Model Predictive Control Classical, Robust and Stochastic /

For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical p...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kouvaritakis, Basil (Συγγραφέας), Cannon, Mark (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:Advanced Textbooks in Control and Signal Processing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03928nam a22005535i 4500
001 978-3-319-24853-0
003 DE-He213
005 20170519034037.0
007 cr nn 008mamaa
008 151201s2016 gw | s |||| 0|eng d
020 |a 9783319248530  |9 978-3-319-24853-0 
024 7 |a 10.1007/978-3-319-24853-0  |2 doi 
040 |d GrThAP 
050 4 |a TJ212-225 
072 7 |a TJFM  |2 bicssc 
072 7 |a TEC004000  |2 bisacsh 
082 0 4 |a 629.8  |2 23 
100 1 |a Kouvaritakis, Basil.  |e author. 
245 1 0 |a Model Predictive Control  |h [electronic resource] :  |b Classical, Robust and Stochastic /  |c by Basil Kouvaritakis, Mark Cannon. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XIII, 384 p. 54 illus., 3 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advanced Textbooks in Control and Signal Processing,  |x 1439-2232 
505 0 |a From the Contents: Introduction -- Classical Model Predictive Control -- Robust Model Predictive Control with Additive Uncertainty: Open-loop Optimization Strategies -- Robust Model Predictive Control with Additive Uncertainty: Closed-loop Optimization Strategies. 
520 |a For the first time, a textbook that brings together classical predictive control with treatment of up-to-date robust and stochastic techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The starting point is classical predictive control and the appropriate formulation of performance objectives and constraints to provide guarantees of closed-loop stability and performance. Moving on to robust predictive control, the text explains how similar guarantees may be obtained for cases in which the model describing the system dynamics is subject to additive disturbances and parametric uncertainties. Open- and closed-loop optimization are considered and the state of the art in computationally tractable methods based on uncertainty tubes presented for systems with additive model uncertainty. Finally, the tube framework is also applied to model predictive control problems involving hard or probabilistic constraints for the cases of multiplicative and stochastic model uncertainty. The book provides: extensive use of illustrative examples; sample problems; and discussion of novel control applications such as resource allocation for sustainable development and turbine-blade control for maximized power capture with simultaneously reduced risk of turbulence-induced damage. Graduate students pursuing courses in model predictive control or more generally in advanced or process control and senior undergraduates in need of a specialized treatment will find Model Predictive Control an invaluable guide to the state of the art in this important subject. For the instructor it provides an authoritative resource for the construction of courses. 
650 0 |a Engineering. 
650 0 |a Chemical engineering. 
650 0 |a System theory. 
650 0 |a Automotive engineering. 
650 0 |a Aerospace engineering. 
650 0 |a Astronautics. 
650 0 |a Control engineering. 
650 1 4 |a Engineering. 
650 2 4 |a Control. 
650 2 4 |a Systems Theory, Control. 
650 2 4 |a Industrial Chemistry/Chemical Engineering. 
650 2 4 |a Automotive Engineering. 
650 2 4 |a Aerospace Technology and Astronautics. 
700 1 |a Cannon, Mark.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319248516 
830 0 |a Advanced Textbooks in Control and Signal Processing,  |x 1439-2232 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-24853-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)