Sliding mode fuzzy gain scheduling in sampled data nonlinear systems

In this paper we propose a design methodology that integrates sliding mode control, fuzzy control and gain scheduling, in an original and innovative manner, through the perspective of sampled data systems. We have called the technique sliding mode fuzzy gain scheduling, The synthesis procedure systematically yields a control law. The results obtained demonstrate that this approach satisfactorily solves the problem of transition between the operating conditions of a sampled data nonlinear dynamic system.