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The BOXES Methodology: Black Box Dynamic Control - David W. Russell
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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 approach one is the level of inexactness introduced by linearizations and the other when no model is apparent. Several years ago a new genre of control systems came to light that are much less dependent on differential models such as fuzzy logic and genetic algorithms. Both of these soft computing solutions require quite considerable a priori system knowledge to create a control scheme and sometimes complicated training program before they can be implemented in a real world dynamic system.Michie and Chambers'' BOXES methodology created a black box system that was designed to control a mechanically unstable system with very little a priori system knowledge, linearization or approximation. All the method needed was some notion of maximum and minimum values for the state variables and a set of boundaries that divided each variable into an integer state number. The BOXES Methodology applies the method to a variety of systems including continuous and chaotic dynamic systems, and discusses how it may be possible to create a generic control method that is self organizing and adaptive that learns with the assistance of near neighbouring states. The BOXES Methodology introduces students at the undergraduate and master''s level to black box dynamic system control , and gives lecturers access to background materials that can be used in their courses in support of student research and classroom presentations in novel control systems and real-time applications of artificial intelligence. Designers are provided with a novel method of optimization and controller design when the equations of a system are difficult or unknown. Researchers interested in artificial intelligence (AI) research and models of the brain and practitioners from other areas of biology and technology are given an insight into how AI software can be written and adapted to operate in real-time. David W. Russell, Books, Science and Nature, The BOXES Methodology: Black Box Dynamic Control Books>Science and Nature, Springer London

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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 approach one is the level of inexactness introduced by linearizations and the other when no model is apparent. Several years ago a new genre of control systems came to light that are much less dependent on differential models such as fuzzy logic and genetic algorithms. Both of these soft computing solutions require quite considerable a priori system knowledge to create a control scheme and sometimes complicated training program before they can be implemented in a real world dynamic system. The BOXES Methodology: 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 approach one is the level of inexactness introduced by linearizations and the other when no model is apparent. Several years ago a new genre of control systems came to light that are much less dependent on differential models such as fuzzy logic and genetic algorithms. Both of these soft computing solutions require quite considerable a priori system knowledge to create a control scheme and sometimes complicated training program before they can be implemented in a real world dynamic system. Algorithmus Intelligenz / Künstliche Intelligenz KI Künstliche Intelligenz - AI AI ( Künstliche Intelligenz ) Messtechnik Schwingbewegung - Schwingungslehre ( Schwingung (physikalisch) ) Schwingungslehre ( Schwingung (physikalisch) - Schwingbewegun, Springer

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The BOXES Methodology Black Box Dynamic Control - Russell, David W.
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Russell, David W.:
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ISBN: 1849965277

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2012 Gebundene Ausgabe Algorithmus, Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, AI ( Künstliche Intelligenz ), Messtechnik, Schwingbewegung - Schwingungslehre ( Schwingung (physikalisch) ), Schwingungslehre ( Schwingung (physikalisch) - Schwingbewegung ), Schwingung (physikalisch) - Schwingbewegung - Schwingungslehre, Systemtheorie, mit Schutzumschlag neu, [PU:Springer]

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The BOXES Methodology: Black Box Dynamic Control - David W. Russell
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The BOXES Methodology: Black Box Dynamic Control BOXES-Methodology~~David-W-Russell Science/Tech>Engineering>Engr Ref Hardcover, Springer London

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The BOXES Methodology: Black Box Dynamic Control
Autor:

David W. Russell

Titel:

The BOXES Methodology: Black Box Dynamic Control

ISBN-Nummer:

1849965277

The BOXES Methodology consists of an introduction and a summary/conclusions together with four sections organised as follows. . The BOXES Algorithm is a history and summary of the method and contains references to research workers worldwide who have studied, or who are studying, the method and its relevance in modern control. . Principles of Systems Engineering is an overview of systems engineering and its place in the design of real-time software systems. . Collected Works by the Author highlights the author's original work and includes sections on potential flaws in the system and how they can be mitigated. . Futures and Self Organization outlines some recent research into how the structure of the method can be made self-organizing, thus eliminating much of the a priori system knowledge currently needed for the method to be possible. Using a derivation of chaos theory, a suggested generic BOXES coefficient is proposed that would make the system almost completely application-independent.

Detailangaben zum Buch - The BOXES Methodology: Black Box Dynamic Control


EAN (ISBN-13): 9781849965279
ISBN (ISBN-10): 1849965277
Gebundene Ausgabe
Erscheinungsjahr: 2012
Herausgeber: Springer-Verlag GmbH
224 Seiten
Gewicht: 0,500 kg
Sprache: Englisch

Buch in der Datenbank seit 28.03.2009 05:54:26
Buch zuletzt gefunden am 25.10.2016 13:16:23
ISBN/EAN: 1849965277

ISBN - alternative Schreibweisen:
1-84996-527-7, 978-1-84996-527-9

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