245 10 |a Predictive control : |b for linear and hybrid systems / |c Francesco Borrelli, University of California, Berkeley, Alberto Bemporad, IMT Institute for Advanced Studies, Manfred Morari, Swiss Federal Institute of Technology (ETH).

520 __ |a "Model predictive control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented comprehensively in this unique book. With a simple, unified approach, and with attention to real-time implementation, it covers predictive control theory including the stability, feasibility, and robustness of MPC controllers. The theory of explicit MPC, where the nonlinear optimal feedback controller can be calculated efficiently, is presented in the context of linear systems with linear constraints, switched linear systems, and, more generally, linear hybrid systems. This book describes the techniques required to design predictive control laws, including algorithms for polyhedral manipulations, mathematical, and multi-parametric programming. Through many examples, the authors show how to validate the theoretical properties and to implement predictive control policies. Examples of the most important algorithms are featured in an accompanying free online; toolbox, so that you can access sample solutions easily"-- |c Provided by publisher.

856 4_ |u http://www.itextbook.cn/f/book/bookDetail?bookId=13e492c8663b44f59168e23456666924 |z An electronic book accessible through the World Wide Web; click to view