The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new 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 aspects of industrial control for widerand rapid dissemination. Benchmarking is a technique first applied by Rank Xerox in the late 1970s for business processes. As a subject in the commercial arena, benchmarking thrives with, for example, a European Benchmarking Forum. It has taken rather longer for benchmarking to make the transfer to the technical domain and even now the subject is making a slow headway. Akey research step in this direction was taken by Harris (1989) who used minimum variance control as a benchmark for controller loop assessment. This contribution opened up the area and a significant specialist literature has now developed. Significant support for the methodologywas given by Honeywell who have controller assessment routines in their process control applications software; therefore, it is timely to welcome a (first) monograph on controller performance assessment by Biao Huang and Sirish Shah to the Advances in Industrial Control series.

A new area which is attracting much attention from process control and industrial engineers These techniques have already been evaluated with much success in industry This state-of-the-art research material has recently been published in peer-reviewed international journals and is also available as software for industry

Autorentext

Biao Huang is a professor and researcher in the area of subspace identification, predictive control, and control performance monitoring with 20-years' worth of experience in this field. He has received numerous awards for his contributions in these areas including Germany's Alexander von Humboldt Research Fellowship award, the Canadian Chemical Engineering Society's Syncrude Canada Innovation Award, the University of Alberta's McCalla Professorship award, and Petro-Canada Young Innovator Award, and recipient of the best paper award for Journal of Process Control. Internationally, Professor Huang is recognised as a leading expert in control-loop performance monitoring, his contributions in this area including Performance Assessment of Control Loops (1-85233-639-0). He has applied his expertise extensively in industrial practice particularly in the oil sands industry. His research contributions in control performance monitoring have enjoyed wide application in the chemical, petrochemical, oil and gas, mineral processing, and pulp and paper industries throughout the world. Professor Huang has also been actively involved in research activities in system identification, particularly in subspace identification. He has served on a number of national and international engineering and science communities including, Chair of CSChE's System and Control Division, Associate Editor of CJChE, and Area Co-chair for IFAC ADCHEM and IFAC DYCOPS. Since 1997 Biao Huang has published over 100 refereed papers in international journals and conference proceedings. He has been invited to speak in a number of institutions as well as workshops worldwide including, most recently, an invited speech representing academia in the Round Table on Asset Management and the Round Table on Nonlinear System Identification, in the International Workshop on Solving Industrial Control and Optimization Problems, Cramado, Brazil, 6th - 7th April 2006. Dr. Ramesh Kadali iscurrently a practising process control engineer in Sunco Inc. Canada and has extensive experiences in applying system identification, model predictive control, and control performance monitoring in real industrial processes. His PhD research was on the data-driven subspace approach to predictive control design and performance analysis.

Inhalt

1. Introduction.- 2. Feedback Controller Performance Assessment of Univariate Processes.- 3. Multivariate Processes: Preliminaries.- 4. Unitary Interact or Matrices and Minimum Variance Contro.- 5. Estimation of the Unitary Interactor Matrices.- 6. Feedback Controller Performance Assessment: Simple Interactor.- 7. Feedback Controller Performance Assessment: Diagonal Interactor.- 8. Feedback Controller Performance Assessment: General Interactor.- 9. Feedforward & Feedback Controller Performance Assessment.- 10. Performance Assessment of Nonminimum Phase Systems.- 11. A Unified Approach to Performance Assessment.- 12. Performance Assessment: User-specified Benchmark.- 13. Performance Assessment: LQG Benchmark.- 14. Control Loop Performance Monitoring via Model Validation.- 15. Closed-loop Identification.- 16. Practical Considerations and Industrial Case Studies.- Appendices.- References.