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.
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Kim, Y., Harada, H. & Narikiyo, T. Optimal controller design for a constrained polynomial vehicle system with an input-state linearized model. Int.J Automot. Technol. 9, 103–110 (2008). https://doi.org/10.1007/s12239-008-0013-x
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DOI: https://doi.org/10.1007/s12239-008-0013-x