Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems
This paper investigates the output consensus problem of heterogeneous stochastic nonlinear multiagent systems with directed communication topologies, with a view of making the outputs of a group of follower agents track the output of a leader. Fuzzy logic systems are applied to approximate the unkno...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/142442 |
| _version_ | 1811694270119149568 |
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| author | Li, Shaobao Er, Meng Joo Zhang, Jie |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Li, Shaobao Er, Meng Joo Zhang, Jie |
| author_sort | Li, Shaobao |
| collection | NTU |
| description | This paper investigates the output consensus problem of heterogeneous stochastic nonlinear multiagent systems with directed communication topologies, with a view of making the outputs of a group of follower agents track the output of a leader. Fuzzy logic systems are applied to approximate the unknown nonlinear functions of agents. A special case that all followers can get access to the leader is first considered, and a novel decentralized adaptive fuzzy control law based on the output regulation framework is presented. Next, the proposed control scheme is further applied to design the distributed adaptive fuzzy control law for a more general case that only part of agents can get access to the leader. By applying Lyapunov stability analysis, it is shown that the outputs of followers will achieve consensus to a sufficient small bound of the output of the leader under the proposed control law. Finally, simulation results demonstrate that the proposed control law is effective and efficient. The developed distributed control scheme can be widely applied to solve the cooperative control problem of practical autonomous systems with uncertain dynamics such as synchronization of mechanical systems with vibration, formation control of autonomous underwater vehicles, etc. |
| first_indexed | 2024-10-01T07:04:54Z |
| format | Journal Article |
| id | ntu-10356/142442 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:04:54Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1424422020-06-22T05:53:21Z Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems Li, Shaobao Er, Meng Joo Zhang, Jie School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Adaptive Fuzzy Control Nonlinear Multiagent Systems This paper investigates the output consensus problem of heterogeneous stochastic nonlinear multiagent systems with directed communication topologies, with a view of making the outputs of a group of follower agents track the output of a leader. Fuzzy logic systems are applied to approximate the unknown nonlinear functions of agents. A special case that all followers can get access to the leader is first considered, and a novel decentralized adaptive fuzzy control law based on the output regulation framework is presented. Next, the proposed control scheme is further applied to design the distributed adaptive fuzzy control law for a more general case that only part of agents can get access to the leader. By applying Lyapunov stability analysis, it is shown that the outputs of followers will achieve consensus to a sufficient small bound of the output of the leader under the proposed control law. Finally, simulation results demonstrate that the proposed control law is effective and efficient. The developed distributed control scheme can be widely applied to solve the cooperative control problem of practical autonomous systems with uncertain dynamics such as synchronization of mechanical systems with vibration, formation control of autonomous underwater vehicles, etc. MOE (Min. of Education, S’pore) 2020-06-22T05:53:21Z 2020-06-22T05:53:21Z 2017 Journal Article Li, S., Er, M. J., & Zhang, J. (2018). Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multi-agent systems. IEEE Transactions on Fuzzy Systems, 26(3), 1138-1152. doi:10.1109/TFUZZ.2017.2710949 1063-6706 https://hdl.handle.net/10356/142442 10.1109/TFUZZ.2017.2710949 2-s2.0-85047940082 3 26 1138 1152 en IEEE Transactions on Fuzzy Systems © 2017 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering Adaptive Fuzzy Control Nonlinear Multiagent Systems Li, Shaobao Er, Meng Joo Zhang, Jie Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title | Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title_full | Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title_fullStr | Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title_full_unstemmed | Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title_short | Distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| title_sort | distributed adaptive fuzzy control for output consensus of heterogeneous stochastic nonlinear multiagent systems |
| topic | Engineering::Electrical and electronic engineering Adaptive Fuzzy Control Nonlinear Multiagent Systems |
| url | https://hdl.handle.net/10356/142442 |
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