Receding Horizon Predictive Control introduces essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHe has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric change than infinite horizon control; better tracking than PID; and good constraint handling among others. The text builds understanding starting with optimal control for simple ...
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Receding Horizon Predictive Control introduces essentials of a successful feedback strategy that has emerged in many industrial fields: the process industries in particular. Receding horizon control (RHe has a number of advantages over other types of control: easier computation than steady-state optimal control; greater adaptability to parametric change than infinite horizon control; better tracking than PID; and good constraint handling among others. The text builds understanding starting with optimal control for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems in order to avoid too much mathematical detail and its diverse techniques are unified using the state-space paradigm. Worked examples and exercises throughout the book allow you to practise as you go and MATLABB. files for the solution of selected examples can be downloaded from springeronline.com. Graduate students following masters and doctoral courses in control theory and engineering will find Receding Horizon Predictive Control to be an excellent companion to tuition and research. Tutors and academics researching predictive control can use this not only as a scholarly textbook by a leading control engineer but as a co-ordinated reference for its wide range of RHC methods.
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