Consensus for hybrid multi-agent systems with pulse-modulated protocols

He, Sulan; Yu, Wenwu; Lv, Yuezu; Wang, Zhenling; Zhang, Dong

doi:10.1016/j.nahs.2020.100867

Cited by 5 publications

(2 citation statements)

References 44 publications

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“…In [9], a distributed optimal sliding mode control was designed for a linear MAS on directed topologies. The consensus control of MAS without a leader, where the final value of the agents depends on the initial values of the agents has been extensively studied [10], [11], [12], [13]. When all the agents need to follow the desired trajectory, the leader-follower consensus which commands the agents follow its motion is implemented [14], [15], [16], [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Distributed Voltage Control Methods for Standalone Microgrids

Ali

Mahmoud

2022

IJRCS

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A microgrid is a small-scale power grid comprising distributed generators (DGs), distributed storage systems, and loads. It will lose contribution from the main grid if it shifts to islanded mode due to pre-planned or unforeseen disturbances. To restore the terminal voltages of all the distributed generators to the reference value, this paper presents three coordinated secondary control strategies. First, motivated by the synchronization control theory of multiagent systems, a distributed control technique is developed where each of the DGs is considered an agent and they exchange information via a communication network. second, a two-level control technique is designed in which a global controller is employed to monitor the overall performance of the DGs by transmitting corrective signals to the local controllers of the agents. In this technique, all the communication is between the global controller and the local controllers without any direct communication between the agents. Third, decentralized control is provided in which each DG is separately controlled by its local controller that operates based on the local feedback measurements. Simulations are carried out on an islanded microgrid consisting of four DGs to illustrate our design approach.

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Section: Introductionmentioning

confidence: 99%

Coordinated Distributed Voltage Control Methods for Standalone Microgrids

Ali

Mahmoud

2022

IJRCS

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“…In Reference 21, the authors also investigated the consensus problem for the hybrid multiagent systems with heterogeneous dynamic. Reference 22 designed some pulse‐modulated protocols for solving the consensus of hybrid multiagent system. In Reference 23, Su et al proposed an event‐triggered method to solve the consensus problem for the second‐order hybrid multiagent system.…”

Section: Introductionmentioning

confidence: 99%

Further analysis for consensus of hybrid multiagent systems: A unified framework

Zhao

Zheng

Liu

et al. 2021

Intl J Robust & Nonlinear

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Hybrid multiagent systems exist widely in real world and have been applied in many engineering fields. In this article, we consider the consensus problem for the hybrid multiagent system consisting of continuous‐time and discrete‐time dynamic agents. Different from the previous works, in this article, the interactions between different agents no longer only occur at the sampling time, but continuous‐time dynamic agents can interact with their continuous‐time dynamic neighbors in real time. By using graph theory and differential mean value theorem of matrix function, a consensus criterion is obtained for the hybrid multiagent system. A unified framework is also established for the consensus of continuous‐time and discrete‐time multiagent systems. Finally, a simulation example is given to illustrate the validity of our protocol.

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