Title
Fully Distributed Low-Complexity Control for Nonlinear Strict-Feedback Multiagent Systems With Unknown Dead-Zone Inputs
Abstract
In this paper, the distributed control problem of nonlinear strict-feedback multiagent systems is addressed under directed and time-invariant communication graphs. With the utilization of the prescribed performance control methodology, a control algorithm is proposed to ensure predefined bounds of overshoot, convergence rates, and steady-state values of the neighborhood synchronization errors in the presence of unknown dead-zone inputs. The algorithm is fully distributed in the sense that the control input for each agent is independent of any global information of the communication graph and is solely based on local relative output information from its neighborhood set. The approximating structures, e.g., neural networks or fuzzy systems, and the command filters that are typically incorporated to avoid the need for analytical derivatives in the backstepping design are not employed here, resulting in a low-complexity design. Simulation results are included to verify the algorithm.
Year
DOI
Venue
2020
10.1109/TSMC.2017.2759305
IEEE Transactions on Systems, Man, and Cybernetics
Keywords
Field
DocType
Multi-agent systems,Decentralized control,Nonlinear systems,Eigenvalues and eigenfunctions,Convergence,Laplace equations,Steady-state
Dead zone,Mathematical optimization,Nonlinear system,Control theory,Multi-agent system,Mathematics
Journal
Volume
Issue
ISSN
50
2
2168-2216
Citations 
PageRank 
References 
2
0.36
0
Authors
3
Name
Order
Citations
PageRank
gang wang1576.61
Chaoli Wang25811.04
Lin Li332379.92