Control design techniques in power electronics devices / Hebertt Sira-Ramirez, Ramon Silva-Ortigoza |
Autore | Sira-Ramirez, Hebertt |
Pubbl/distr/stampa | London, : Springer, 2006 |
Descrizione fisica | XVIII, 424 p. : fig. ; 23 cm |
Disciplina | 629.89 |
Altri autori (Persone) | Silva-Ortigoza, Ramon |
ISBN | 1846284589 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAS-RML0293386 |
Sira-Ramirez, Hebertt
![]() |
||
London, : Springer, 2006 | ||
![]() | ||
Lo trovi qui: Univ. di Cassino | ||
|
Control design techniques in power electronics devices / Hebertt Sira-Ramírez and Ramón Silva-Ortigoza |
Autore | Sira-Ramírez, Hebertt |
Pubbl/distr/stampa | London, : Springer, c2006 |
Descrizione fisica | XVII, 423 p. : ill. ; 24 cm. |
Disciplina |
629.8
629.89 |
Altri autori (Persone) | Silva-Ortigoza, Ramón |
Collana | Power systems |
Soggetto topico | Controlli elettronici |
ISBN |
1846284589
1846284597 9781846284588 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISANNIO-NAP0432822 |
Sira-Ramírez, Hebertt
![]() |
||
London, : Springer, c2006 | ||
![]() | ||
Lo trovi qui: Univ. del Sannio | ||
|
Control engineering practice |
Pubbl/distr/stampa | Oxford, : Pergamon Press |
Disciplina | 629.89 |
ISSN | 0967-0661 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990008945790403321 |
Oxford, : Pergamon Press | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Control of time-delay systems / J. E. Marshall |
Autore | Marshall, J. E. |
Pubbl/distr/stampa | England : Peter Peregrinus, ©1979 |
Descrizione fisica | 225 p. : ill ; 23 cm |
Disciplina | 629.89 |
Collana | IEE control engineering series |
Soggetto non controllato | Controlli automatici |
ISBN | 0-906048-12-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990000450980403321 |
Marshall, J. E. | ||
England : Peter Peregrinus, ©1979 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Controlli automatici / Giovanni Marro |
Autore | Marro, Giovanni <1935-2021> |
Edizione | [4. ed] |
Pubbl/distr/stampa | Bologna, : Zanichelli, 1992 |
Descrizione fisica | VIII, 536 p. ; 24 cm |
Disciplina |
629.8
629.89 |
Collana | Elettronica |
Soggetto topico | Controlli automatici |
ISBN | 8808142620 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Titolo uniforme | |
Record Nr. | UNISANNIO-RAV0211665 |
Marro, Giovanni <1935-2021>
![]() |
||
Bologna, : Zanichelli, 1992 | ||
![]() | ||
Lo trovi qui: Univ. del Sannio | ||
|
Dependability assurance of real-time embedded control systems / Francesco Flammini |
Autore | Flammini, Francesco |
Pubbl/distr/stampa | New York, : Nova Science Publishers, 2010 |
Descrizione fisica | 73 p. ; 23 cm |
Disciplina |
629.8
629.89 |
Collana | Applied statistical science |
Soggetto topico | Sistemi di controllo automatici |
ISBN | 9781617285028 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISANNIO-NAP0566295 |
Flammini, Francesco
![]() |
||
New York, : Nova Science Publishers, 2010 | ||
![]() | ||
Lo trovi qui: Univ. del Sannio | ||
|
Designing intelligent machines . Volume 2 Concepts in artificial intelligence [[electronic resource] /] / by Jeffrey Johnson and Philip Picton |
Autore | Johnson Jeffrey |
Pubbl/distr/stampa | Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 |
Descrizione fisica | 1 online resource (393 p.) |
Disciplina |
621
629.89 |
Altri autori (Persone) | PictonPhilip |
Soggetto topico |
Mechatronics - Study and teaching
Artificial intelligence Engineering design |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-07716-X
