Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation

The admissible consensus problem of singular multi‐agent systems (SMASs) with mismatched norm‐bounded parametric uncertainties and unknown norm‐bounded disturbances is investigated by an i...

Robust admissible consensus of singular multi‐agent systems using sliding mode approach

A decentralized hierarchical control strategy with communication time-varying delay is designed for microgrid (MG) to enhance the voltage and frequency regulation. Recently, event-triggered consensus algorithm is used to reduce energy consumption. To improve the communication reliability, data loss due to communication interruption is considered in this article. First, each distributed generator (DG) of MG is regarded as an agent. Based on multiagent consistency theory, the distributed secondary controller is established. Second, the event trigger function of the secondary controller is constructed, and the stability of the secondary controller is proved by Lyapunov theorem. Third, a data predictive controller is established to train and learn the historical voltage, frequency, and active power of MG by using the improved extreme learning machine (ELM) algorithm. When communication is interrupted, the ELM controller is triggered and the lost data is compensated in time. Finally, the effectiveness of the control strategy is verified by simulation. Simulation results show that the proposed control strategy effectively adjusts the frequency and voltage, realizes accurate active power sharing, reduces the communication burden, and improves the reliability of MG.

A High-Reliability Event-Triggered Secondary Control Strategy for Microgrid Considering Time-Varying Delay

This study investigates the consensus tracking problem for unknown multi-agent systems (MASs) with time-varying communication topology by using the methods of data-driven control and model predictive control. Under the proposed distributed iterative protocol, sufficient conditions for reducing tracking error are analyzed for both time invariable and time varying desired trajectories. The main feature of the proposed protocol is that the dynamics of the multi-agent systems are not required to be known and only local input-output data are utilized for each agent. Numerical simulations are presented to illustrate the effectiveness of the derived consensus conditions.

Distributed data driven control for multi-agent consensus with unknown system dynamics

A decentralized hierarchical control strategy with communication time-varying delay is designed for microgrid (MG) to enhance the voltage and frequency regulation. Recently, event-triggered consensus algorithm is used to reduce energy consumption. To improve the communication reliability, data loss due to communication interruption is considered in this article. First, each distributed generator (DG) of MG is regarded as an agent. Based on multiagent consistency theory, the distributed secondary controller is established. Second, the event trigger function of the secondary controller is constructed, and the stability of the secondary controller is proved by Lyapunov theorem. Third, a data predictive controller is established to train and learn the historical voltage, frequency, and active power of MG by using the improved extreme learning machine (ELM) algorithm. When communication is interrupted, the ELM controller is triggered and the lost data is compensated in time. Finally, the effectiveness of the control strategy is verified by simulation. Simulation results show that the proposed control strategy effectively adjusts the frequency and voltage, realizes accurate active power sharing, reduces the communication burden, and improves the reliability of MG. 

Tracking Control for General Second‐order Multi‐agent Systems with Communication Delay and Variable Topology

This study addresses the consensus problem in nonlinear multi-agent systems with the distributed impulsive control method. To decrease communication wastage, a distributed event-triggered impulsive...

Consensus of nonlinear multi–agent systems with distributed event–triggered impulsive control:

This article studies the consensus problem for a class of general second-order multi-agent systems with communication delay. The Lyapounov-Krasovskii functional with integral terms is constructed. Based on the Lyapounov-Krasovskii functional, the sufficient exponential consensus conditions for a class of general second-order multi-agent systems with communication delay are obtained. The effectiveness of the derived consensus conditions is illustrated by numerical example.

Jia Wu

Papers

Tracking Control for General Second‐order Multi‐agent Systems with Communication Delay and Variable Topology

Consensus of nonlinear multi–agent systems with distributed event–triggered impulsive control:

The exponential consensus of general second order multi-agent systems with communication delay