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Math. Comput. Appl. 2017, 22(1), 14; doi:10.3390/mca22010014

Event Triggered Multi-Agent Consensus of DC Motors to Regulate Speed by LQR Scheme

1
School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200444, China
2
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
*
Author to whom correspondence should be addressed.
Received: 21 November 2016 / Accepted: 19 January 2017 / Published: 26 January 2017
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Abstract

In the presented paper, the leader-following consensus algorithm of a multi-agent system (MAS) is used along with the centralized event-triggering scheme to make the speed of the network-coupled multiple-motors synchronizable. In the proposed method, the updates for the controller are event-driven based on local information. Moreover, the basic consensus protocol is also revised such that the speed information of the motors is used in order to reach identical speed. The main benefit of the planned event-triggered methodology is the energy saving by avoiding the continuous control of the system. As far as stability analysis of the system is concerned, a common Lyapunov function is incorporated to validate stability. The acquired results endorse the success of the proposed methodology. View Full-Text
Keywords: event-triggered consensus; leader-following multi-agent system; Linear Quadratic Regulator (LQR) control; Riccati inequality; Lyapunov theorem; networked multi-motor system; speed synchronization event-triggered consensus; leader-following multi-agent system; Linear Quadratic Regulator (LQR) control; Riccati inequality; Lyapunov theorem; networked multi-motor system; speed synchronization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Masroor, S.; Peng, C.; Ali, Z.A. Event Triggered Multi-Agent Consensus of DC Motors to Regulate Speed by LQR Scheme. Math. Comput. Appl. 2017, 22, 14.

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