Kevin Warwick is Professor of Cybernetics and Head of the Department of Cybernetics, University of Reading. He has previously held appointments at Warwick University, Oxford University, Imperial College, London and Newcastle University as well as being employed by British Telecom for six years. Professor Warwick is a Chartered Engineer and serves on the Artificial Intelligence professional group committee of the IEE, previously acting as chairman for the Control and Systems Theory committee. He is a series editor for the IEE with regard to control engineering books and edited the book 'Implementation of Self-tuning Controllers', which is a volume in the same series. He has published over seventy papers in the areas of his research interests which include system identification, adaptive control and state-space design. The main thrust of his present research lies in the field of intelligent control systems, with particular emphasis on high performance environments, such as sensor based robot control and autonomous vehicles.David Rees has been a Principal Lecturer in Control Engineering in the Department of Electrical and Electronic Engineering at the Polytechnic of Wales since 1978. He gained the degree of B.Sc. with first class honours in Electrical Engineering from University College, Swansea in 1967, and a Ph.D. in Signal Processing applied to composite frequency testing, awarded by the Council of National Academic Awards in 1976. His industrial experience includes five years with British Steel and two years with Imperial Chemical Industries, during which period he developed computer systems for controlling larger chemical complexes and system models of chemical processes. He is a fellow of the IEE. He has published numerous papers in the fields of system identification, automatic testing and digital control. His current research interests include nonlinear system identification using composite frequencies, discrete controller implementation using novel architectures and adaptive control.

• Chapter 1: Introduction to digital controlChapter 2: Digital signals and systemsChapter 3: Digital controllers for process control applicationsChapter 4: Design of digital controllersChapter 5: State-space conceptsChapter 6: System identificationChapter 7: Adaptive controlChapter 8: An introduction to multivariable controlChapter 9: Optimal controlChapter 10: Robot dynamic control techniquesChapter 11: Computer aided design for industrial control systemsChapter 12: Reliability and redundancy in microprocessor controllersChapter 13: Parallel processing in controlChapter 14: Applications of distributed digital control algorithms to power stationsChapter 15: Artificial intelligence for process regulation and servo controlChapter 16: Microcomputer control - Case study IChapter 17: A comparison of DDC algorithms - Case study IIChapter 18: Controller implementation using novel processors - Case study IIIChapter 19: Optimal control - An aerospace application - Case study IVChapter 20: A practical application of self-tuning control - Case study VChapter 21: Computer aided control system design - Case study VI

Kevin Warwick is Professor of Cybernetics and Head of the Department of Cybernetics, University of Reading. He has previously held appointments at Warwick University, Oxford University, Imperial College, London and Newcastle University as well as being employed by British Telecom for six years. Professor Warwick is a Chartered Engineer and serves on the Artificial Intelligence professional group committee of the IEE, previously acting as chairman for the Control and Systems Theory committee. He is a series editor for the IEE with regard to control engineering books and edited the book 'Implementation of Self-tuning Controllers', which is a volume in the same series. He has published over seventy papers in the areas of his research interests which include system identification, adaptive control and state-space design. The main thrust of his present research lies in the field of intelligent control systems, with particular emphasis on high performance environments, such as sensor based robot control and autonomous vehicles.David Rees has been a Principal Lecturer in Control Engineering in the Department of Electrical and Electronic Engineering at the Polytechnic of Wales since 1978. He gained the degree of B.Sc. with first class honours in Electrical Engineering from University College, Swansea in 1967, and a Ph.D. in Signal Processing applied to composite frequency testing, awarded by the Council of National Academic Awards in 1976. His industrial experience includes five years with British Steel and two years with Imperial Chemical Industries, during which period he developed computer systems for controlling larger chemical complexes and system models of chemical processes. He is a fellow of the IEE. He has published numerous papers in the fields of system identification, automatic testing and digital control. His current research interests include nonlinear system identification using composite frequencies, discrete controller implementation using novel architectures and adaptive control.

• Chapter 1: Introduction to digital controlChapter 2: Digital signals and systemsChapter 3: Digital controllers for process control applicationsChapter 4: Design of digital controllersChapter 5: State-space conceptsChapter 6: System identificationChapter 7: Adaptive controlChapter 8: An introduction to multivariable controlChapter 9: Optimal controlChapter 10: Robot dynamic control techniquesChapter 11: Computer aided design for industrial control systemsChapter 12: Reliability and redundancy in microprocessor controllersChapter 13: Parallel processing in controlChapter 14: Applications of distributed digital control algorithms to power stationsChapter 15: Artificial intelligence for process regulation and servo controlChapter 16: Microcomputer control - Case study IChapter 17: A comparison of DDC algorithms - Case study IIChapter 18: Controller implementation using novel processors - Case study IIIChapter 19: Optimal control - An aerospace application - Case study IVChapter 20: A practical application of self-tuning control - Case study VChapter 21: Computer aided control system design - Case study VI

Kevin Warwick is Professor of Cybernetics and Head of the Department of Cybernetics, University of Reading. He has previously held appointments at Warwick University, Oxford University, Imperial College, London and Newcastle University as well as being employed by British Telecom for six years. Professor Warwick is a Chartered Engineer and serves on the Artificial Intelligence professional group committee of the IEE, previously acting as chairman for the Control and Systems Theory committee. He is a series editor for the IEE with regard to control engineering books and edited the book 'Implementation of Self-tuning Controllers', which is a volume in the same series. He has published over seventy papers in the areas of his research interests which include system identification, adaptive control and state-space design. The main thrust of his present research lies in the field of intelligent control systems, with particular emphasis on high performance environments, such as sensor based robot control and autonomous vehicles.David Rees has been a Principal Lecturer in Control Engineering in the Department of Electrical and Electronic Engineering at the Polytechnic of Wales since 1978. He gained the degree of B.Sc. with first class honours in Electrical Engineering from University College, Swansea in 1967, and a Ph.D. in Signal Processing applied to composite frequency testing, awarded by the Council of National Academic Awards in 1976. His industrial experience includes five years with British Steel and two years with Imperial Chemical Industries, during which period he developed computer systems for controlling larger chemical complexes and system models of chemical processes. He is a fellow of the IEE. He has published numerous papers in the fields of system identification, automatic testing and digital control. His current research interests include nonlinear system identification using composite frequencies, discrete controller implementation using novel architectures and adaptive control.

• Chapter 1: Introduction to digital controlChapter 2: Digital signals and systemsChapter 3: Digital controllers for process control applicationsChapter 4: Design of digital controllersChapter 5: State-space conceptsChapter 6: System identificationChapter 7: Adaptive controlChapter 8: An introduction to multivariable controlChapter 9: Optimal controlChapter 10: Robot dynamic control techniquesChapter 11: Computer aided design for industrial control systemsChapter 12: Reliability and redundancy in microprocessor controllersChapter 13: Parallel processing in controlChapter 14: Applications of distributed digital control algorithms to power stationsChapter 15: Artificial intelligence for process regulation and servo controlChapter 16: Microcomputer control - Case study IChapter 17: A comparison of DDC algorithms - Case study IIChapter 18: Controller implementation using novel processors - Case study IIIChapter 19: Optimal control - An aerospace application - Case study IVChapter 20: A practical application of self-tuning control - Case study VChapter 21: Computer aided control system design - Case study VI