This book demonstrates state-of-the-art methods for using genetic algorithms and genetic programming in control systems designs. It offers readers powerful new tools for the design of robust control systems, optimal disturbance rejection controllers, and predictive and variable structure control. It also shows how to augment genetic algorithms and programming with fuzzy logic to design intelligent hybrid control systems. The authors consider a variety of applications, such as the robotic manipulators, flexible links and jet engines, and they use a gasification plant case study to illustrate a...