Robust Model Predictive Control (85 results)

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Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
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Language: English
Published by The Institution of Engineering and Technology, 2015
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Language: English
Published by Springer, 2019
Series: Book 17 of 28 - Advanced Textbooks in Control and Signal Processing
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Taschenbuch. Condition: Neu. Efficient robust model predictive control via convex optimization | Efficiently incorporating robustness using linear | Zhaoyang Wan (u. a.) | Taschenbuch | Englisch | 2017 | AV Akademikerverlag | EAN 9786202203906 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49…078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condition: Neu. Robust Model Predictive Control | Complexity and Optimality | Marcin Cychowski | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639010862 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademike…rverlag[dot]de | Anbieter: preigu.

Language: English
Published by Institution of Engineering and Technology, GB, 2014
- Hardcover
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Hardback. Condition: New. Most physical systems possess parametric uncertainties or unmeasurable parameters and, since parametric uncertainty may degrade the performance of model predictive control (MPC), mechanisms to update the unknown or uncertain parameters are desirable in application. One possibility is to apply adaptive e…xtensions of MPC in which parameter estimation and control are performed online. This book proposes such an approach, with a design methodology for adaptive robust nonlinear MPC (NMPC) systems in the presence of disturbances and parametric uncertainties. One of the key concepts pursued is the concept of set-based adaptive parameter estimation, which provides a mechanism to estimate the unknown parameters as well as an estimate of the parameter uncertainty set. The knowledge of non-conservative uncertain set estimates is exploited in the design of robust adaptive NMPC algorithms that guarantee robustness of the NMPC system to parameter uncertainty. Topics covered include: a review of nonlinear MPC; extensions for performance improvement; introduction to adaptive robust MPC; computational aspects of robust adaptive MPC; finite-time parameter estimation in adaptive control; performance improvement in adaptive control; adaptive MPC for constrained nonlinear systems; adaptive MPC with disturbance attenuation; robust adaptive economic MPC; setbased estimation in discrete-time systems; and robust adaptive MPC for discrete-time systems.

Language: English
Published by The Institution of Engineering and Technology, 2015
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Language: English
Published by The Institution of Engineering and Technology, 2015
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Language: English
Published by The Institution of Engineering and Technology, 2015
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Taschenbuch. Condition: Neu. The Robustness and Stability Analysis of Model Predictive Control | using robust control and absolute stability theories | Guang Li | Taschenbuch | 172 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838350295 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Lan…dstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Language: English
Published by The Institution of Engineering and Technology, 2015
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Language: English
Published by Springer, 2015
Series: Book 17 of 28 - Advanced Textbooks in Control and Signal Processing
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Taschenbuch. Condition: Neu. Decentralized Robust Nonlinear Model Predictive Control for UAS | Nonlinear and Robust Control Applied to Aircraft | Gonzalo Garcia | Taschenbuch | 168 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659554056 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 4…2, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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paperback. Condition: New. Paperback.Pub Date:2022-04-01 Pages:180 Language:Chinese Publisher:Science Press In the control of constraint systems. invariant set properties and control laws in set theory. constraint satisfaction and Lyapunov functions are closely related to mathematics relation. Set theory and model predictive con…trol for constrained systems have become the focus of theoretical research. Robust Model Predictive Control for Constrained Uncertain Systems Based on Set Theory focuses on the performance. stab.

Language: English
Published by Institution of Engineering and Technology, GB, 2014
- Hardcover
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Hardback. Condition: New. Most physical systems possess parametric uncertainties or unmeasurable parameters and, since parametric uncertainty may degrade the performance of model predictive control (MPC), mechanisms to update the unknown or uncertain parameters are desirable in application. One possibility is to apply adaptive e…xtensions of MPC in which parameter estimation and control are performed online. This book proposes such an approach, with a design methodology for adaptive robust nonlinear MPC (NMPC) systems in the presence of disturbances and parametric uncertainties. One of the key concepts pursued is the concept of set-based adaptive parameter estimation, which provides a mechanism to estimate the unknown parameters as well as an estimate of the parameter uncertainty set. The knowledge of non-conservative uncertain set estimates is exploited in the design of robust adaptive NMPC algorithms that guarantee robustness of the NMPC system to parameter uncertainty. Topics covered include: a review of nonlinear MPC; extensions for performance improvement; introduction to adaptive robust MPC; computational aspects of robust adaptive MPC; finite-time parameter estimation in adaptive control; performance improvement in adaptive control; adaptive MPC for constrained nonlinear systems; adaptive MPC with disturbance attenuation; robust adaptive economic MPC; setbased estimation in discrete-time systems; and robust adaptive MPC for discrete-time systems.

Language: English
Published by The Institution of Engineering and Technology, 2015
- Hardcover
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Language: English
Published by Springer International Publishing, Springer Nature Switzerland, 2019
Series: Book 17 of 28 - Advanced Textbooks in Control and Signal Processing
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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, co…nstrained 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.

Language: English
Published by Springer, 2019
Series: Book 17 of 28 - Advanced Textbooks in Control and Signal Processing
- Softcover
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Taschenbuch. Condition: Neu. Model Predictive Control | Classical, Robust and Stochastic | Basil Kouvaritakis (u. a.) | Taschenbuch | xiii | Englisch | 2019 | Springer | EAN 9783319796895 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anb…ieter: preigu.

Language: English
Published by Springer Verlag, 2016
Series: Book 17 of 28 - Advanced Textbooks in Control and Signal Processing
- Softcover
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Paperback. Condition: Brand New. reprint edition. 400 pages. 9.25x6.10x0.79 inches. In Stock.

- Softcover
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This monograph addresses the stability, robustness and performance analysis of Model Predictive Control (MPC) using absolute stability theory and an advanced robust control theory, called Integral Quadratic Constraints (IQC). The main probl…ems of many existing analysis approaches for MPC systems are from the difficulty of explicitly incorporating the model uncertainties into the MPC formulations and the shortage of the efficient and systematic methods capable of implementing the stability, robustness and performance tests. The objective of this monograph is to cast the MPC system into a standard framework such that the abundant results in the classical nonlinear control and robust control theory can be utilized. This is realized by exploring the properties inherent in the MPC controller and representing the MPC controller by an operator with these properties in analysis. Within this general framework, two approaches are proposed: one is based on the IQC theory, the other is based on the absolute stability analysis of Lur''e system.

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