Parameter estimation in nonlinear control system based on social cognitive optimization

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (35): 222-223.

• 工程与应用 • Previous Articles Next Articles

Parameter estimation in nonlinear control system based on social cognitive optimization

LIU Guozhi，MIAO Chen

Department of Information & Computational Science，College of Science，Liaoning University of Petroleum & Chemical Technology，Fushun，Liaoning 113001，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-12-11 Published:2011-12-11

基于社会认知算法的非线性控制系统参数估计

刘国志，苗晨

辽宁石油化工大学理学院信息与计算科学系，辽宁抚顺 113001

Abstract

Abstract: The Social Cognitive Optimization（SCO） is used to estimate the parameters of Nonlinear Control System（NCS）.The effectiveness of the SCO is tested by parameter estimation of the three model.The experimental results show that the SCO algorithm provides an effective method to estimate parameters of NCS.

Key words: social cognitive optimization, nonlinear system, parameter estimation

摘要： 将社会认知算法用于非线性控制系统参数估计，并通过对三种典型的非线性控制系统参数估计进行验证。计算结果表明，社会认知算较其他的进化算法参数估计精度高，是一种有效的参数估计方法。

关键词: 社会认知算法, 非线性系统, 参数估计

LIU Guozhi，MIAO Chen. Parameter estimation in nonlinear control system based on social cognitive optimization[J]. Computer Engineering and Applications, 2011, 47(35): 222-223.

刘国志，苗晨. 基于社会认知算法的非线性控制系统参数估计[J]. 计算机工程与应用, 2011, 47(35): 222-223.

[1]	LIANG Jiaqi, BU Xuhui, LIU Jian. Iterative learning consensus tracking control for a class of multi-agent systems with data dropouts [J]. Computer Engineering and Applications, 2018, 54(20): 42-47.
[2]	GENG Hong, REN Daoxian, DU Peng. Dynamic parameter identification model of aircraft engine based on NARX neural network [J]. Computer Engineering and Applications, 2017, 53(12): 241-248.
[3]	PENG Xiaohua1, JIA Meizhen2, WANG Lei1. Solving a class of fuzzy nonlinear systems based on homotopy method [J]. Computer Engineering and Applications, 2015, 51(18): 38-41.
[4]	CHEN Yuchan, SHI Wuxi, CHEN Yimei. Adaptive fuzzy control of a class of uncertain non-affine nonlinear systems [J]. Computer Engineering and Applications, 2014, 50(8): 251-254.
[5]	LI Feixiang1, ZHAO Zhijin1，2, ZHAO Zhidong1. Variable step-size VLMP algorithm using divided-order gradient weighted average [J]. Computer Engineering and Applications, 2014, 50(4): 207-210.
[6]	WU Simin, CHEN Jun, LIU Fei. PID control of nonlinear systems based on multi-objective particle swarm optimization [J]. Computer Engineering and Applications, 2014, 50(23): 69-72.
[7]	YAN Pingping1, ZHAO Zhijin1，2, SHANG Junna1，2, ZHAO Zhidong1. Variable memory length LMP algorithm of second-order Volterra filter [J]. Computer Engineering and Applications, 2013, 49(3): 121-125.
[8]	LIU Suhong, LIU Chun’an. Multi-objective evolutionary algorithm for solving nonlinear system of equations [J]. Computer Engineering and Applications, 2013, 49(18): 48-51.
[9]	XU Zhicheng1, WANG Shuqing2. Parameter identification of nonlinear system model based on bacterial swarm foraging for optimization [J]. Computer Engineering and Applications, 2013, 49(1): 46-49.
[10]	WANG Haiying, LI Zushu, LONG Jushu. A class of three-dimensional dynamical system synchronous control and simulation [J]. Computer Engineering and Applications, 2012, 48(7): 217-218.
[11]	ZHANG Jiaoling. Artificial bee colony algorithm for solving nonlinear equation and system [J]. Computer Engineering and Applications, 2012, 48(22): 45-47.
[12]	LV Hui, LIU Heng, XIANG Wei. Adaptive fuzzy sliding mode control scheme for a class of uncertain nonlinear systems [J]. Computer Engineering and Applications, 2012, 48(20): 236-239.
[13]	ZHOU Baomin1，LIAO Ying2. Adaptive improved RBF neural network sliding mode control for unknown nonlinear systems [J]. Computer Engineering and Applications, 2011, 47(9): 243-245.
[14]	XU Li，LIU Fei. Constrained model predictive control for nonlinear system subject to actuator saturation [J]. Computer Engineering and Applications, 2011, 47(31): 245-248.
[15]	WU Zhihua^1，2，DING Yangbin¹，SHEN Gongxun¹. Modified nonlinear robust EKF algorithm and its applications [J]. Computer Engineering and Applications, 2011, 47(3): 207-209.

Parameter estimation in nonlinear control system based on social cognitive optimization

基于社会认知算法的非线性控制系统参数估计

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics