Delay-adaptive linear control:
"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 c...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton
Princeton University Press
2020
|
| Schriftenreihe: | Princeton Series in Applied Mathematics
70 |
| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FHR01 FKE01 FLA01 TUM01 UBY01 UPA01 Volltext |
| Zusammenfassung: | "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 If you have tried to maintain a comfortable water temperature while showering in a building with outdated plumbing, you will understand the difficulties that arise when a control system has significant delays: the controller (you) is forced to make decisions based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: | 1 Online-Ressource |
| ISBN: | 9780691203317 |
| DOI: | 10.1515/9780691203317 |
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| 505 | 8 | |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"-- | |
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| 653 | 0 | |a Differential equations, Linear | |
| 653 | 0 | |a Engineering mathematics | |
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Datensatz im Suchindex
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| author | Zhu, Yang 1988- |
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| contents | 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 |
| ctrlnum | (OCoLC)1153973770 (DE-599)BVBBV046703039 |
| doi_str_mv | 10.1515/9780691203317 |
| format | Electronic eBook |
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| id | DE-604.BV046703039 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:28:48Z |
| indexdate | 2024-07-10T08:51:33Z |
| institution | BVB |
| isbn | 9780691203317 |
| language | English |
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| oclc_num | 1153973770 |
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| spelling | Zhu, Yang 1988- Verfasser aut Delay-adaptive linear control Yang Zhu and Miroslav Krstic Princeton Princeton University Press 2020 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Princeton Series in Applied Mathematics 70 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 MATHEMATICS / Applied Electronic books Krstic, Miroslav 1964- Sonstige (DE-588)118153315 oth Erscheint auch als Druck-Ausgabe 978-0-691-20254-9 Princeton Series in Applied Mathematics 70 (DE-604)BV046043043 70 https://doi.org/10.1515/9780691203317 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zhu, Yang 1988- Delay-adaptive linear control Princeton Series in Applied Mathematics 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 |
| 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 |
| url | https://doi.org/10.1515/9780691203317 |
| volume_link | (DE-604)BV046043043 |
| work_keys_str_mv | AT zhuyang delayadaptivelinearcontrol AT krsticmiroslav delayadaptivelinearcontrol |