Abstract
Ball and plate system is a typical multi-variable plant. This paper proposes the Fuzzy Neural Network control (FNNC) methods for tracking control of ball and plate system. The FNNC is optimized by the offline genetic algorithm (GA) of global searching. The simulation results show that the proposed FNNC works well in tracking control. Asymptotical stabilities are also achieved under unknown external disturbance in the experiments. This control scheme is compared with fuzzy control scheme, the result shows that GA-FNNC scheme has better control performance.
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Dong, Xc., Zhang, Z., Gu, Sf. (2009). Tracking Control of Ball and Plate System with GA-FNNC. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_125
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DOI: https://doi.org/10.1007/978-3-642-03664-4_125
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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