Abstract
This study addresses the challenge of decentralized state and fault estimation in Lipschitz nonlinear multi-agent systems. We designed unknown input observers, taking into account both system and output disturbances. In order to establish a local model for each agent, information is gathered from the agent itself and its neighboring agents. Consequently, an agent can robustly estimate not only its own state and faults but also those of its neighboring agents. Conditions for observer design are derived in terms of linear matrix inequalities. Numerical simulations are utilized to illustrate the effectiveness of the proposed approach.
Keywords
Lipschitz continuity
Observer (physics)
Multi-agent system
Nonlinear system
Control theory (sociology)
Computer science
State (computer science)
Fault (geology)
State observer
Mathematics
Control (management)
Artificial intelligence
Algorithm
Subject Areas
Distributed Control Multi-Agent Systems
·Computer Networks and Communications ·Physical Sciences
Adaptive Control of Nonlinear Systems
·Control and Systems Engineering ·Physical Sciences
Fault Detection and Control Systems
·Control and Systems Engineering ·Physical Sciences
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