[1]ZHANG Junling,CHEN Zengqiang,ZHANG Qing.Elman model-free control method based on particle swarm optimization algorithm[J].CAAI Transactions on Intelligent Systems,2016,11(1):49-54.[doi:10.11992/tis.201507025]
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Elman model-free control method based on particle swarm optimization algorithm

References:
[1] 侯忠生, 韩志刚. 非线性系统鲁棒无模型学习自适应控制[J]. 控制与决策, 1995, 10(2):137-142. HOU Zhongsheng, HAN Zhigang. Robust modelless learning adaptive control of nonlinear systems[J]. Control and decision, 1995, 10(2):137-142.
[2] 李秀英, 李桂英, 毛琳, 等. 采用改进粒子群算法的非线性大时滞系统无模型控制[J]. 智能系统学报, 2013, 8(3):254-260. LI Xiuying, LI Guiying, MAO Lin, et al. Model-free control method for a nonlinear system with large time-delay based on IPSO[J]. CAAI transactions on intelligent systems, 2013, 8(3):254-260.
[3] LEE K Y, KO H S, KIM H C, et al. A free model based intelligent controller design and its application to power system stabilization[C]//Proceedings of the IEEE Power Engineering Society Summer Meeting. Seattle, WA, USA, 2000, 4:1985-1989.
[4] SPALL J C, CRISTION J A. Model-free control of nonlinear stochastic systems in discrete time[C]//Proceedings of the 34th IEEE International Conference on Decision and Control. New Orleans, LA, USA, 1995, 3:2199-2204.
[5] CHENG G S. Model-free adaptive (MFA) control[J]. Computing & Control Engineering, 2004, 15(3):28-33.
[6] 刘德荣, 李宏亮, 王鼎. 基于数据的自学习优化控制:研究进展与展望[J]. 自动化学报, 2013, 39(11):1858-1870. LIU Derong, LI Hongliang, WANG Ding. Data-based self-learning optimal control:research progress and prospects[J]. Acta automatica sinica, 2013, 39(11):1858-1870.
[7] ZHANG L, WANG N. Double neuron model-free control for pH processes[C]//Proceedings of 2010 Chinese Control and Decision Conference. Xuzhou, China, 2010:2867-2871.
[8] ELMAN J L. Finding structure in time[J]. Cognitive science, 1990, 14(2):179-211.
[9] LI Xiang, CHEN Zengqiang, YUAN Zhuzhi. Nonlinear stable adaptive control based upon Elman networks[J]. Applied mathematics:a Journal of Chinese universities, 2000, 15(3):332-340.
[10] 王俭臣, 齐晓慧, 单甘霖. 基于EPSO-BP的Elman网络及其在飞行轨迹预测中的应用[J]. 控制与决策, 2013, 28(12):1884-1888. WANG Jianchen, QI Xiaohui, SHAN Ganlin. Elman network based on EPSO-BP and its application in flight trajectory prediction[J]. Control and decision, 2013, 28(12):1884-1888.
[11] KENNEDY J, EBERHART R. Particle swarm optimization[C]//Proceedings of the IEEE International Conference on Neural Networks. Perth, WA, USA, 1995, 4:1942-1948.
[12] 赵勇, 岳继光, 李炳宇, 等. 一种新的求解复杂函数优化问题的并行粒子群算法[J]. 计算机工程与应用, 2005, 41(16):58-60, 64. ZHAO Yong, YUE Jiguang, LI Bingyu, et al. A parallel particle swarm optimization algorithm based on multigroup for solving complex functions optimization[J]. Computer engineering and applications, 2005, 41(16):58-60, 64.
[13] 岑翼刚, 秦元庆, 孙德宝, 等. 粒子群算法在小波神经网络中的应用[J]. 系统仿真学报, 2004, 16(12):2783-2785, 2788. CEN Yigang, QIN Yuanqing, SUN Debao, et al. Application of PSO algorithm in wavelet neural network[J]. Acta simulata systematica sinica, 2004, 16(12):2783-2785, 2788.
[14] 李宁, 邹彤, 孙德宝, 等. 基于粒子群的多目标优化算法[J]. 计算机工程与应用, 2005, 41(23):43-46. LI Ning, ZOU Tong, SUN Debao, et al. Multi-objective optimization utilizing particle swarm[J]. Computer engineering and applications, 2005, 41(23):43-46.
[15] 孙胜永, 胡双演, 李钊, 等. 基于粒子群优化算法的BP神经网络图像复原[J]. 无线电工程, 2014, 44(10):5-7. SUN Shengyong, HU Shuangyan, LI Zhao, et al. BP Neural Network for image restoration based on Particle Swarm Optimization[J]. Radio engineering, 2014, 44(10):5-7.
[16] 金尚泰, 侯忠生, 池荣虎, 等. 侯离散时间非线性系统的数据驱动无模型自适应迭代学习控制[J]. 控制理论与应用, 2012, 29(8):1001-1009.JIN Shangtai, HOU Zhongsheng, CHI Ronghu, et al. Data-driven model-free adaptive iterative learning control for a class of discrete-time nonlinear systems[J]. Control theory & applications, 2012, 29(8):1001-1009.
[17] NARENDRA K S, MUKHOPADHYAY S. Adaptive control using neural networks and approximate models[J]. IEEE transactions on neural networks, 1997, 8(3):475-485.
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