000			02043 a2200205 4500
005			20200107130600.0
008			200107b xxu||||| |||| 00| 0 eng d
020			_a9781119119548
040			_cIIT Kanpur
041			_aeng
082			_a629.8 _bX4p
100			_aXi, Yugeng
245			_aPredictive control _bfundamentals and developments _cYugeng Xi and Dewei Li
260			_bWiley _c2019 _aNew Jersey
300			_axiii, 377p
520			_aThis book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed. Systematically introduces fundamental concepts, basic algorithms, and applications of MPC Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches Features numerous MPC models and structures, based on rigorous research Based on the best-selling Chinese edition, which is a key text in China Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology.
650			_aPredictive control
700			_aLi, Dewei
942			_cBK
999			_c561103 _d561103