Self-organizing rule-based control of multivariable nonlinear servomechanisms

Author:

Nie Junhong,Lee T.H.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference20 articles.

1. Learning control theory for robotic motion;Arimoto;Int. J. Adaptive Control Signal Process.,1990

2. Using associative content-addressable memories to control robots;Atkeson,1990

3. Introduction to Robotics: Mechanics and Control;Craig,1989

4. Adaptive control of mechanical manipulators;Craig;Int. J. Robotics Res.,1987

5. Counterpropagation network;Hecht-Nielsen;Appl. Opt.,1987

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1. Multivariable Fuzzy Logic/Self-organizing for Anesthesia Control;Journal of Medical and Biological Engineering;2010

2. Monitoring and Control of Anesthesia Using Multivariable Self-Organizing Fuzzy Logic Structure;Fuzzy Systems in Bioinformatics and Computational Biology;2009

3. A self-organizing feature map-driven approach to fuzzy approximate reasoning;Expert Systems with Applications;2007-08

4. Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems;Advances in Neural Networks - ISNN 2006;2006

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