Abstract
The paper presents a robust Guaranteed Cost Control (GCC) for nonlinear system using Product Reduction Algorithm (PRA). The proposed approach starts with a general description of the nonlinear system with nonlinear term in the state equation and assumptions regarding to a nonlinear function. The subsequent part of the paper is concerned with the design of the robust controller using Linear Matrix Inequalities (LMIs). Next, an algorithm to solve linear optimization problem base on PRA is proposed. The final part presents results obtained for the two–tank system.
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Buciakowski, M., Pazera, M., Witczak, M. (2018). Robust Guaranteed Cost Control for Nonlinear System Using Product Reduction Algorithm. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_7
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DOI: https://doi.org/10.1007/978-3-319-64474-5_7
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