9786611077167 0-08-052976-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Concepts in Artificial Intelligence; Copyright Page; Contents; Preface; Overview of Volume 2; Chapter 1. Introduction; 1.1 Artificial intelligence in engineering; 1.2 Strong AI, weak AI and cognitive science; 7.3 Why build intelligence into machines?; 1.4 How much intelligence can be built into machines?; 1.5 What is artificial intelligence?; 1.6 How is AI applied to engineering in practice?; 1.7 The principles behind the applications; Chapter 2. Pattern recognition; 2.1 Introduction; 2.2 Theoretical foundations; 2.3 Relational patterns and graph matching
2.4 Hierarchical structure in pattern recognition 2.5 Data transformation in pattern recognition; 2.6 Pattern recognition using multidimensional data; 2.7 Multiple classifications and fuzzy sets; 2.8 Errors: non-recognition versus misclassification; 2.9 Rigorous procedures for training pattern recognizers; 2.10 Conclusion; Chapter 3. Search; 3.1 Introduction; 3.2 Tree search; 3.3 Calculus-based search; 3.4 Probabilistic search; 3.5 Conclusion; Chapter 4. Neural networks; 4.1 Introduction; 4.2 The artificial neural unit; 4.3 Pattern classification; 4.4 Feed forward networks 4.5 Learning in neural networks 4.6 Feedback networks; 4.7 Uses of the multi-layer perception; 4.8 Conclusion; Chapter 5. Scheduling; 5.1 Introduction; 5.2 Representation in scheduling; 5.3 Graphs and networks for representing scheduling problems; 5.4 Shortest paths; 5.5 Critical path analysis; 5.6 Critical path activity scheduling; 5.7 The 'travelling salesman problem'; 5.8 Intelligent scheduling; 5.9 Conclusion; Chapter 6. Reasoning; 6.1 introduction; 6.2 Reasoning with certainty; 6.3 Reasoning with uncertainty; 6.4 Conclusion; Chapter 7. Rule-based systems 7.1 Knowledge-based, rule-based and expert systems 7.2 Implementation; 7.3 Confidence levels and fuzzy rules; 7.4 Programming language and rule-based system shells; 7.5 Conclusion; Chapter 8. Learning; 8.1 Introduction; 8.2 Learning by memory; 8.3 Learning by updating parameters; 8.4 learning during execution using Bayesian updating; 8.5 learning from examples; 8.6 learning by analogy; 8.7 Learning by discovery; 8.8 Conclusion; Chapter 9. Intelligent control; 9.1 Introduction; 9.2 The broom-balancer; 9.3 Classical solution; 9.4 Neural network solution; 9.5 Genetic algorithms; 9.6 Fuzzy rules 9.7 Hierarchical control of complex systems 9.8 Conclusion: principles for intelligent control design; Chapter 10. Computer vision; 10.1 Introduction; 10.2 Abstracting information from digital images; 10.3 The nature of digital images; 10.4 Computer vision versus computer graphics; 10.5 Object recognition and measurement; 10.6 A summary of the basic techniques in computer vision; 10.7 A hierarchical architecture for computer vision; 10.8 Conclusion: computer vision in intelligent machines; Chapter 11. Integration; 11.1 An introduction to blackboard systems 11.2 The blackboard system as a development environment |
Record Nr. | UNINA-9910450552703321 |
Johnson Jeffrey
![]() |
||
Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Designing intelligent machines . Volume 2 Concepts in artificial intelligence [[electronic resource] /] / by Jeffrey Johnson and Philip Picton |
Autore | Johnson Jeffrey |
Pubbl/distr/stampa | Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 |
Descrizione fisica | 1 online resource (393 p.) |
Disciplina |
621
629.89 |
Altri autori (Persone) | PictonPhilip |
Soggetto topico |
Mechatronics - Study and teaching
Artificial intelligence Engineering design |
ISBN |
1-281-07716-X
