This fully revised and updated edition of Control Theory: a guided tour addresses recent developments in the field. It discusses how the rise of H∞ and similar approaches has allowed a combination of practicality, rigour and user interaction to be brought to bear on complex control problems and has helped bridge the gap between control theory and practice. The book also examines the effects of the rise of artificial intelligence techniques and the increasing availability of comprehensive software packages.
The book concentrates on the structure, principles and context of control theory, and will be of interests to students and professionals alike.
Students of science, computing, mathematics and management. Professionals in a wide variety of industries who wish to understand the fundamentals and potential of control
Students and engineers working at any level in control engineering
Introduction to Second Edition. Control Concepts: A Non-Mathematical Introduction. Control Design Ideas: A Non-Mathematical Treatment. Synthesis of Automatic Feedback Control Loops: A More Quantitative View. How the Laplance Transform Greatly Simplifies System Representation and Manipulation. Frequency Response Methods. Mathematical Modelling. Limits to Performance. Some Practical Aspects of Control Design, Justification and Implementation. Linearisation. Multivariable Linear Processes. Discrete Time and Computer Control.
State Estimation: The Kalman Filter and Prediction. Nonlinearity. Optimisation. Distributed Systems Introduction to Robust Control Design Using Hoo Methods. Neural Networks, Fuzzy Logic, Genetic Algorithms, Learning Systems, Intelligent Systems. Review - The Development of Control Theory and the Emergence of Artificial Intelligence (AI) Techniques. Reference and Further Reading.