Fault Tolerant Control And Circuit Implementation Of Multi-agent System Based On Adaptive Technology

Multi-agent system(MAS)is a complex system composed of multiple interactive single agents.Its goal is to build large complex systems into small systems that are easy to manage.These systems can communicate and coordinate with each other.MAS can solve the problem that a single agent or a single system is difficult or impossible to solve,and its application is all-inclusive,and the research on intelligent control technology of multi-agent has been paid more and more attention.Therefore,further research and innovation of multi-agent is very necessary,which is the significance of this research.This dissertation focuses on a class of multi-agent systems with uncertainties of systems and controllers and partial actuator failures or offset failures.Consistent faulttolerant control and circuit implementation of multi-agent systems are studied by using adaptive method.Because the relevant fault information,system uncertainties and external disturbances are unknown,based on Lyapunov stability theory,a control scheme using adaptive technology is proposed to estimate the bounds of these faults,disturbances and uncertainties,and an adaptive fault-tolerant control strategy with a certain robustness is constructed by using constantly updated estimation parameters to obtain multi-agent systems.Collaborative consistent tracking results.In addition,on the basis of theory,an adaptive control scheme based on circuit theory is proposed,which combines resistors,operational amplifiers,multipliers,diodes and other basic electronic components.Finally,the intelligent car model is taken as the simulation object,and the simulation results of a class of multi-agent systems with bounded time-varying,actuator faults and external disturbances are given by using MATLAB software simulation and professional circuit simulation tool(MULTISIM).The simulation results can verify the effectiveness of the proposed method.