TY - JOUR
T1 - Fuzzy-Approximation-Based Distributed Fault-Tolerant Consensus for Heterogeneous Switched Nonlinear Multiagent Systems
AU - Zou, Wencheng
AU - Ahn, Choon Ki
AU - Xiang, Zhengrong
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grants 61873128 and 61603414, in part by the National Research Foundation of Korea (NRF) funded by the Korea government (Ministry of Science and ICT) under Grant NRF- 2020R1A2C1005449, and in part by the Brain Korea 21 Plus Project in 2020.
Publisher Copyright:
© 1993-2012 IEEE.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - In this article, the distributed fault-tolerant consensus tracking control problem is investigated for a class of nonlinear multiagent systems, where the dynamics of agents are heterogeneous and switched. For the subsystems of each agent, nonlinear terms are not required to satisfy any growth conditions and fuzzy logic systems are employed to approximate unknown functions. In the protocol design, information on the interaction topology and the number of agents cannot be used. Since the underlying multiagent systems are heterogeneous and have switching characteristics, and the topology information is unknown, it is rather difficult to solve the consensus tracking problem using existing algorithms. In this article, a novel distributed consensus tracking protocol is developed. By using the graph theory, Lyapunov functional method and fuzzy logic systems approximation technique, it is proven that the consensus tracking control objective can be achieved for multiagent systems suffering from actuator faults and arbitrary switchings. Finally, to demonstrate the validity of the developed methodology, a numerical simulation is presented.
AB - In this article, the distributed fault-tolerant consensus tracking control problem is investigated for a class of nonlinear multiagent systems, where the dynamics of agents are heterogeneous and switched. For the subsystems of each agent, nonlinear terms are not required to satisfy any growth conditions and fuzzy logic systems are employed to approximate unknown functions. In the protocol design, information on the interaction topology and the number of agents cannot be used. Since the underlying multiagent systems are heterogeneous and have switching characteristics, and the topology information is unknown, it is rather difficult to solve the consensus tracking problem using existing algorithms. In this article, a novel distributed consensus tracking protocol is developed. By using the graph theory, Lyapunov functional method and fuzzy logic systems approximation technique, it is proven that the consensus tracking control objective can be achieved for multiagent systems suffering from actuator faults and arbitrary switchings. Finally, to demonstrate the validity of the developed methodology, a numerical simulation is presented.
KW - Fault-tolerant consensus
KW - fuzzy logic systems
KW - heterogeneous multiagent systems
KW - nonlinear systems
KW - switched systems
UR - http://www.scopus.com/inward/record.url?scp=85091381740&partnerID=8YFLogxK
U2 - 10.1109/TFUZZ.2020.3009730
DO - 10.1109/TFUZZ.2020.3009730
M3 - Article
AN - SCOPUS:85091381740
VL - 29
SP - 2916
EP - 2925
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
SN - 1063-6706
IS - 10
ER -