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...
This book demonstrates state-of-the-art methods for using genetic algorithms and genetic programming in control systems designs. It offers readers pow...
The book discusses human factors integration methodolgy and reviews the issues that underpin consideration of key topics such as human error, automation and human reliability assesment.
The book discusses human factors integration methodolgy and reviews the issues that underpin consideration of key topics such as human error, automati...
Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components controllers, sensors, and actuators in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and...
Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components controllers, sensors, and actuator...
