Computational Intelligence in Control Engineering (Control Engineering (Marcel Dekker), 2)

Presenting the theoretical and practical developments of an autonomous decision-making methodology, this work describes the strides made by intelligent systems and soft computing for the control of industrial systems. It uses practical examples of qualitative control techniques tested in industry and provides suitable intelligent computational algorithms and interfaces for industrial applications. This reference/text describes the tremendous strides made by intelligent systems and soft computing for the control of industrial systems - presenting the theoretical and practical development of an autonomous decision-making methodology. Containing a case study of fuzzy controller design using MATLAB, Computational Intelligence in Control Engineering serves as an essential reference for electrical and electronics, mechanical, chemical, aeronautical, industrial, manufacturing, computer, production, and process engineers; computer scientists and applied physicists; and quality control experts; and as an ideal text for undergraduate and graduate students in these disciplines. Modern control theory, which has contributed so significantly to the exploration and conquest of space, has not had similar success in solving the control problems of industry and manufacturing.