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Start Over Author "Juelong Li" Journal journal of inequalities and applications
2 results on '"Juelong Li"'

1. A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems

Author

Xiaobo Wang, Juelong Li, Jianchun Xing, and Ronghao Wang

Subjects
multiagent system, finite-time, event-triggered control, consensus, protocol, Mathematics, QA1-939
Abstract

Abstract We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence time is obtained. The relationship between the convergence time and protocol parameter with initial state is analyzed. Lastly, simulations are conducted to verify the effectiveness of the results.

Published
2017
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2. A novel finite-time average consensus protocol based on event-triggered nonlinear control strategy for multiagent systems

Author

Jianchun Xing, Juelong Li, Ronghao Wang, and Xiaobo Wang

Subjects
0209 industrial biotechnology, 02 engineering and technology, Nonlinear control, Upper and lower bounds, event-triggered control, 020901 industrial engineering & automation, Control theory, finite-time, Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Discrete Mathematics and Combinatorics, protocol, Protocol (object-oriented programming), Mathematics, lcsh:Mathematics, Research, Applied Mathematics, Multi-agent system, multiagent system, Average consensus, lcsh:QA1-939, consensus, 020201 artificial intelligence & image processing, State (computer science), Finite time, Analysis
Abstract

We present a novel finite-time average consensus protocol based on event-triggered control strategy for multiagent systems. The system stability is proved. The lower bound of the interevent time is obtained to guarantee that there is no Zeno behavior. Moreover, the upper bound of the convergence time is obtained. The relationship between the convergence time and protocol parameter with initial state is analyzed. Lastly, simulations are conducted to verify the effectiveness of the results.

Published
2017
Full Text
View/download PDF

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