JOURNAL ARTICLE

Observer-Based Robust Containment Control of Multi-agent Systems With Input Saturation

Abstract

In this paper, the robust containment control problem of the leader-following multi-agent systems with input saturation and input additive disturbance is addressed, where the followers can be informed by multiple leaders. With the help of the lowand-high gain feedback technique and the high-gain observer approach, a distributed control algorithm for each agent is firstly designed by using the observed output information, then sufficient conditions are provided to guarantee the semi-global robust containment of the system. Finally, some numerical simulations are given to verify the correctness of the theoretical results.

Keywords:
Containment (computer programming) Correctness Control theory (sociology) Computer science Saturation (graph theory) Observer (physics) Robustness (evolution) A priori and a posteriori Multi-agent system Robust control Control (management) Control system Algorithm Engineering Mathematics Artificial intelligence

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Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Mathematical and Theoretical Epidemiology and Ecology Models
Health Sciences →  Medicine →  Public Health, Environmental and Occupational Health

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