Intelligent Global Sliding Mode Control Using Recurrent Feature Selection Neural Network for Active Power Filter
作者： Shixi Hou , Yundi Chu , Juntao Fei
关键词:
摘要: … sliding mode. Therefore, as mentioned before, the global robustness can be assured. Remark 5: It should be noted that different from quasi sliding mode control … -order sliding mode, the …
sci-hub.st 参考文章(32)
Saleh Mobayen, Dumitru Baleanu, Linear matrix inequalities design approach for robust stabilization of uncertain nonlinear systems with perturbation based on optimally-tuned global sliding mode control: Journal of Vibration and Control. ,vol. 23, pp. 1077546315592516- ,(2017) , 10.1177/1077546315592516
Peng Shi, Ming Liu, Lixian Zhang, Fault-Tolerant Sliding-Mode-Observer Synthesis of Markovian Jump Systems Using Quantized Measurements IEEE Transactions on Industrial Electronics. ,vol. 62, pp. 5910- 5918 ,(2015) , 10.1109/TIE.2015.2442221
Surajit Chattopadhyay, Madhuchhanda Mitra, Samarjit Sengupta, Surajit Chattopadhyay, Madhuchhanda Mitra, Samarjit Sengupta, Electric Power Quality ,(2011)
Ning Wang, Meng Joo Er, Self-Constructing Adaptive Robust Fuzzy Neural Tracking Control of Surface Vehicles With Uncertainties and Unknown Disturbances IEEE Transactions on Control Systems and Technology. ,vol. 23, pp. 991- 1002 ,(2015) , 10.1109/TCST.2014.2359880
YU-SHENG LU, JIAN-SHIANG CHEN, Design of a global sliding-mode controller for a motor drive with bounded control International Journal of Control. ,vol. 62, pp. 1001- 1019 ,(1995) , 10.1080/00207179508921579
Shixi Hou, Juntao Fei, Adaptive fuzzy backstepping control of three-phase active power filter Control Engineering Practice. ,vol. 45, pp. 12- 21 ,(2015) , 10.1016/J.CONENGPRAC.2015.08.005
Hyeung-sik Choi, Yong-heon Park, Yongsung Cho, Minho Lee, Global sliding-mode control. Improved design for a brushless DC motor IEEE Control Systems Magazine. ,vol. 21, pp. 27- 35 ,(2001) , 10.1109/37.924795
P. Padungweang, C. Lursinsap, K. Sunat, A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle IEEE Transactions on Neural Networks. ,vol. 23, pp. 1587- 1600 ,(2012) , 10.1109/TNNLS.2012.2208269
Rudrasis Chakraborty, Nikhil R. Pal, Feature Selection Using a Neural Framework With Controlled Redundancy IEEE Transactions on Neural Networks. ,vol. 26, pp. 35- 50 ,(2015) , 10.1109/TNNLS.2014.2308902
D. Efimov, L. Fridman, Global sliding-mode observer with adjusted gains for locally Lipschitz systems Automatica. ,vol. 47, pp. 565- 570 ,(2011) , 10.1016/J.AUTOMATICA.2010.12.003