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Technical Receding Horizon Control: Model Predictive Control for State Models
Posted on 2010-04-15
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Receding Horizon Control introduces the essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHC) has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric changes than infinite horizon control; better tracking than PID and good constraint handling among others.& 8221; Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Control to be an excellent companion to tuition and research. Tutors and academics researching model predictive control can use this not only as a scholarly textbook but as a co-ordinated reference for its wide range of receding horizon schemes. . Table of Contents . 1 Introduction 1 2 Optimal controls on finite and infinite horizons : a review 17 3 State feedback receding horizon controls 83 4 Receding horizon filters 159 5 Output feedback receding horizon controls 217 6 Constrained receding horizon controls 261 7 Nonlinear receding horizon controls 297 A Matrix equality and matrix calculus 323 B System theory 327 C Random variables 335 D Linear matrix inequalities and semidefinite programming 341 E Survey on applications 347 F MATLAB programs 349 . .
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