Model Predictive Control System Design and Implementation Using MATLAB¬ proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters.
After the theoretical presentation, coverage is given to three industrial applications. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained.
The technical contents of this book is mainly based on advances in MPC using state-space models and basis functions. This volume includes numerous analytical examples and problems and MATLAB¬ programs and exercises.
| ISBN: | 9781848823303 |
| Publication date: | 4th March 2009 |
| Author: | Liuping Wang |
| Publisher: | Springer an imprint of Springer London |
| Format: | Hardback |
| Pagination: | 375 pages |
| Series: | Advances in Industrial Control |
| Genres: |
Automatic control engineering Computer-aided design (CAD) Maths for engineers Industrial chemistry and chemical engineering Production and industrial engineering Electrical engineering |
Model Predictive Control System Design and Implementation Using MATLAB¬ proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: - continuous- and discrete-time MPC problems solved in similar design frameworks; - a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and - a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, coverage is given to three industrial applications.
Model Predictive Control System Design and Implementation Using MATLAB features in the following genres: Automatic control engineering, Computer-aided design (CAD), Maths for engineers, Industrial chemistry and chemical engineering, Production and industrial engineering, Electrical engineering
Hardback. £143.99, down from the £159.99 cover price. Not Available.
Model Predictive Control System Design and Implementation Using MATLAB was written by Liuping Wang and published by Springer an imprint of Springer London
Model Predictive Control System Design and Implementation Using MATLAB has 375 pages
Yes it is part of Advances in Industrial Control series
£143.99, reduced from £159.99. Not Available.