Delay-adaptive linear control:
Basic predictor feedback for single-input systems -- Basic idea of adaptive control for single-input systems -- Single-input systems with full relative degree -- Single-input systems with arbitrary relative degree -- Exact predictor feedback for multi-input systems -- Full-state feedback of uncertai...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Princeton
Princeton University Press
[2020]
|
| Schriftenreihe: | Princeton Series in Applied Mathematics
70 |
| Schlagworte: | |
| Zusammenfassung: | Basic predictor feedback for single-input systems -- Basic idea of adaptive control for single-input systems -- Single-input systems with full relative degree -- Single-input systems with arbitrary relative degree -- Exact predictor feedback for multi-input systems -- Full-state feedback of uncertain multi-input systems -- Output feedback of uncertain multi-input systems -- Output feedback of systems with uncertain delays, parameters and ODE state -- Predictor feedback for uncertainty-free systems -- Predictor feedback of uncertain single-input systems -- Predictor feedback of uncertain multi-input systems "Uncertainty is inherent in control systems. Consider the following example: as an aircraft flies, it consumes fuel, which causes its mass to decrease. In order to maintain stability, the autopilot mechanism must adapt to this (a priori unknown) change in mass. Delays also pose a challenge in control systems. If you have tried to maintain a comfortable water temperature while showering in a building with outdated plumbing, you will understand the difficulties that arise when a control system has significant delays: the controller (you) is forced to make decisions based on "old" information. The intersection of these two problems (estimating unknown parameters when a system has delays) poses a significant mathematical challenge. Delay-Adaptive Linear Control presents new mathematical techniques to handle the intersection of the two distinct types of uncertainty described above: adaptive constraints, and uncertainties caused by delays. Traditionally, the problems of adaption and delays have been treated separately. This book considers the intersection of these two problems, developing new techniques for addressing different combinations of uncertainty-all within a single, unified framework. This work has applications in electrical and mechanical engineering (unmanned aerial vehicles, robotic manipulators), biomedical engineering (3D printing, neuromuscular electrical stimulation), and management and traffic science (supply chains, traffic flow), among others. Beyond its practical importance, this work is also of significant theoretical interest, as it addresses mathematical challenges involved in the analysis and design of these systems"-- |
| Beschreibung: | Includes bibliographical references and index 2004 |
| Beschreibung: | xviii, 332 Seiten |
| ISBN: | 9780691202549 9780691202556 |
Internformat
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| 245 | 1 | 0 | |a Delay-adaptive linear control |c Yang Zhu and Miroslav Krstic |
| 264 | 1 | |a Princeton |b Princeton University Press |c [2020] | |
| 300 | |a xviii, 332 Seiten | ||
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| 490 | 1 | |a Princeton Series in Applied Mathematics |v 70 | |
| 500 | |a Includes bibliographical references and index | ||
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| 520 | 3 | |a Basic predictor feedback for single-input systems -- Basic idea of adaptive control for single-input systems -- Single-input systems with full relative degree -- Single-input systems with arbitrary relative degree -- Exact predictor feedback for multi-input systems -- Full-state feedback of uncertain multi-input systems -- Output feedback of uncertain multi-input systems -- Output feedback of systems with uncertain delays, parameters and ODE state -- Predictor feedback for uncertainty-free systems -- Predictor feedback of uncertain single-input systems -- Predictor feedback of uncertain multi-input systems | |
| 520 | 3 | |a "Uncertainty is inherent in control systems. Consider the following example: as an aircraft flies, it consumes fuel, which causes its mass to decrease. In order to maintain stability, the autopilot mechanism must adapt to this (a priori unknown) change in mass. Delays also pose a challenge in control systems. If you have tried to maintain a comfortable water temperature while showering in a building with outdated plumbing, you will understand the difficulties that arise when a control system has significant delays: the controller (you) is forced to make decisions based on "old" information. The intersection of these two problems (estimating unknown parameters when a system has delays) poses a significant mathematical challenge. Delay-Adaptive Linear Control presents new mathematical techniques to handle the intersection of the two distinct types of uncertainty described above: adaptive constraints, and uncertainties caused by delays. Traditionally, the problems of adaption and delays have been treated separately. This book considers the intersection of these two problems, developing new techniques for addressing different combinations of uncertainty-all within a single, unified framework. This work has applications in electrical and mechanical engineering (unmanned aerial vehicles, robotic manipulators), biomedical engineering (3D printing, neuromuscular electrical stimulation), and management and traffic science (supply chains, traffic flow), among others. Beyond its practical importance, this work is also of significant theoretical interest, as it addresses mathematical challenges involved in the analysis and design of these systems"-- | |
| 653 | 0 | |a Adaptive control systems / Mathematical models | |
