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International Journal of Automotive Technology > Volume 9(1); 2008 > Article
International Journal of Automotive Technology 2008;9(1): 103-110.
OPTIMAL CONTROLLER DESIGN FOR A CONSTRAINED POLYNOMIAL VEHICLE SYSTEM WITH AN INPUT-STATE LINEARIZED MODEL
Y. KIM, H. HARADA, T. NARIKIYO
Toyota Technological Institute
ABSTRACT
This paper presents a new controller design method based on a data-mining polynomial algorithm. We show application of a polynomial data-mining algorithm, where an input-state linearized polynomial vehicle model is developed for very low speed operation and, without introducing any processes with fudge factors, control inputs of a nonlinear system are obtained in the original coordinates. We verify the developed modeling method and controller design method through numerical experiments.
Key Words: Polynomial data-mining algorithm, Input-state linearization, Low speed operation of vehicle
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