Intelligent robust control system for motorcycle using soft computing optimizer

A soft computing optimizer for designing a knowledge base to be used in a soft computing control of a motorcycle steering system, comprising a fuzzy inference engine, a user input module configured to allow a user to select at least one optimization parameter, said optimization parameter comprising...

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Bibliographische Detailangaben
Hauptverfasser:	FUJII, SHIGERU, TAKAHASHI, KAZUKI, PANFILOV, SERGEY, ULYANOV, SERGEY, WATANABE, HITOSHI
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ACCESSORIES PECULIAR TO CYCLES AND NOT OTHERWISE PROVIDED FOR,e.g. ARTICLE CARRIERS, CYCLE PROTECTORS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING CYCLE AXLE SUSPENSIONS CYCLE FRAMES CYCLE SADDLES OR SEATS CYCLE SIDE-CARS, FORECARS, OR THE LIKE CYCLE STEERING DEVICES CYCLES LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS PERFORMING OPERATIONS PHYSICS RIDER-OPERATED TERMINAL CONTROLS SPECIALLY ADAPTED FORCYCLES TRANSPORTING
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Beschreibung
Zusammenfassung:	A soft computing optimizer for designing a knowledge base to be used in a soft computing control of a motorcycle steering system, comprising a fuzzy inference engine, a user input module configured to allow a user to select at least one optimization parameter, said optimization parameter comprising at least one of, a number of input variables of said knowledge base, a number of output variables of said knowledge base, a type of fuzzy inference model used by said fuzzy inference engine, and a preliminary type of membership function, a dynamic simulation model of a motorcycle and rider, a genetic algorithm configured to optimize said knowledge base using said fuzzy inference engine to control a dynamic simulation, said genetic algorithm configured to optimize said at least one optimization parameter.