Distributed Fault-Tolerant Control of Uncertain Multi-Agent Systems with Connectivity Maintenance
查看参考文献36篇
|
文摘
|
In this paper, a distributed cooperative control protocol is presented to deal with actuator failures of multi-agent systems in the presence of connectivity preservation. With the developed strategy, each agent can track the reference trajectory of the leader in the presence of actuator failures, disturbances and uncertainties. The connectivity of the multi-agent system can always be ensured during the control process. To achieve the aforementioned control objectives, a potential function is introduced to the distributed adaptive fault-tolerant control algorithm to preserve the initial connected network among the agents. The uncertainty of the multi-agent system, which is allowed to be described by discontinuous functions, is approximated and compensated using the fuzzy logic system. The asymptotic stability of the closed-loop system is demonstrated through the use of Cellina’s approximate selection theorem of nonsmooth analysis. Due to the developed adaptive laws, the upper bound of the disturbance is allowed to be uncertain, which facilitates the implementation of the control scheme. Finally, simulation results are provided to verify the effectiveness of the proposed control scheme. |
|
来源
|
Journal of Systems Science and Complexity
,2024,37(1):40-62 【核心库】
|
|
DOI
|
10.1007/s11424-024-3436-1
|
|
关键词
|
Actuator failure
;
connectivity maintenance
;
coordination control
;
uncertainties
|
|
地址
|
1.
Continental-NTU Corporate Lab,Nanyang Technological University, Singapore, Singapore, 639798
2.
Continental-NTU Corporate Lab and the School of Electrical and Electronic Engineering,Nanyang Technological University, Singapore, Singapore, 639798
|
|
语种
|
英文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1009-6124 |
|
学科
|
自动化技术、计算机技术 |
|
基金
|
supported by the RIE2020 Industry Alignment Fund Industry Collaboration Projects (IAFICP) Funding Initiative
|
|
文献收藏号
|
CSCD:7659301
|
参考文献 共
36
共2页
|
|
1.
Tang Y. Tracking control of networked multi-agent systems under new characterizations of impulses and its applications in robotic systems.
IEEE Transactions on Industrial Electronics,2015,63(2):1299-1307
|
CSCD被引
12
次
|
|
|
|
|
2.
Li Y J. Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems.
Journal of Systems Science & Complexity,2023,36(5):1851-1877
|
CSCD被引
2
次
|
|
|
|
|
3.
Morstyn T. Cooperative multi-agent control of heterogeneous storage devices distributed in a DC microgrid.
IEEE Transactions on Power Systems,2015,31(4):2974-2986
|
CSCD被引
8
次
|
|
|
|
|
4.
Ma H. Lifelong multi-agent path finding for online pickup and delivery tasks.
arXiv: 1705.10868,2017
|
CSCD被引
2
次
|
|
|
|
|
5.
Baxter J W. Fly-by-agent: Controlling a pool of uavs via a multi-agent system.
Proceedings of the International Conference on Innovative Techniques and Applications of Artificial Intelligence,2007:219-230
|
CSCD被引
1
次
|
|
|
|
|
6.
Ren W. Second-order consensus protocols in multiple vehicle systems with local interactions.
Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit,2005
|
CSCD被引
1
次
|
|
|
|
|
7.
Cai H. The leader-following attitude control of multiple rigid spacecraft systems.
Automatica,2014,50(4):1109-1115
|
CSCD被引
21
次
|
|
|
|
|
8.
Deng C. Distributed adaptive tracking control for high-order nonlinear multi-agent systems over event-triggered communication.
IEEE Transactions on Automatic Control,2022,68(2):1176-1183
|
CSCD被引
2
次
|
|
|
|
|
9.
Liu Z J. Single parameter adaptive neural network control for multi-agent deployment with prescribed tracking performance.
Automatica,2023,156:111207
|
CSCD被引
1
次
|
|
|
|
|
10.
Qi W. Strong Structural Controllability Based on Leader-Follower Framework.
Journal of Systems Science & Complexity,2023,36(4):1498-1518
|
CSCD被引
2
次
|
|
|
|
|
11.
Fang X. Distributed localization in dynamic networks via complex Laplacian.
Automatica,2023,151:110915
|
CSCD被引
3
次
|
|
|
|
|
12.
Chen W. Consensus-based distributed cooperative learning control for a group of discrete-time nonlinear multi-agent systems using neural networks.
Automatica,2014,50(9):2254-2268
|
CSCD被引
5
次
|
|
|
|
|
13.
Li K W. Fuzzy adaptive optimal consensus fault-tolerant control for stochastic nonlinear multi-agent systems.
IEEE Transactions on Fuzzy Systems,2022,30(8):2870-2885
|
CSCD被引
3
次
|
|
|
|
|
14.
Zhao Z J. Adaptive inverse compensation fault-tolerant control for a flexible manipulator with unknown dead-zone and actuator faults.
IEEE Transactions on Industrial Electronics,2023,70(12):12698-12707
|
CSCD被引
1
次
|
|
|
|
|
15.
Xing X Y. Robust adaptive control allocation for a class of cascade ODE-string systems with actuator failures.
IEEE Transactions on Automatic Control,2021,67(3):1474-1481
|
CSCD被引
2
次
|
|
|
|
|
16.
Hua Y Z. Distributed fault-tolerant time-varying formation control for second-order multi-agent systems with actuator failures and directed topologies.
IEEE Transactions on Circuits and Systems II: Express Briefs,2018,65(6):774-778
|
CSCD被引
1
次
|
|
|
|
|
17.
Song G. Distributed fault-tolerant cooperative output regulation for multiagent networks via fixed-time observer and adaptive control.
IEEE Transactions on Control of Network Systems,2022,9(2):845-855
|
CSCD被引
1
次
|
|
|
|
|
18.
Saboori I. Actuator fault accommodation strategy for a team of multi-agent systems subject to switching topology.
Automatica,2015,62:200-207
|
CSCD被引
4
次
|
|
|
|
|
19.
Guo X G. Event-triggered adaptive fault-tolerant pinning control for cluster consensus of heterogeneous nonlinear multi-agent systems under aperiodic DoS attacks.
IEEE Transactions on Network Science and Engineering,2021,8(2):1941-1956
|
CSCD被引
6
次
|
|
|
|
|
20.
Zhao L. Cooperative adaptive fault-tolerant control for multi-agent systems with deception attacks.
Journal of the Franklin Institute,2020,357(6):3419-3433
|
CSCD被引
7
次
|
|
|
|
|
了解气象卫星更多信息，请访问