Interconnected backlash inverse compensation in neural decentralized control for switched nonlinear systems

摘要

In the study, a tracking control method is addressed when switched interconnected systems are subjected to backlash nonlinearities. For one inequality with multiple smooth inverse models, it is not clear how to establish the boundedness of system states. In order to remove above restriction, a novel interconnected smooth inverse compensator is presented. Then, combined the proposed inverse model with common Lyapunov method, a new adaptive neural decentralized controller is presented to assure stability of system. Eventually, availability of developed control approach can be proven by the examples.