9786611077167 0-08-052976-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Concepts in Artificial Intelligence; Copyright Page; Contents; Preface; Overview of Volume 2; Chapter 1. Introduction; 1.1 Artificial intelligence in engineering; 1.2 Strong AI, weak AI and cognitive science; 7.3 Why build intelligence into machines?; 1.4 How much intelligence can be built into machines?; 1.5 What is artificial intelligence?; 1.6 How is AI applied to engineering in practice?; 1.7 The principles behind the applications; Chapter 2. Pattern recognition; 2.1 Introduction; 2.2 Theoretical foundations; 2.3 Relational patterns and graph matching
2.4 Hierarchical structure in pattern recognition 2.5 Data transformation in pattern recognition; 2.6 Pattern recognition using multidimensional data; 2.7 Multiple classifications and fuzzy sets; 2.8 Errors: non-recognition versus misclassification; 2.9 Rigorous procedures for training pattern recognizers; 2.10 Conclusion; Chapter 3. Search; 3.1 Introduction; 3.2 Tree search; 3.3 Calculus-based search; 3.4 Probabilistic search; 3.5 Conclusion; Chapter 4. Neural networks; 4.1 Introduction; 4.2 The artificial neural unit; 4.3 Pattern classification; 4.4 Feed forward networks 4.5 Learning in neural networks 4.6 Feedback networks; 4.7 Uses of the multi-layer perception; 4.8 Conclusion; Chapter 5. Scheduling; 5.1 Introduction; 5.2 Representation in scheduling; 5.3 Graphs and networks for representing scheduling problems; 5.4 Shortest paths; 5.5 Critical path analysis; 5.6 Critical path activity scheduling; 5.7 The 'travelling salesman problem'; 5.8 Intelligent scheduling; 5.9 Conclusion; Chapter 6. Reasoning; 6.1 introduction; 6.2 Reasoning with certainty; 6.3 Reasoning with uncertainty; 6.4 Conclusion; Chapter 7. Rule-based systems 7.1 Knowledge-based, rule-based and expert systems 7.2 Implementation; 7.3 Confidence levels and fuzzy rules; 7.4 Programming language and rule-based system shells; 7.5 Conclusion; Chapter 8. Learning; 8.1 Introduction; 8.2 Learning by memory; 8.3 Learning by updating parameters; 8.4 learning during execution using Bayesian updating; 8.5 learning from examples; 8.6 learning by analogy; 8.7 Learning by discovery; 8.8 Conclusion; Chapter 9. Intelligent control; 9.1 Introduction; 9.2 The broom-balancer; 9.3 Classical solution; 9.4 Neural network solution; 9.5 Genetic algorithms; 9.6 Fuzzy rules 9.7 Hierarchical control of complex systems 9.8 Conclusion: principles for intelligent control design; Chapter 10. Computer vision; 10.1 Introduction; 10.2 Abstracting information from digital images; 10.3 The nature of digital images; 10.4 Computer vision versus computer graphics; 10.5 Object recognition and measurement; 10.6 A summary of the basic techniques in computer vision; 10.7 A hierarchical architecture for computer vision; 10.8 Conclusion: computer vision in intelligent machines; Chapter 11. Integration; 11.1 An introduction to blackboard systems 11.2 The blackboard system as a development environment |
Record Nr. | UNINA-9910783135903321 |
Johnson Jeffrey
![]() |
||
Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Designing intelligent machines . Volume 2 Concepts in artificial intelligence [[electronic resource] /] / by Jeffrey Johnson and Philip Picton |
Autore | Johnson Jeffrey |
Pubbl/distr/stampa | Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 |
Descrizione fisica | 1 online resource (393 p.) |
Disciplina |
621
629.89 |
Altri autori (Persone) | PictonPhilip |
Soggetto topico |
Mechatronics - Study and teaching
Artificial intelligence Engineering design |
ISBN |
1-281-07716-X
