Receding Horizon Control [electronic resource] : Model Predictive Control for State Models / by Wook Hyun Kwon, Soohee Han.

By: Kwon, Wook Hyun [author.]Contributor(s): Han, Soohee [author.] | SpringerLink (Online service)Material type: TextTextLanguage: English Series: Advanced Textbooks in Control and Signal Processing: Publisher: London : Springer London, 2005Description: XIV, 380p. 51 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781846280177Subject(s): Engineering | Chemical engineering | Systems theory | Mechanical engineering | Industrial engineering | Engineering | Control Engineering | Electronic and Computer Engineering | Systems Theory, Control | Industrial Chemistry/Chemical Engineering | Mechanical Engineering | Industrial and Production EngineeringAdditional physical formats: Printed edition:: No titleOnline resources: Click here to access online
Contents:
Optimal Controls on Finite and Infinite Horizons: A Review -- State Feedback Receding Horizon Controls -- Receding Horizon Filters -- Output Feedback Receding Horizon Controls -- Constrained Receding Horizon Controls -- Nonlinear Receding Horizon Controls.
In: Springer eBooksSummary: 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. The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go and MATLAB® 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 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.
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Optimal Controls on Finite and Infinite Horizons: A Review -- State Feedback Receding Horizon Controls -- Receding Horizon Filters -- Output Feedback Receding Horizon Controls -- Constrained Receding Horizon Controls -- Nonlinear Receding Horizon Controls.

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. The text builds understanding starting with optimal controls for simple linear systems and working through constrained systems to nonlinear cases. RHC is applied to discrete-time systems for better understanding and easier computer application. Its diverse techniques are unified using the state-space framework. Worked examples and exercises throughout the book allow you to practise as you go and MATLAB® 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 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.

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