The progress of industrial applications of fuzzy logic controllers (FLCs) for high performance control of complex, non-linear, time-varying processes, sets demands for their design – to be laid on theoretical grounds, to be general and simple, to bind together system robustness, stability and performance in the design objective as a guarantee for practical feasibility. The aim of this investiga...

A robust tracking control design for wheeled vehicle systems with trailer, based on adaptive fuzzy elimination technique, is proposed in this study. A minimax control equipped with adaptive fuzzy elimination scheme is used to achieve a robust tracking performance, despite the system uncertainties and external disturbance. The design procedure is divided into three steps. First, a nominal wheele...

A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...