A reference guide for professionals or text for graduate and postgraduate students, this volume emphasizes practical designs and applications of distributed computer control systems. It demonstrates how to improve plant productivity, enhance product quality, and increase the safety, reliability, and

"This book presents basic principles of geometric modelling while featuring contemporary industrial case studies"--Provided by publisher.

Techniques such as dead time compensation, adaptive control and Kalman filtering have been around for some time, but as yet find little application in industry. This is due to several reasons, including: Articles in the literature usually assume that the reader is familiar with a specific topic and are therefore often difficult for the practicing control engineer to comprehend. Many practicing control engineers in the process industry have a chemical engineering background and did not receive a control engineering education. There is a wide gap between theory and practical implementation, since implementation is primarily concerned with robustness, and theory is not. The user therefore has to build an "expert shell" in order to achieve the desired robustness. Little is published on this issue, however. This book tries to promote the use of advanced control techniques by taking the reader from basic theory to practical implementation. It is therefore of interest to practicing control engineers in various types of industries, especially the process industry. Graduate and undergraduate students in control engineering will also find the book extremely useful since many practical details are given which are usually omitted in books on control engineering. Of special interest are the simulation examples, illustrating the application of various control techniques. The examples are available on a 5-1/4" floppy disk and can be used by anyone who has access to LOTUS 1-2-3. Chapter 1 is the introduction; Chapters 2 through 6 deal with distributed control system networks, computer system software, computer system selection, reliability and security, and batch and continuous control. Chapter 7 gives and introduction to advanced control. Chapters 8 through 11 deal with dead time compensation techniques and model identification. Chapters 12 through 14 discuss constraint control and design, and the adjustment and application of simple process models and optimization. Chapter 15 gives a thorough introduction to adaptive control, and the last two chapters deal with state and parameter estimation. This book is a valuable tool for everyone who realizes the importance of advanced control in achieving improved plant performance. It will take the reader from theory to practical implementation.

The control of manufacturing operations is of crucial importance in industry. The correct regulation of manufacturing activities makes the difference between meeting and missing customer requirements. Nowadays computerised solutions are available as an aid to production management. However, many companies proceed to use sophisticated computer tools without first understanding the basic operating principles. This book is written for students of manufacturing systems as well as people in industry who need a concise explanation of the concepts of Computer Aided Production Management (CAPM) or who may be looking for new ideas.

Describes the structure of computer control schemes as used in the process industries. Covers the techniques used to design the control algorithm; considers the requirements for computer & computer programming languages used in implementing real-time computer control schemes. Includes case studies describing applications in various industries.

With the approach of the 21st century, and the current trends in manufacturing, the role of computer-controlled flexible manufacturing an integral part in the success of manufacturing enterprises. will take Manufacturing environments are changing to small batch (with batch sizes diminishing to a quantity of one), larger product variety, produc tion on demand with low lead times, with the ability to be 'agile.' This is in stark contrast to conventional manufacturing which has relied on economies of scale, and where change is viewed as a disruption and is therefore detrimental to production. Computer integrated manufac turing (CIM) and flexible manufacturing practices are a key component in the transition from conventional manufacturing to the 'new' manu facturing environment. While the use of computers in manufacturing, from controlling indi vidual machines (NC, Robots, AGVs etc.) to controlling flexible manu facturing systems (FMS) has advanced the flexibility of manufacturing environments, it is still far from reaching its full potential in the environment of the future. Great strides have been made in individual technologies and control of FMS has been the subject of considerable research, but computerized shop floor control is not nearly as flexible or integrated as hyped in industrial and academic literature. In fact, the integrated systems have lagged far behind what could be achieved with existing technology.

Techniques such as dead time compensation, adaptive control and Kalman filtering have been around for some time, but as yet find little application in industry. This is due to several reasons, including: Articles in the literature usually assume that the reader is familiar with a specific topic and are therefore often difficult for the practicing control engineer to comprehend. Many practicing control engineers in the process industry have a chemical engineering background and did not receive a control engineering education. There is a wide gap between theory and practical implementation, since implementation is primarily concerned with robustness, and theory is not. The user therefore has to build an "expert shell" in order to achieve the desired robustness. Little is published on this issue, however. This book tries to promote the use of advanced control techniques by taking the reader from basic theory to practical implementation. It is therefore of interest to practicing control engineers in various types of industries, especially the process industry. Graduate and undergraduate students in control engineering will also find the book extremely useful since many practical details are given which are usually omitted in books on control engineering. Of special interest are the simulation examples, illustrating the application of various control techniques. The examples are available on a 5-1/4" floppy disk and can be used by anyone who has access to LOTUS 1-2-3. Chapter 1 is the introduction; Chapters 2 through 6 deal with distributed control system networks, computer system software, computer system selection, reliability and security, and batch and continuous control. Chapter 7 gives and introduction to advanced control. Chapters 8 through 11 deal with dead time compensation techniques and model identification. Chapters 12 through 14 discuss constraint control and design, and the adjustment and application of simple process models and optimization. Chapter 15 gives a thorough introduction to adaptive control, and the last two chapters deal with state and parameter estimation. This book is a valuable tool for everyone who realizes the importance of advanced control in achieving improved plant performance. It will take the reader from theory to practical implementation.