The BOXES methodology : black box dynamic control
Robust control mechanisms customarily require knowledge of the system s describing equations which may be of the high order differential type. In order to produce these equations, mathematical models can often be derived and correlated with measured dynamic behavior. There are two flaws in this ap...
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| Autor principal: | |
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| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The BOXES Methodology, Texte imprimé, 9781849965279 |
Tabla de Contenidos:
- Chapter 1: Introduction Part I: Learning and Artificial Intelligence (AI) Chapter 2: The Game Metaphor Chapter 3: Introduction to BOXES Chapter 4: Dynamic control as a game Part II: The Trolley and Pole Chapter 5: Control of a simulated inverted pendulum using the BOXES method Chapter 6: The Liverpool experiment Chapter 7: Solving the auto-start dilemma Part III: Other BOXES applications Chapter 8: Continuous system control.- Chapter 9: Other on/off control case studies Chapter 10: Two non-linear applications Part IV: Improving the Algorithm Chapter 11: Accelerated learning Chapter 12: Two advising paradigms Chapter 13: Evolutionary studies research Chapter 14: Conclusions