Distributed Adaptive Control of Diffusion System Based on Multi-agents

This paper addresses the problem of adaptive stabilization control and consensus control of diffusion system based on mobile multi-agents. Multi-agents triggered by events are integrated into diffusion system using self-measurement and neighbors information. Lyapunov redesign method is used to analyze adaptive feedback gain and consensus gain, and induce every agent trajectory. Then automatic guidance strategy is further enhanced to eliminate local falling problem and potential oscillatory behavior. Numerical simulation results show that overall performance can be achieved with the guidance and control strategy in the case of multiple static disturbances or mobile disturbance.