Study On Bionic Hybrid Adaptive Fuzzy Control Method Based On Nonlinear Systems

The stability of nonlinear uncertain systems is one of the problems frequently encountered in the process of human industrial production.Theoretical analysis and practical application have great importance to the study of nonlinear fuzzy systems.The dead zone problems are unavoidable in the study of nonlinear systems,and the nonlinear characteristics have a certain impact on the actual research,so the control method of nonlinear system with dead zone input has became a focus in recent years.In the beginning,the bionic fuzzy system embeds the biologically active adaptive strategy into the traditional T-S fuzzy system,which increases the active adaptability.On the basis of the researches,an identification model is added to the system,and a hybrid bionic adaptive fuzzy control method is proposed and the adaptive laws are given,which makes system have biological adaptability and strong anti-interference ability.Then,a hybrid adaptive fuzzy control method based on bionics for a class of unknown nonlinear MIMO systems is proposed.,with the robust control term is added on the basis of the traditional hybrid adaptive control.Finally,For a class of highly complex nonlinear MIMO systems with dead zone input,hybrid adaptive bionic fuzzy control method is proposed in this paper.The bionic adaptive law contains two items,the first one is the general term for adjusting the system parameters by using the current state of the system,the second item is a compensation item for the adjustment of the system parameters based on the development trend of the system.This method added the intelligent characteristics of the system,and the makes the system has higher anti-interference.Lyapunov synthetic method used to analyze the stability and convergence of the system,and the parameter constraints of system are given.Finally,the strong anti-interference of system are verified by the simulation.