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 th...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Russell, David W. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: London : Springer London : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Subjects:
Control engineering.
Multibody systems.
Vibration.
Mechanics, Applied.
Algorithms.
Microprogramming .
System theory.
Control theory.
Artificial intelligence.
Control and Systems Theory.
Multibody Systems and Mechanical Vibrations.
Control Structures and Microprogramming.
Systems Theory, Control .
Artificial Intelligence.
Online Access:Texto Completo
Table of Contents:
  • 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.

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