Novel Fuzzy Preview Control With Granular Computing for Underactuated Systems

Abstract

This chapter provides an elaborate discussion on the use of fuzzy preview control designed with the help of look up tables and granular computing for the studies on under actuated systems which are dynamic systems which have lesser degrees of freedom than the actuating input signals. It is an important design consideration for most systems to be categorized under this section which makes them the essential component for analysis. The chapter provides an in depth analysis taking the case studies of various control system test beds such as the family of the inverted pendulum systems which make the prototype models for validation before applying the developed logic to control of high end complex dynamic systems in terms of stability, robustness, speed of operation and more importantly to see the fuzzy structure that controls these systems in terms of lookup tables.