Advances in multiple models based adaptive switching control: From conventional to intelligent approaches

Abstract

The scope of this chapter is to trace the recent developments in the field of Intelligent Multiple Models based Adaptive Switching Control (IMMASC) and provide at the same time all the essential information about the conventional single model and multiple models adaptive control, which constitute the base for the development of the new intelligent methods. This work emphasizes on the importance and the advantages of IMMASC in the field of control systems technology presenting control structures that contain linear robust models, neural models and T-S (Takagi-Sugeno) fuzzy models. One of the main advantages of switching control systems against the single model control architectures is that they are able to provide stability and improved performance in multiple environments when the systems to be controlled have unknown parameters or highly uncertain parameters. Some hybrid multiple models control architectures are presented and a numerical example is given in order to illustrate the efficiency of the intelligent methods.