正在加载图片...
曹法如等:改进人工鱼群算法及其在时滞系统辨识中的应用 ·625· 网络优化.北京航空航天大学学报,2010,36(3):373) 程模型辨识中的应用.中国电机工程学报,2007,27(5): B]Chen X Q,Liu J M,Huang Y W,et al.Transformer fault diagno- 87) sis using improved artificial fish swarm with rough set algorithm. [8]Luitel B.Venayagamoorthy GK.Particle swarm optimization with High Voltage Eng,2012,38(6):1403 quantum infusion for system identification.Eng Appl Artif Intell, (陈小青,刘觉民,黄英伟,等.采用改进人工鱼群优化粗糙 2010,23(5):635 集算法的变压器故障诊断.高电压技术,2012,38(6): Huang Y,Han P,Liu C L,et al.An improved quantum particle 1403) swarm optimization and its application in system identification. 4]Yang S X,Han Q,Xu L Q,et al.Comprehensive effect evalua- Proc CSEE,2011,31(20):114 tion of energy saving and emission reduction based on fish-swarm (黄宇,韩璞,刘长良,等.改进量子粒子群算法及其在系统辨 algorithm optimizing neural network.J Cent South Univ Sci Techn- 识中的应用.中国电机工程学报,2011,31(20):114) od,2012,43(4):1538 [10]Nelles 0.Nonlinear System Identification:from Classical Approa- (杨淑霞,韩奇,徐琳茜,等.鱼群算法与神经网络结合的节能 ches to Neural Networks and Fuzy Models.Dordrecht:Springer 减排效果评价.中南大学学报(自然科学版),2012,43(4): Science Business Media,2013 1538) [11]Peng PZ,Yu Y,Wang Z J,et al.Improved global artificial fish [5]Meng Q B.Yi Y X,Qiao G L.PID controller parameters identifi- swarm algorithm based on simplex method.Comput Technol Der, cation based on the fastest model of inertial feature systems.J 2015,25(8):75 Univ Sci Technol Beijing,2010,32(10):1366 (彭培真,俞毅,王兆嘉,等.基于单纯形的改进全局人工鱼 (孟庆波,尹怡欣,乔桂玲.惯性特征系统最速特征模型PD 群优化算法.计算机技术与发展,2015,25(8):75) 控制参数辨识.北京科技大学学报,2010,32(10):1366) [12]Wang L G,Hong Y,Zhao F Q,et al.Improved artificial fish [6]Liu C L,Yu X N.Yao W Y,et al.Model identification of power swarm algorithm.Comput Eng,2009,34(19):192 plant thermal process based on genetic algorithm.Proc CSEE, (王联国,洪毅,赵付青,等.一种改进的人工鱼群算法.计 2003,23(3):170 算机工程,2008,34(19):192) (刘长良,于希宁,姚万业,等.基于遗传算法的火电厂热工过 [13]Wang QG,Zhang Y.Robust identification of continuous systems 程模型辨识.中国电机工程学报,2003,23(3):170) with dead-time from step responses.Automatica,2001,37(3): Jiao S M,Han P,Huang Y,et al.Fuzzy quantum genetic algo- 377 rithm and its application research in thermal process identification. [14]Liu T,Gao F R.A frequency domain step response identification Proc CSEE,2007,27(5):87 method for continuous-time processes with time delay.J Proces (焦嵩鸣,韩璞,黄宇,等。模糊量子遗传算法及其在热工过 Control,2010,20(7):800曹法如等: 改进人工鱼群算法及其在时滞系统辨识中的应用 网络优化. 北京航空航天大学学报,2010,36( 3) : 373) [3] Chen X Q,Liu J M,Huang Y W,et al. Transformer fault diagno￾sis using improved artificial fish swarm with rough set algorithm. High Voltage Eng,2012,38( 6) : 1403 ( 陈小青,刘觉民,黄英伟,等. 采用改进人工鱼群优化粗糙 集算法 的 变 压 器 故 障 诊 断. 高 电 压 技 术,2012,38 ( 6 ) : 1403) [4] Yang S X,Han Q,Xu L Q,et al. Comprehensive effect evalua￾tion of energy saving and emission reduction based on fish-swarm algorithm optimizing neural network. J Cent South Univ Sci Techn￾ol,2012,43( 4) : 1538 ( 杨淑霞,韩奇,徐琳茜,等. 鱼群算法与神经网络结合的节能 减排效果评价. 中南大学学报( 自然科学版) ,2012,43 ( 4) : 1538) [5] Meng Q B,Yi Y X,Qiao G L. PID controller parameters identifi￾cation based on the fastest model of inertial feature systems. J Univ Sci Technol Beijing,2010,32( 10) : 1366 ( 孟庆波,尹怡欣,乔桂玲. 惯性特征系统最速特征模型 PID 控制参数辨识. 北京科技大学学报,2010,32( 10) : 1366) [6] Liu C L,Yu X N,Yao W Y,et al. Model identification of power plant thermal process based on genetic algorithm. Proc CSEE, 2003,23( 3) : 170 ( 刘长良,于希宁,姚万业,等. 基于遗传算法的火电厂热工过 程模型辨识. 中国电机工程学报,2003,23( 3) : 170) [7] Jiao S M,Han P,Huang Y,et al. Fuzzy quantum genetic algo￾rithm and its application research in thermal process identification. Proc CSEE,2007,27( 5) : 87 ( 焦嵩鸣,韩璞,黄宇,等. 模糊量子遗传算法及其在热工过 程模型辨识中的应用. 中国电机工程学报,2007,27 ( 5) : 87) [8] Luitel B,Venayagamoorthy G K. Particle swarm optimization with quantum infusion for system identification. Eng Appl Artif Intell, 2010,23( 5) : 635 [9] Huang Y,Han P,Liu C L,et al. An improved quantum particle swarm optimization and its application in system identification. Proc CSEE,2011,31( 20) : 114 ( 黄宇,韩璞,刘长良,等. 改进量子粒子群算法及其在系统辨 识中的应用. 中国电机工程学报,2011,31( 20) : 114) [10] Nelles O. Nonlinear System Identification: from Classical Approa￾ches to Neural Networks and Fuzzy Models. Dordrecht: Springer Science & Business Media,2013 [11] Peng P Z,Yu Y,Wang Z J,et al. Improved global artificial fish swarm algorithm based on simplex method. Comput Technol Dev, 2015,25( 8) : 75 ( 彭培真,俞毅,王兆嘉,等. 基于单纯形的改进全局人工鱼 群优化算法. 计算机技术与发展,2015,25( 8) : 75) [12] Wang L G,Hong Y,Zhao F Q,et al. Improved artificial fish swarm algorithm. Comput Eng,2009,34( 19) : 192 ( 王联国,洪毅,赵付青,等. 一种改进的人工鱼群算法. 计 算机工程,2008,34( 19) : 192) [13] Wang Q G,Zhang Y. Robust identification of continuous systems with dead-time from step responses. Automatica,2001,37( 3) : 377 [14] Liu T,Gao F R. A frequency domain step response identification method for continuous-time processes with time delay. J Process Control,2010,20( 7) : 800 · 526 ·
<<向上翻页
©2008-现在 cucdc.com 高等教育资讯网 版权所有