| 653 | 0 | |a Time delay systems / Mathematical models | |
| 653 | 0 | |a Linear control systems / Mathematical models | |
| 653 | 0 | |a Linear time invariant systems / Mathematical models | |
| 653 | 0 | |a Differential equations, Linear | |
| 653 | 0 | |a Engineering mathematics | |
| 700 | 1 | |a Krstic, Miroslav |d 1964- |e Verfasser |0 (DE-588)118153315 |4 aut | |
| 776 | 0 | |z 9780691203317 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |h 1 Online-Ressource |z 9780691203317 |
| 830 | 0 | |a Princeton Series in Applied Mathematics |v 70 |w (DE-604)BV046043043 |9 70 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032292920 | ||
Datensatz im Suchindex
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| author | Zhu, Yang 1988- Krstic, Miroslav 1964- |
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| author_facet | Zhu, Yang 1988- Krstic, Miroslav 1964- |
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| callnumber-sort | TJ 3217 |
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| ctrlnum | (OCoLC)1189760745 (DE-599)KXP1686497393 |
| dewey-full | 629.8/32 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/32 |
| dewey-search | 629.8/32 |
| dewey-sort | 3629.8 232 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| discipline_str_mv | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
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| id | DE-604.BV046882951 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:18:43Z |
| indexdate | 2024-07-10T08:56:29Z |
| institution | BVB |
| isbn | 9780691202549 9780691202556 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032292920 |
| oclc_num | 1189760745 |
| open_access_boolean | |
| owner | DE-83 |
| owner_facet | DE-83 |
| physical | xviii, 332 Seiten |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Princeton University Press |
| record_format | marc |
| series | Princeton Series in Applied Mathematics |
| series2 | Princeton Series in Applied Mathematics |
| spelling | Zhu, Yang 1988- (DE-588)1211492990 aut Delay-adaptive linear control Yang Zhu and Miroslav Krstic Princeton Princeton University Press [2020] xviii, 332 Seiten txt rdacontent n rdamedia nc rdacarrier Princeton Series in Applied Mathematics 70 Includes bibliographical references and index 2004 Basic predictor feedback for single-input systems -- Basic idea of adaptive control for single-input systems -- Single-input systems with full relative degree -- Single-input systems with arbitrary relative degree -- Exact predictor feedback for multi-input systems -- Full-state feedback of uncertain multi-input systems -- Output feedback of uncertain multi-input systems -- Output feedback of systems with uncertain delays, parameters and ODE state -- Predictor feedback for uncertainty-free systems -- Predictor feedback of uncertain single-input systems -- Predictor feedback of uncertain multi-input systems "Uncertainty is inherent in control systems. Consider the following example: as an aircraft flies, it consumes fuel, which causes its mass to decrease. In order to maintain stability, the autopilot mechanism must adapt to this (a priori unknown) change in mass. Delays also pose a challenge in control systems. If you have tried to maintain a comfortable water temperature while showering in a building with outdated plumbing, you will understand the difficulties that arise when a control system has significant delays: the controller (you) is forced to make decisions based on "old" information. The intersection of these two problems (estimating unknown parameters when a system has delays) poses a significant mathematical challenge. Delay-Adaptive Linear Control presents new mathematical techniques to handle the intersection of the two distinct types of uncertainty described above: adaptive constraints, and uncertainties caused by delays. Traditionally, the problems of adaption and delays have been treated separately. This book considers the intersection of these two problems, developing new techniques for addressing different combinations of uncertainty-all within a single, unified framework. This work has applications in electrical and mechanical engineering (unmanned aerial vehicles, robotic manipulators), biomedical engineering (3D printing, neuromuscular electrical stimulation), and management and traffic science (supply chains, traffic flow), among others. Beyond its practical importance, this work is also of significant theoretical interest, as it addresses mathematical challenges involved in the analysis and design of these systems"-- Adaptive control systems / Mathematical models Time delay systems / Mathematical models Linear control systems / Mathematical models Linear time invariant systems / Mathematical models Differential equations, Linear Engineering mathematics Krstic, Miroslav 1964- Verfasser (DE-588)118153315 aut 9780691203317 Erscheint auch als Online-Ausgabe 1 Online-Ressource 9780691203317 Princeton Series in Applied Mathematics 70 (DE-604)BV046043043 70 |
| spellingShingle | Zhu, Yang 1988- Krstic, Miroslav 1964- Delay-adaptive linear control Princeton Series in Applied Mathematics |
| title | Delay-adaptive linear control |
| title_auth | Delay-adaptive linear control |
| title_exact_search | Delay-adaptive linear control |
| title_exact_search_txtP | Delay-adaptive linear control |
| title_full | Delay-adaptive linear control Yang Zhu and Miroslav Krstic |
| title_fullStr | Delay-adaptive linear control Yang Zhu and Miroslav Krstic |
| title_full_unstemmed | Delay-adaptive linear control Yang Zhu and Miroslav Krstic |
| title_short | Delay-adaptive linear control |
| title_sort | delay adaptive linear control |
| volume_link | (DE-604)BV046043043 |
| work_keys_str_mv | AT zhuyang delayadaptivelinearcontrol AT krsticmiroslav delayadaptivelinearcontrol |