インテリジェント制御システムのソフト演算最適化装置

Japanese Patent JP2007500379

A

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.

JP2836102	[Title of Invention] Speech recognition device
JPH05314285	FUZZY CONTROL SYSTEM
JPH0512024	FUZZY CONTROLLER

Sergey Buoy. Ulyanov
Sergey A. Panfilov
Ludmila Litobin Tseba
Victor S. Ulyanov
Kazuki Takahashi

JP2006521300A

January 11, 2007

July 23, 2004

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YAMAHA HATSUDOKI KABUSHIKI KAISHA
Yamaha Motor Corporation, USS.A.

G06N7/02; G05B13/02; G06F15/18; G06F17/00; G06G7/00; G06N3/00; G06N5/02; G06N5/04; G06N7/00; G06N7/08; H04N5/91

Hidetoshi Ueba

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