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Title:
SOFT COMPUTING OPTIMIZER OF INTELLIGENT CONTROL SYSTEM STRUCTURES
Document Type and Number:
WIPO Patent Application WO2005013019
Kind Code:
A3
Abstract:
The present invention involves a Soft Computing (SC) optimizer for designing a Knowledge Base (KB) to be used in a control system for controlling a plant such as, for example, an internal combustion engine or an automobile suspension system. The SC optimizer includes a fuzzy inference engine based on a Fuzzy Neural Network (FNN). The SC Optimizer provides Fuzzy Inference System (FIS) structure selection, FIS structure optimization method selection, and teaching signal selection and generation. The user selects a fuzzy model, including one or more of: the number of input and/or output variables; the type of fuzzy inference model (e.g., Mamdani, Sugeno, Tsukamoto, etc.); and the preliminary type of membership functions. A Genetic Algorithm (GA) is used to optimize linguistic variable parameters and the input-output training patterns. A GA is also used to optimize the rule base, using the fuzzy model, optimal linguistic variable parameters, and a teaching signal. The GA produces a near-optimal FNN. The near-optimal FNN can be improved using classical derivative-based optimization procedures. The FIS structure found by the GA is optimized with a fitness function based on a response of the actual plant model of the controlled plant. The SC optimizer produces a robust KB that is typically smaller that the KB produced by prior art methods.

Inventors:
ULYANOV SERGEI V (IT)
PANFILOV SERGEI A (IT)
LITVINTSEVA LUDMILA (IT)
ULYANOV VIKTOR S (IT)
TAKAHASHI KAZUKI (IT)
Application Number:
PCT/US2004/023970
Publication Date:
January 26, 2006
Filing Date:
July 23, 2004
Export Citation:
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Assignee:
YAMAHA MOTOR CO LTD (JP)
YAMAHA MOTOR CORP USA (US)
ULYANOV SERGEI V (IT)
PANFILOV SERGEI A (IT)
LITVINTSEVA LUDMILA (IT)
ULYANOV VIKTOR S (IT)
TAKAHASHI KAZUKI (IT)
International Classes:
G06N5/02; G06F15/18; G06F17/00; G06G7/00; G06N5/04; G06N7/00; G06N7/08; H04N5/91
Foreign References:
US20030093392A12003-05-15
EP1085460A22001-03-21
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