Further studies on impulsive consensus of multi-agent nonlinear systems with control gain error-Reference-Cited by-同舟云学术

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Further studies on impulsive consensus of multi-agent nonlinear systems with control gain error

Published:2016-05 Issue: Volume:190 Page:140-146
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ma Tiedong,Zhang Liuyang,Gu Zhenyu

Funder

Major State Basic Research Development Program 973

National Natural Science Foundation of China

Basic and Frontier Research Project of Chongqing

Natural Science Foundation of Tianjin City

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Impulsive consensus of multi-agent nonlinear systems with control gain error;Ma;Neurocomputing,2015

2. Information consensus in multivehicle cooperative control;Ren;IEEE Control Syst. Mag.,2007

3. Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications;Wen;Int. J. Control,2013

4. Consensus protocol for linear multi-agent dynamical systems;Zhao;Asian J. Control,2013

5. Distributed consensus control for linear multi-agent systems with discontinuous observations;Wen;Int. J. Control,2013

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1. Formation Control of Second-order Multi-agent Systems with Switching Topologies: A Time-delayed Impulsive Control Approach;International Journal of Control, Automation and Systems;2023-05-06

2. Consensus of linear conformable fractional order multi‐agent systems with impulsive control protocols;Asian Journal of Control;2022-01-20

3. Data-Based Adaptive Dynamic Programming for a Class of Discrete-Time Systems With Multiple Delays;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2020-02

4. Adaptive odd impulsive consensus of multi-agent systems via comparison system method;Nonlinear Analysis: Hybrid Systems;2020-02

5. Impulsive Synchronization of Fractional-Order Chaotic Systems With Actuator Saturation and Control Gain Error;IEEE Access;2020

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