Model Predictive Control System Design and Implementation Using MATLAB® eBook

Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.

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.

This is a digital product.

Model Predictive Control System Design and Implementation Using MATLAB® is written by Liuping Wang and published by Springer. The Digital and eTextbook ISBNs for Model Predictive Control System Design and Implementation Using MATLAB® are 9781848823310, 1848823312 and the print ISBNs are 9781848823303, 1848823304.