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.
展开▼
