A course control system of unmanned surface vehicle (USV) using back-propagation neural network (BPNN) and artificial bee colony (ABC) algorithm
Author:
Publisher
Elsevier BV
Subject
General Engineering
Reference11 articles.
1. Mu D, Zhao Y, Wang G, et al. Course control of USV based on fuzzy adaptive guide control. Presented at the 2016 Chinese Control and Decision Conference (CCDC), May 28, 2016.
2. Fan Y, Sun X, Wang G, et al. On fuzzy self-adaptive PID control for USV course. Presented at Control Conference IEEE, 2015.
3. Zouari F, Boulkroune A, Ibeas A, et al. Observer-based adaptive neural network control for a class of MIMO uncertain nonlinear time-delay non-integer-order systems with asymmetric actuator saturation. Neural Computing & Applications, p.1-18, 2016.
4. Li Chi, Li Lin. Application of BP Neural Network Based on Genetic Algorithms Optimization in Prediction of Postgraduate Entrance Examination. Presented at 2016 3rd International Conference on Information Science and Control Engineering (ICISCE). p. 226-229, IEEE Computer Society, 2016.
5. Karaboga D, Basturk B. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. Journal of Global Optimization, vol.3, no.39, p. 459-471, 2007.
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