Patent ID: 7251638
Filing Date: 2007-07-31
Classification: B62K

Abstract:
1. A method for optimizing a knowledge base in a soft computing controller for maneuvering a motorcycle, comprising: selecting a fuzzy model by selecting one or more parameters, said one or more parameters comprising at least one of a number of input variables, a number of output variables, a type of fuzzy inference model, and a teaching signal; optimizing linguistic variable parameters of a knowledge base according to said one or more parameters to produce optimized linguistic variables according to a teaching signal obtained from a dynamic simulation model of a motorcycle and rider; ranking rules in said rule base according to firing strength; and eliminating rules with relatively weak firing strength leaving selected rules from said rules in said rule base; optimizing said selected rules, using said fuzzy model, said linguistic variable parameters and said optimized linguistic variables, to produce optimized selected rules.