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03466nam a22005655i 4500 |
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978-1-84628-017-7 |
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DE-He213 |
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20170124141650.0 |
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cr nn 008mamaa |
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100301s2005 xxk| s |||| 0|eng d |
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|a 9781846280177
|9 978-1-84628-017-7
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|a 10.1007/b136204
|2 doi
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|a Kwon, Wook Hyun.
|e author.
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|a Receding Horizon Control
|h [electronic resource] :
|b Model Predictive Control for State Models /
|c by Wook Hyun Kwon, Soohee Han.
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|a London :
|b Springer London,
|c 2005.
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| 300 |
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|a XIV, 380 p. 51 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Advanced Textbooks in Control and Signal Processing,
|x 1439-2232
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| 505 |
0 |
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|a 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.
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| 520 |
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|a 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. MATLAB® files for the solution of selected examples can be downloaded from http://extras.springer.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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|a Engineering.
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|a Biochemical engineering.
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|a Chemical engineering.
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|a System theory.
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|a Mechanical engineering.
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|a Control engineering.
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|a Electrical engineering.
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|a Engineering.
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|a Control.
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|a Electrical Engineering.
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|a Biochemical Engineering.
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|a Systems Theory, Control.
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|a Industrial Chemistry/Chemical Engineering.
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| 650 |
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|a Mechanical Engineering.
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| 700 |
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|a Han, Soohee.
|e author.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9781846280245
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| 830 |
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|a Advanced Textbooks in Control and Signal Processing,
|x 1439-2232
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/b136204
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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