Estimator-based adaptive neural network control of leader-follower high-order nonlinear multiagent systems with actuator faults

Author:

Zhou Ning1ORCID,Chen Riqing1,Xia Yuanqing2,Huang Jie3

Affiliation:

1. College of Computer and Information Sciences; Fujian Agriculture and Forestry University; Fuzhou 350002 China

2. School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems; Beijing Institute of Technology; Beijing 100081 China

3. Faculty of Science and Engineering; University of Groningen; Groningen 9747 AG The Netherlands

Funder

Foundation of Cloud Computing and Big Data for Agriculture and Forestry

National Basic Research Program of China

National Natural Science Foundation of China

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Natural Science Foundation of Fujian Province of China

Research Foundation for Outstanding Young Scholars in Fujian Agriculture and Forestry University

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference26 articles.

1. On consensus of multiple high-order uncertain systems based on distributed backstepping framework;Huang;Int J Adv Robot Syst,2014

2. An overview of distributed high-order multi-agent coordination;Huang;IEEE/CAA J Autom Sin,2014

3. Quantized leaderless and leader-following consensus of high-order multi-agent systems with limited data rate;Qiu;IEEE Trans Autom Control,2016

4. Region tracking control for high-order multi-agent systems in restricted space;Sun;IET Control Theory Appl,2016

5. Distributed containment control with predefined performance of high-order multi-agent systems with unknown heterogeneous non-linearities;Yoo;IET Control Theory Appl,2015

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