Neural systems for control /:
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in...
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| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego :
Academic Press,
©1997.
|
| Schlagworte: | |
| Online-Zugang: | Volltext Volltext |
| Zusammenfassung: | Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis. |
| Beschreibung: | 1 online resource (xiii, 358 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9780125264303 0125264305 9780080537399 0080537391 1281038458 9781281038456 |
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| 245 | 0 | 0 | |a Neural systems for control / |c edited by Omid Omidvar, David L. Elliott. |
| 260 | |a San Diego : |b Academic Press, |c ©1997. | ||
| 300 | |a 1 online resource (xiii, 358 pages) : |b illustrations | ||
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| 520 | |a Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis. | ||
| 505 | 0 | |a Introduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. Reggia and Min Jang -- Neuronal modeling of the baroreceptor reflex with applications in process modeling and control / Francis J. Doyle III [and others] -- Identification of nonlinear dynamical systems using neural networks / A.U. Levin and K.S. Narendra -- Neural network control of robot arms and nonlinear systems / F.L. Lweis, S. Jagannathan, and A. Yeşildirek -- Neural networks for intelligent sensors and control : practical issues and some solutions / S. Joe Qin -- Approximation of time-optimal control for an industrial production plant with general regression neural network / Clemens Schäffner and Dierk Schröder -- Neuro-control design : optimization aspects / H. Ted Su and Tariq Samad -- Reconfigurable neural control in precision space structural platforms / Gary G. Yen -- Neural approximations for finite- and infinite- horizon optimal control / Riccardo Zoppoli and Thomas Parisini. | |
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937 | |
| 650 | 0 | |a Automatic control. |0 http://id.loc.gov/authorities/subjects/sh85010089 | |
| 650 | 2 | |a Neural Networks, Computer |0 https://id.nlm.nih.gov/mesh/D016571 | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Commande automatique. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Automation. |2 bisacsh | |
| 650 | 7 | |a Automatic control |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
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| 650 | 7 | |a Regelungssystem |2 gnd |0 http://d-nb.info/gnd/4134712-2 | |
| 650 | 7 | |a Commande automatique. |2 ram | |
| 700 | 1 | |a Omidvar, Omid. |0 http://id.loc.gov/authorities/names/n96099079 | |
| 700 | 1 | |a Elliott, David L. |q (David LeRoy), |d 1932- |1 https://id.oclc.org/worldcat/entity/E39PBJmP89JqGgfDpxdvQTJJjC |0 http://id.loc.gov/authorities/names/no2001072549 | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn162128802 |
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| _version_ | 1816881650205720577 |
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| author2 | Omidvar, Omid Elliott, David L. (David LeRoy), 1932- |
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| author_GND | http://id.loc.gov/authorities/names/n96099079 http://id.loc.gov/authorities/names/no2001072549 |
| author_facet | Omidvar, Omid Elliott, David L. (David LeRoy), 1932- |
| author_sort | Omidvar, Omid |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.87 .N4925 1997eb |
| callnumber-search | QA76.87 .N4925 1997eb |
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| contents | Introduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index. Introduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. Reggia and Min Jang -- Neuronal modeling of the baroreceptor reflex with applications in process modeling and control / Francis J. Doyle III [and others] -- Identification of nonlinear dynamical systems using neural networks / A.U. Levin and K.S. Narendra -- Neural network control of robot arms and nonlinear systems / F.L. Lweis, S. Jagannathan, and A. Yeşildirek -- Neural networks for intelligent sensors and control : practical issues and some solutions / S. Joe Qin -- Approximation of time-optimal control for an industrial production plant with general regression neural network / Clemens Schäffner and Dierk Schröder -- Neuro-control design : optimization aspects / H. Ted Su and Tariq Samad -- Reconfigurable neural control in precision space structural platforms / Gary G. Yen -- Neural approximations for finite- and infinite- horizon optimal control / Riccardo Zoppoli and Thomas Parisini. |
| ctrlnum | (OCoLC)162128802 |
| dewey-full | 629.8/9 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/9 |
| dewey-search | 629.8/9 |
| dewey-sort | 3629.8 19 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
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Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Introduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Introduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. 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| id | ZDB-4-EBA-ocn162128802 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:16:05Z |
| institution | BVB |
| isbn | 9780125264303 0125264305 9780080537399 0080537391 1281038458 9781281038456 |
| language | English |
| oclc_num | 162128802 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiii, 358 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Academic Press, |
| record_format | marc |
| spelling | Neural systems for control / edited by Omid Omidvar, David L. Elliott. San Diego : Academic Press, ©1997. 1 online resource (xiii, 358 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft http://rdaregistry.info/termList/fileType/1002. Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-date developments in the rapidly growing aplication area of neural networks and focuses on research in natural and artifical neural systems directly applicable to control or making use of modern control theory. The book covers such important new developments in control systems such as intelligent sensors in semiconductor wafer manufacturing; the relation between muscles and cerebral neurons in speech recognition; online compensation of reconfigurable control for spacecraft aircraft and other systems; applications to rolling mills, robotics and process control; the usage of past output data to identify nonlinear systems by neural networks; neural approximate optimal control; model-free nonlinear control; and neural control based on a regulation of physiological investigation/blood pressure control. All researchers and students dealing with control systems will find the fascinating Neural Systems for Control of immense interest and assistance. Key Features * Focuses on research in natural and artifical neural systems directly applicable to contol or making use of modern control theory * Represents the most up-to-date developments in this rapidly growing application area of neural networks * Takes a new and novel approach to system identification and synthesis. Introduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index. Includes bibliographical references and index. Introduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. Reggia and Min Jang -- Neuronal modeling of the baroreceptor reflex with applications in process modeling and control / Francis J. Doyle III [and others] -- Identification of nonlinear dynamical systems using neural networks / A.U. Levin and K.S. Narendra -- Neural network control of robot arms and nonlinear systems / F.L. Lweis, S. Jagannathan, and A. Yeşildirek -- Neural networks for intelligent sensors and control : practical issues and some solutions / S. Joe Qin -- Approximation of time-optimal control for an industrial production plant with general regression neural network / Clemens Schäffner and Dierk Schröder -- Neuro-control design : optimization aspects / H. Ted Su and Tariq Samad -- Reconfigurable neural control in precision space structural platforms / Gary G. Yen -- Neural approximations for finite- and infinite- horizon optimal control / Riccardo Zoppoli and Thomas Parisini. Print version record. Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Réseaux neuronaux (Informatique) Commande automatique. TECHNOLOGY & ENGINEERING Automation. bisacsh Automatic control fast Neural networks (Computer science) fast Neuronales Netz gnd http://d-nb.info/gnd/4226127-2 Regelungssystem gnd http://d-nb.info/gnd/4134712-2 Commande automatique. ram Omidvar, Omid. http://id.loc.gov/authorities/names/n96099079 Elliott, David L. (David LeRoy), 1932- https://id.oclc.org/worldcat/entity/E39PBJmP89JqGgfDpxdvQTJJjC http://id.loc.gov/authorities/names/no2001072549 Print version: Neural systems for control. San Diego : Academic Press, ©1997 0125264305 9780125264303 (DLC) 96029556 (OCoLC)35758075 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=205644 Volltext FWS01 ZDB-4-EBA FWS_PDA_EBA https://www.sciencedirect.com/science/book/9780125264303 Volltext |
| spellingShingle | Neural systems for control / Introduction: Neural Networks and Automatic Control. Reinforcement Learning. Neurocontrol in Sequence Recognition. A Learning Sensorimotor Map of Arm Movements: A Step Toward Biological Arm Control. Neuronal Modeling of the Baroceptor Reflex with Applications in Process Modeling and Control. Identification of Nonlinear Dynamical Systems Using Neural Networks. Neural Network Control of Robot Arms and Nonlinear Systems. Neual Networks for Intelligent Sensors and Control-PracticalIssues and Some Solutions. Approximation of Time-Optimal Control for an Industrial Production Plant with General Regression Neural Network. Neuro-Control Design: Reconfigurable Neural Control in Precision Space Structural Platforms. Neural Approximationsfor Finite- and Infinite-Horizon Optimal Control. Index. Introduction : neural networks and automatic control / David L. Elliott -- Reinforcement learning / Andrew G. Barto -- Neurocontrol in sequence recognition / William J. Byrne and Shihab A. Shamma -- A learning sensorimotor map of arm movements : a step toward biological arm control / Sungzoon Cho, James A. Reggia and Min Jang -- Neuronal modeling of the baroreceptor reflex with applications in process modeling and control / Francis J. Doyle III [and others] -- Identification of nonlinear dynamical systems using neural networks / A.U. Levin and K.S. Narendra -- Neural network control of robot arms and nonlinear systems / F.L. Lweis, S. Jagannathan, and A. Yeşildirek -- Neural networks for intelligent sensors and control : practical issues and some solutions / S. Joe Qin -- Approximation of time-optimal control for an industrial production plant with general regression neural network / Clemens Schäffner and Dierk Schröder -- Neuro-control design : optimization aspects / H. Ted Su and Tariq Samad -- Reconfigurable neural control in precision space structural platforms / Gary G. Yen -- Neural approximations for finite- and infinite- horizon optimal control / Riccardo Zoppoli and Thomas Parisini. Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Réseaux neuronaux (Informatique) Commande automatique. TECHNOLOGY & ENGINEERING Automation. bisacsh Automatic control fast Neural networks (Computer science) fast Neuronales Netz gnd http://d-nb.info/gnd/4226127-2 Regelungssystem gnd http://d-nb.info/gnd/4134712-2 Commande automatique. ram |
| subject_GND | http://id.loc.gov/authorities/subjects/sh90001937 http://id.loc.gov/authorities/subjects/sh85010089 https://id.nlm.nih.gov/mesh/D016571 http://d-nb.info/gnd/4226127-2 http://d-nb.info/gnd/4134712-2 |
| title | Neural systems for control / |
| title_auth | Neural systems for control / |
| title_exact_search | Neural systems for control / |
| title_full | Neural systems for control / edited by Omid Omidvar, David L. Elliott. |
| title_fullStr | Neural systems for control / edited by Omid Omidvar, David L. Elliott. |
| title_full_unstemmed | Neural systems for control / edited by Omid Omidvar, David L. Elliott. |
| title_short | Neural systems for control / |
| title_sort | neural systems for control |
| topic | Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Réseaux neuronaux (Informatique) Commande automatique. TECHNOLOGY & ENGINEERING Automation. bisacsh Automatic control fast Neural networks (Computer science) fast Neuronales Netz gnd http://d-nb.info/gnd/4226127-2 Regelungssystem gnd http://d-nb.info/gnd/4134712-2 Commande automatique. ram |
| topic_facet | Neural networks (Computer science) Automatic control. Neural Networks, Computer Réseaux neuronaux (Informatique) Commande automatique. TECHNOLOGY & ENGINEERING Automation. Automatic control Neuronales Netz Regelungssystem |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=205644 https://www.sciencedirect.com/science/book/9780125264303 |
| work_keys_str_mv | AT omidvaromid neuralsystemsforcontrol AT elliottdavidl neuralsystemsforcontrol |