DUBLIN--()--Research and Markets (http://www.researchandmarkets.com/research/2029a2/predictive_control) has announced the addition of John Wiley and Sons Ltd's new book "Predictive Control in Process Engineering: From the Basics to the Applications" to their offering.
“Predictive Control in Process Engineering: From the Basics to the Applications”
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.
Key Topics Covered:
1 Introduction to Predictive Control
2 Linear SISO Model Descriptions
3 Predictive Equations of Linear SISO Models
4 Predictive On-Off Control
5 Generalized Predictive Control of Linear SISO Processes
6 Predictive PID Control Algorithms
7 Predictive Control of Multivariable Processes
8 Estimation of the Predictive Equations
9 Multimodel and Multicontroller Approaches
10 GPC of Nonlinear SISO Processes
11 Predictive Functional Control
12 Case Studies
13 Industrial Applications
14 Practical Aspects and Future Trends
Author:
Robert Haber has studied electrical engineering at the Budapest University of Technology, where he also has received the Ph.D. in control theory. He is currently head of the Laboratory for Process Automation in the Faculty of Process Engineering, Energy and Mechanical Systems at the Cologne University of Applied Sciences.
Ruth Bars graduated at the Electrical Engineering Faculty of the Budapest University of Technology, Hungary, where she has gained also her Ph.D. degree. Currently she is associate professor at the Department of Automation and Applied Informatics at the Budapest University of Technology and Economics.
Ulrich Schmitz studied chemical engineering and plant design at the Cologne University of Applied Sciences. Prior to this he was working as an operator in a petrochemical plant.
For more information visit http://www.researchandmarkets.com/research/2029a2/predictive_control

