Differential neural networks for robust nonlinear control: identification, state estimation and trajectory tracking
This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c2001
|
| Schlagworte: | |
| Online-Zugang: | FHN01 Volltext |
| Zusammenfassung: | This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.) |
| Beschreibung: | xxxi, 422 p. ill |
| ISBN: | 9789812811295 |
Internformat
MARC
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| 100 | 1 | |a Poznyak, Alexander S. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Differential neural networks for robust nonlinear control |b identification, state estimation and trajectory tracking |c Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
| 264 | 1 | |a Singapore |b World Scientific Pub. Co. |c c2001 | |
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| 520 | |a This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.) | ||
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 4 | |a Nonlinear control theory | |
| 650 | 4 | |a Robust control | |
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| 650 | 0 | 7 | |a Nichtlineare Kontrolltheorie |0 (DE-588)4475218-0 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Robuste Kontrolle |0 (DE-588)4232797-0 |D s |
| 689 | 0 | 1 | |a Nichtlineare Kontrolltheorie |0 (DE-588)4475218-0 |D s |
| 689 | 0 | 2 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
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| 700 | 1 | |a Sanchez, Edgar N. |e Sonstige |4 oth | |
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Datensatz im Suchindex
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| author | Poznyak, Alexander S. |
| author_facet | Poznyak, Alexander S. |
| author_role | aut |
| author_sort | Poznyak, Alexander S. |
| author_variant | a s p as asp |
| building | Verbundindex |
| bvnumber | BV044636180 |
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| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.32 |
| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Mathematik |
| format | Electronic eBook |
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| id | DE-604.BV044636180 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:57:48Z |
| institution | BVB |
| isbn | 9789812811295 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030034150 |
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| physical | xxxi, 422 p. ill |
| psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
| publishDate | 2001 |
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| spelling | Poznyak, Alexander S. Verfasser aut Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu Singapore World Scientific Pub. Co. c2001 xxxi, 422 p. ill txt rdacontent c rdamedia cr rdacarrier This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.) Neural networks (Computer science) Nonlinear control theory Robust control Robuste Kontrolle (DE-588)4232797-0 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Nichtlineare Kontrolltheorie (DE-588)4475218-0 gnd rswk-swf Robuste Kontrolle (DE-588)4232797-0 s Nichtlineare Kontrolltheorie (DE-588)4475218-0 s Neuronales Netz (DE-588)4226127-2 s 1\p DE-604 Sanchez, Edgar N. Sonstige oth Yu, Wen Sonstige oth Erscheint auch als Druck-Ausgabe 9789810246242 Erscheint auch als Druck-Ausgabe 9810246242 http://www.worldscientific.com/worldscibooks/10.1142/4703#t=toc Verlag URL des Erstveroeffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Poznyak, Alexander S. Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking Neural networks (Computer science) Nonlinear control theory Robust control Robuste Kontrolle (DE-588)4232797-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Nichtlineare Kontrolltheorie (DE-588)4475218-0 gnd |
| subject_GND | (DE-588)4232797-0 (DE-588)4226127-2 (DE-588)4475218-0 |
| title | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking |
| title_auth | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking |
| title_exact_search | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking |
| title_full | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
| title_fullStr | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
| title_full_unstemmed | Differential neural networks for robust nonlinear control identification, state estimation and trajectory tracking Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu |
| title_short | Differential neural networks for robust nonlinear control |
| title_sort | differential neural networks for robust nonlinear control identification state estimation and trajectory tracking |
| title_sub | identification, state estimation and trajectory tracking |
| topic | Neural networks (Computer science) Nonlinear control theory Robust control Robuste Kontrolle (DE-588)4232797-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Nichtlineare Kontrolltheorie (DE-588)4475218-0 gnd |
| topic_facet | Neural networks (Computer science) Nonlinear control theory Robust control Robuste Kontrolle Neuronales Netz Nichtlineare Kontrolltheorie |
| url | http://www.worldscientific.com/worldscibooks/10.1142/4703#t=toc |
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