9786611077167 0-08-052976-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Concepts in Artificial Intelligence; Copyright Page; Contents; Preface; Overview of Volume 2; Chapter 1. Introduction; 1.1 Artificial intelligence in engineering; 1.2 Strong AI, weak AI and cognitive science; 7.3 Why build intelligence into machines?; 1.4 How much intelligence can be built into machines?; 1.5 What is artificial intelligence?; 1.6 How is AI applied to engineering in practice?; 1.7 The principles behind the applications; Chapter 2. Pattern recognition; 2.1 Introduction; 2.2 Theoretical foundations; 2.3 Relational patterns and graph matching
2.4 Hierarchical structure in pattern recognition 2.5 Data transformation in pattern recognition; 2.6 Pattern recognition using multidimensional data; 2.7 Multiple classifications and fuzzy sets; 2.8 Errors: non-recognition versus misclassification; 2.9 Rigorous procedures for training pattern recognizers; 2.10 Conclusion; Chapter 3. Search; 3.1 Introduction; 3.2 Tree search; 3.3 Calculus-based search; 3.4 Probabilistic search; 3.5 Conclusion; Chapter 4. Neural networks; 4.1 Introduction; 4.2 The artificial neural unit; 4.3 Pattern classification; 4.4 Feed forward networks 4.5 Learning in neural networks 4.6 Feedback networks; 4.7 Uses of the multi-layer perception; 4.8 Conclusion; Chapter 5. Scheduling; 5.1 Introduction; 5.2 Representation in scheduling; 5.3 Graphs and networks for representing scheduling problems; 5.4 Shortest paths; 5.5 Critical path analysis; 5.6 Critical path activity scheduling; 5.7 The 'travelling salesman problem'; 5.8 Intelligent scheduling; 5.9 Conclusion; Chapter 6. Reasoning; 6.1 introduction; 6.2 Reasoning with certainty; 6.3 Reasoning with uncertainty; 6.4 Conclusion; Chapter 7. Rule-based systems 7.1 Knowledge-based, rule-based and expert systems 7.2 Implementation; 7.3 Confidence levels and fuzzy rules; 7.4 Programming language and rule-based system shells; 7.5 Conclusion; Chapter 8. Learning; 8.1 Introduction; 8.2 Learning by memory; 8.3 Learning by updating parameters; 8.4 learning during execution using Bayesian updating; 8.5 learning from examples; 8.6 learning by analogy; 8.7 Learning by discovery; 8.8 Conclusion; Chapter 9. Intelligent control; 9.1 Introduction; 9.2 The broom-balancer; 9.3 Classical solution; 9.4 Neural network solution; 9.5 Genetic algorithms; 9.6 Fuzzy rules 9.7 Hierarchical control of complex systems 9.8 Conclusion: principles for intelligent control design; Chapter 10. Computer vision; 10.1 Introduction; 10.2 Abstracting information from digital images; 10.3 The nature of digital images; 10.4 Computer vision versus computer graphics; 10.5 Object recognition and measurement; 10.6 A summary of the basic techniques in computer vision; 10.7 A hierarchical architecture for computer vision; 10.8 Conclusion: computer vision in intelligent machines; Chapter 11. Integration; 11.1 An introduction to blackboard systems 11.2 The blackboard system as a development environment |
Record Nr. | UNINA-9910826593703321 |
Johnson Jeffrey
![]() |
||
Boston ; ; Oxford, : Butterworth-Heinemann in association with the Open University, 1995 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Digital and analog controls / Marvin A. Needler, Don E. Baker |
Autore | Needler, Marvin A. |
Pubbl/distr/stampa | Virginia : Reston publishingl, c1985 |
Descrizione fisica | 424 p. : ill. ; 24 cm |
Disciplina | 629.89 |
Altri autori (Persone) | Baker, Don E. |
Soggetto non controllato | Controllo elettronico |
ISBN | 0-8359-1314-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-990000449230403321 |
Needler, Marvin A. | ||
Virginia : Reston publishingl, c1985 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|