Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm

被引：9
|
作者：
Gholipour, R. [1 ]
Khosravi, A. [1 ]
Mojallali, H. [2 ]
机构：
[1] Babol Univ Technol, Fac Elect & Comp Engn, Babol Sar, Iran
[2] Univ Guilan, Elect Enbineering Dept, Fac Engn, POB 3756, Rasht, Iran
来源：
INTERNATIONAL JOURNAL OF ENGINEERING | 2013年 / 26卷 / 03期
关键词：
Loranz Chaotic System; Parameter Estimation; Bees Algorithm; Mean Squared Errors;
D O I：
10.5829/idosi.ije.2013.26.03c.05
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An important problem in nonlinear science is estimation of unknown parameters in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Bees algorithm (BA) is a new member of meta-heuristics. BA tries to model natural behavior of honey bees in food foraging. This paper focuses on using the BA to solve this problem. Simulation results demonstrate the merit, effectiveness and robustness of BA.
引用
收藏
页码：257 / 262
页数：6
相关论文
共 50 条
  • [41] Dynamic algorithm for parameter estimation and its applications
    Maybhate, Anil
    Amritkar, R.E.
    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 2000, 61 (06): : 6461 - 6470
  • [42] Parameter Estimation of Essential Amino Acids in Arabidopsis thaliana Using Hybrid of Bees Algorithm and Harmony Search
    Aw, Mei Yee
    Mohamad, Mohd Saberi
    Chong, Chuii Khim
    Deris, Safaai
    Remli, Muhammad Akmal
    Ismail, Mohd Arfian
    Manuel Corchado, Juan
    Omatu, Sigeru
    PRACTICAL APPLICATIONS OF COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2019, 803 : 9 - 16
  • [43] Parameter estimation of photovoltaic cells using improved Lozi map based chaotic optimization Algorithm
    Pourmousa, Nafiseh
    Ebrahimi, S. Mohammadreza
    Malekzadeh, Milad
    Alizadeh, Mojtaba
    SOLAR ENERGY, 2019, 180 : 180 - 191
  • [44] Parameter estimation for chaotic systems using a hybrid adaptive cuckoo search with simulated annealing algorithm
    Sheng, Zheng
    Wang, Jun
    Zhou, Shudao
    Zhou, Bihua
    CHAOS, 2014, 24 (01)
  • [45] Parameter Estimation of Chaotic Dynamical Systems Using HEQPSO
    Ko, Chia-Nan
    Jau, You-Min
    Jeng, Jin-Tsong
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2015, 31 (02) : 675 - 689
  • [46] Parameter Estimation of an Induction Machine using a Dynamic Particle Swarm Optimization Algorithm
    Huynh, Duy C.
    Dunnigan, Matthew W.
    IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010), 2010, : 1414 - 1419
  • [47] Dynamic aerodynamic parameter estimation using a dynamic particle swarm optimization algorithm for rolling airframes
    Ayham Mohamad
    Jalal Karimi
    Alireza Naderi
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42
  • [48] Dynamic aerodynamic parameter estimation using a dynamic particle swarm optimization algorithm for rolling airframes
    Mohamad, Ayham
    Karimi, Jalal
    Naderi, Alireza
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2020, 42 (11)
  • [49] Parameter estimation for chaotic systems via a hybrid flower pollination algorithm
    Shuhui Xu
    Yong Wang
    Xue Liu
    Neural Computing and Applications, 2018, 30 : 2607 - 2623
  • [50] Parameter estimation for chaotic systems based on hybrid differential evolution algorithm
    Wang Jun-Yan
    Huang De-Xian
    ACTA PHYSICA SINICA, 2008, 57 (05) : 2755 - 2760
12345