A multi-level fuzzy control design for general nonlinear multi-input single-output systems

In this paper, an adaptive fuzzy controller is developed for general multi-input single-output (MISO) nonlinear systems with time-varying characteristics and unknown system uncertainties. The system dynamics is modeled in fuzzy domain and the fuzzy inverse model is automatically constructed, which has the ability of uniquely determining the inverse relationship for each input-output pair. Based on this inverse model, a multi-level fuzzy controller (MLFC) is designed with embedded hierarchical structure for each control variable to compensate for system uncertainties and time-varying parameters. A set of simulation examples are presented to illustrate the effectiveness of the proposed controller for the multivariable systems under various operating conditions.