretical results.

Periodic Event-triggered Consensus of Multiagent Systems Under Random Packet Dropouts

Periodic Event-triggered Consensus of Multiagent Systems Under Random Packet Dropouts

Finite time event-triggered consensus of variable-order fractional multi-agent systems

This paper focuses on the finite time consensus issue for variable-order fractional multi-agent systems (FMASs), where each agent is characterized by the piecewise-smooth systems. Firstly, the new variable-order fractional difference inequality and finite time stability theorem are developed, which greatly extend some existing results. Secondly, a distributed control protocol is presented, where a new triggering function and an internal dynamic variable are constructed for designing the dynamic event-triggered mechanism (DETM) to enlarge average event execution times and reduce the consumption of system resources. Thirdly, based on the developed variable-order fractional inequalities and finite time stability theorem, the considered systems achieve consensus within a finite time. Furthermore, it is proved that the Zeno phenomenon do not occur. Finally, the circuit realization approach for the designed control protocol is proposed and simulation results are provided to verify the correctness of theoretical analysis.