Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems

Li, Yanjiang1; Tan, Chong1; Wu, Jingxian1; Liu, Guo-Ping2; Cui, Yin1

2023-10-01

10.1007/s11424-023-1397-4

JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY   Impact Factor & Quartile

1009-6124

1559-7067

The issue of stability and group consensus tracking is investigated for the discrete-time heterogeneous networked multi-agent systems with communication constraints (e.g., time delays and data loss) in this paper. Firstly, the couple-group consensus tracking control is analyzed theoretically, the communication constraints are compensated by the prediction method, and the factor of leaders is introduced to make the system not lose generality. Secondly, the necessary and sufficient condition is given to ensure the stability of the system and achieve the couple-group consensus tracking control, and relax the topology constraint of in-degrees balance by cooperative-competitive interactions. In addition, the result of couple groups is extended to multiple groups based on the predictive control protocol. Numerical simulations with Matlab show that the proposed networked predictive control can effectively overcome the network constraints, the dynamic performance and control effect are better than the general control without the prediction.

Data loss group consensus tracking heterogeneous networked multi-agent systems predictive control time delays

SCI

English

Others

Natural Science Foundation of Heilongjiang Province of China[LH2022F033] ; National Natural Science Foundation of China["61903104","61773144","12071102"] ; Heilongjiang Postdoctoral Scientific Research Developmental Fund["LBH-Q20099","LBH-Q20168"]

Mathematics

Mathematics, Interdisciplinary Applications

WOS:001085954700004

SPRINGER HEIDELBERG

Web of Science

1.Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China
2.Southern Univ Sci & Technol, Ctr Control Sci & Technol, Shenzhen 518055, Peoples R China

Li, Yanjiang,Tan, Chong,Wu, Jingxian,et al. Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2023,36(5).

Li, Yanjiang,Tan, Chong,Wu, Jingxian,Liu, Guo-Ping,&Cui, Yin.(2023).Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,36(5).

Li, Yanjiang,et al."Stability Analysis and Group Consensus Tracking Predictive Control of Multi-Agent Systems".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 36.5(2023).