http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Predictive control in process engineering
Describing the principles and applications of single-input, single-output and multivariable predictive control in a simple and lively manner, this practical book also considers such issues as the handling of on-off control, nonlinearities and decoupling problems. It gives guidelines and methods for reducing the computational demand for real-time applications. With its many numerical examples and several case studies (incl. injection molding machine and waste water treatment) and industrial applications (stripping column, distillation column, furnace) this is invaluable reading for students and engineers who aim to understand and apply predictive control in a wide variety of process engineering application areas.
Introduction to Predictive Control -- Linear SISO Model Descriptions -- Predictive Equations of Linear SISO Models -- Predictive On-Off Control -- Generalized Predictive Control of Linear SISO Processes -- Predictive PID Control Algorithms -- Predictive Control of Multivariable Processes -- Estimation of the Predictive Equations -- Multimodel and Multicontroller Approaches -- GPC of Nonlinear SISO Processes -- Predictive Functional Control -- Case Studies -- Industrial Applications -- Practical Aspects and Future Trends.
by Robert Haber, Ruth Bars, Ulrich Schmitz.
Includes bibliographical references and index.
Weinheim : Wiley-VCH ; Chichester : John Wiley [distributor], 2011