Dec 1, 2008 - DECEMBER 2008 â¡ IEEE INDUSTRIAL ELECTRONICS MAGAZINE 1. Book News. Industrial Control Technology. A. Handbook for Engineers.
Industrial Control Industrial Control Technology. A Handbook for Engineers and Researchers By Peng Zhang, William Andrew Inc., Norwich, NY, USA, 2008, Hardcover, 865 pages, ISBN 13: 978-0-8155-1571-5.
he new handbook by Dr. Peng Zhang, from Beijing Normal University, China, covers the main problems related to industrial control and automation technology. The handbook consists of following chapters: 1) Sensors and Actuators for Industrial Control (180 pages), 2) Computer Hardware for Industrial Control (68 pages), 3) System Interface for Industrial Control (161 pages), 4) Digital Controllers for Industrial Control (135 pages), 5) Application Software for Industrial Control (98 pages), 6) Data Communications in Distributed Control System (95 pages), 7) System Routines in Industrial Control (74 pages). In contrast to other related handbooks , , where the description of technical material is in the form of tutorials, technology, and overviews written by different industry and academic experts, Industrial Control Technology is presented by a single Digital Object Identifier 10.1109/MIE.2008.930340
author. The text includes typically basic principles, specifications, and applications areas. Also, the most important standards (when applied, for example, SCADA protocols) are cited. An important and unique value of the book are the references presented separately in each chapter. Most of these references give direct address to the Web sites with industry technical manuals, introductory, or demonstrational materials. This is very convenient and I do not hesitate to recommend this new and attractive handbook to a wide audience of engineering educators, students, and engineers in industry who are interested in modern industrial control and automation technologies. —Marian P. Kazmierkowski
 R. Zurawski, The Industrial Information Technology Handbook. Boca Raton: CRC, 2005.  W.S. Levine, Ed., The Control Handbook. Boca Raton, FL: CRC, 1996.
Advanced Control of Industrial Processes: Structures and Algorithms By Piotr Tatjewski, Series Advances in Industrial Control, Springer-Verlag London Group, 2007, Hardcover, 332 pages, ISBN 13: 978-1-84628-634-6, ISBN 10: 1-84628634-4. Digital Object Identifier 10.1109/MIE.2008.930341
dvanced Control of Industrial Processes: Structures and Algorithms, authored by Prof. Piotr Tatjewski, from Warsaw University of Technology, Poland, consists of the following four chapters: 1) Multilayer Control Structure (28 pages) 2) Model-Based Fuzzy Control (70 pages) 3) Model-Based Predictive Control (155 pages) 4) Set-Point Optimization (41 pages). Also supplied are a notation, references, and index. This book has also appeared in Springer’s Series on Advances in Industrial Control, with Professors Michael J. Grimble and Michael A. Johnson from the University of Strathclyde, Glasgow, U.K. as editors. This exemplary monograph offers two chapters that review and extend the original concepts of the multilayer hierarchical control structure  and two chapters that introduce the control algorithms of model fuzzy control and model predictive control. These algorithms are used at the different levels and achieve different objectives within the hierarchical control structure. The model predictive control (MPC) tool facilities optimization whereas fuzzy control may be viewed as a loop controller model used to achieve good nonlinear process control performance in the direct control layer of the hierarchical structure. The monograph is written with excellent care given to the steps of review, exposition, and relevant industrial examples.
DECEMBER 2008 n IEEE INDUSTRIAL ELECTRONICS MAGAZINE
Other important features of this book are: ■■ the development and discussion of a multilayer control structure ■■ a systematic presentation and stability analysis of fuzzy feedback control algorithms in Takagi-Sugeno scheme for state-space and input-output models, in discrete and continuous time, presented as natural generalizations of wellknown linear control laws [like the proportional–integral–derivative (PID) law] to the nonlinear case ■■ the development of computationally effective MPC structures for nonlinear process models, utilizing online model linearization and fuzzy rules ■■ the widely presented subject of online set-point improvement and optimization, together with iterative algorithms capable of coping with uncertainty in process models and disturbance estimates ■■ numerous illustrations of the methodologies and algorithms by worked examples in the text. Advanced Control of Industrial Processes includes recent research results mainly concerned with nonlinear advanced feedback control and set-point optimization. It is addressed to readers interested in the important basic mechanisms of advanced control, including engineers and practitioners, as well as research staff and postgraduate students —Marian P. Kazmierkowski
 W. Findeisen, F.N. Bailey, M. Brdys, K. Malinowski, P. Tatjewski, and A. Wozniak, Control and Coordination in Hierarchical Systems. New York: Wiley, 1980.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE n DECEMBER 2008