Yuan Fan

Centralized event-triggered control of multi-agent systems with dynamic triggering mechanisms

In this note, consensus problems of multi-agent systems with new dynamic centralized event-triggered mechanisms are presented. This new control protocol is featured by introducing an internal dynamic variable, which is the engine of the of dynamic event triggering algorithm. The triggering conditions of the agents are not only affected by the current states and the state measurement error of the agents but also those previous ones. And the triggering condition is more maneuverability. A Lyapunov function is used to prove the consensus of the multi-agent system under the dynamic event-triggered control. Finally, the effectiveness of the proposed protocol is illustrated by simulations.

Iterative self-triggered consensus of multi-agent systems under dynamically changing graphs

In this note, we study the consensus problem for a group of agents that communicate via a switching information network. The results are equipped with a self-triggered strategy to reduce the frequency of individual agent control updating since the agents may be resource-limited in many real-world situations, where each agent only updates its control input at its own event instants. Moreover, we provide weaker conditions on connectivity under time-dependent interaction topologies based on the convergence analysis of the basic self-triggered algorithm. The effectiveness of the proposed technique is clarified by numerical simulations.

On event-triggered algorithm design for distributed coordination of multi-agent systems

This paper summarizes the development of distributed event-triggered control for multi-agent systems. Several mainstream consensus algorithms are introduced with illustration of their manner of use. The advantages and disadvantages of these algorithms have been presented with comparisons. Finally, the future research directions as well as the application areas of the distributed event-triggered control are provided.

Sampling-based self-triggered coordination control for multi-agent systems with application to distributed generators

ABSTRACT This work investigates the coordination control problem for multiple distributed generation (DG) units with a hierarchical control structure. At the secondary control level, an event-triggered power sharing strategy based on the concept of multi-agent consensus has been proposed for the DG coordination control. Unlike existing consensus-based DG control approaches, the proposed control algorithm is based on sampled data. Thus the event triggering and controller updating actions can only be executed at the sampling time instants. To further reduce the amount of communication among DGs, the proposed event-triggered algorithm is extended to a self-triggered algorithm, where the inter-agent communication transmission is no longer required to be executed at each sampling time instant. The case study results show that the self-triggered algorithm can achieve nearly the same performance on DG coordination as that of the event-triggered algorithm, while significantly reduces the amount of communication.

Multi-agent rendezvous control based on event-triggered mechanism

In this paper, we apply the multi-agent system event-triggered control to the multi-agent rendezvous control, and design the multi-agent event-triggered controller. Meanwhile, we utilize the multi-agent system model that the state of all agents converge to the specified point based on the proportional transformation of the balance point of the original state of the agents. By selecting a suitable Lyapunov function, we prove that all the agents position can converge to the desired rendezvous position. After that, an event-triggered control strategy for multi-agent rendezvous control is introduced. Simulation experiment is designed to test the rationality of the control strategy.

Event-Triggered Output Feedback Control for Uncertain Linear Control Systems

This paper studies the event-triggered output feedback control for uncertain linear control systems. Firstly, an event-triggered control system with an output feedback controller is studied. Secondly, stability criterions are established to guarantee the exponential stability of the closed-loop system based on the theory of linear matrix inequality. Thirdly, we prove that the interval time between two consecutive events has a lower bound. Finally, the feasibility and validity of the design methods are verified by simulation examples.

Dynamical Event-Triggered Consensus Control for Second-Order Multi-Agent Systems

In this paper, the consensus problem of second-order multi-agent systems is investigated. Distributed static event-triggered control and dynamic event-triggered control are developed for the agents to reduce the frequency of actuator updating thus save the onboard energy and communication bandwidth. We have proved that all agents can achieve consensus with the proposed controllers by using the Lyapunov method. The results of simulation show that the controllers can effectively drive the agents to be agreement.

Sampling-based event-triggered control for distributed generators

This work investigates the coordination control problem for multiple distributed generation (DG) units with a hierarchical control structure. At the secondary control level, an event-triggered power sharing strategy based on the concept of multi-agent consensus has been proposed for the DG coordination control. The performance evaluation results show that the proposed algorithm can achieve precise power sharing.

Distributed event-triggered control with dynamic triggering mechanisms for multi-agent systems

In this paper, a new event-triggered mechanism for distributed control system is presented. This control protocol is governed by an a trigger defined based on internal dynamic variable. The triggering condition of an agent is not only affected by its own measurement error and the relative states of its neighbors but also the current state measurement error and those previous ones. A candidate Lyapunov function is proposed to illustrate the asymptotic convergence of the closed-loop system. Simulation results are provided for illustration of the theoretical claims at the end.