Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which...

Parallel Processing in Digital Control is a volume to be published in the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The growing complexity of digital control systems in such areas as robotics, flight control and engine control has created a demand for faster and more reliable systems. This book examines how parallel processing can satisfy these requirements. Following a survey of parallel computer architectures, MIMD (Multiple Instruction Multiple Data) machines are...

Parallel Processing Applications for Jet Engine Control is a volume in the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The book describes the mapping and load balancing of gas turbine engine and controller simulations onto arrays of transputers. It compares the operating system for transputers and the Uniform System upon the Butterfly Plus computer. The problem of applying formal methods to parallel asychronous processors is addressed, implementing novel fault tolerant...

Intelligent Seam Tracking for Robotic Welding is part of the Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. This publication discusses in depth the development of a seam tracking system for robotic welding. Various topics are covered including the theory of seam tracking, details of the sub-systems comprising the intelligent seam tracker and the operation of the seam tracking system with coordinated interaction amongst the various sub-systems. The sources of various seam...

Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully...

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, applications, philosophies, . . ., new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all...

It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. The volume editor has drawn together a number of industrial case studies where Generic Model Control has been successfully applied. Each case study is documented and described in detail. Nonlinear Process Control will be of particular interest to industrial practitioners. It provides a tutorial introduction to Generic Model Control and assists them in applying modern control methods to their processes.

Due to the complexity of the process operation and the requirements for high quality, low cost, safety and the protection of the environment, an increasing number of pulp and paper companies are in need of an advanced control technology to improve their process operation.
This publication presents, for the first time, the theory of such an advanced control technology as well as various industrial applications associated especially with Paper Making. The reader will gain a better understanding of the most popular and advanced process control techniques and applications of these techniques...

Successful multivariable control system design demands knowledge, skill and creativity of the designer. Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to concentrate more on the creativity aspect of the design. This publication investigates the contribution which artificial intelligence can make to multivariable control system design. It covers all the research, design, development and testing aspects of creating the expert system. The approach is a...

Manual flight control system design for fighter aircraft is one of the most demanding problems in automatic control. Fighter aircraft dynamics generally have highly coupled uncertain and nonlinear dynamics. Multivariable control design techniques offer a solution to this problem. Robust Multivariable Flight Control provides the background, theory and examples for full envelope manual flight control system design. It gives a versatile framework for the application of advanced multivariable control theory to aircraft control problems. Two design case studies are presented...