Parameter estimation for chaotic systems using the cuckoo search algorithm with an orthogonal learning method

2012 ◽  
Vol 21 (5) ◽  
pp. 050507 ◽  
Author(s):  
Xiang-Tao Li ◽  
Ming-Hao Yin
Keyword(s):  
Parameter Estimation ◽  
Chaotic Systems ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Learning Method ◽  
Orthogonal Learning

scholarly journals A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models

Energies ◽  
2018 ◽  
Vol 11 (5) ◽  
pp. 1060 ◽  
Author(s):  
Tong Kang ◽  
Jiangang Yao ◽  
Min Jin ◽  
Shengjie Yang ◽  
ThanhLong Duong
Keyword(s):  
Parameter Estimation ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Improved Cuckoo Search Algorithm

Combination of Improved OGY and Guiding Orbit Method for Chaos Control

2019 ◽  
Vol 23 (5) ◽  
pp. 847-855 ◽  
Author(s):  
Lingzhi Yi ◽  
Yue Liu ◽  
Wenxin Yu ◽  
◽  
◽  
...  
Keyword(s):  
Chaotic System ◽  
Chaos Control ◽  
Chaotic Systems ◽  
Control Method ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Convergence Speed ◽  
Orbit Method ◽  
Modified Method

Chaotic systems have gathered much attention. When the OGY method is applied to control a chaotic system, chaos can be contained and target signals can be traced with satisfactory accuracy. However, the traditional control method have a low convergence speed, which may hamper the performance of the whole system. To solve this problem, the cuckoo search algorithm is used to guide the orbits of chaotic systems. Moreover, the OGY method is improved so that a chaotic system can be stabilized for different target points. Finally, the effectiveness of the proposed method is verified through several typical chaotic systems. The simulation results indicate that the modified method has a faster convergence speed and yields better performance than the traditional OGY control method.

scholarly journals A hybrid control strategy based on CSA and ELM for uncertain nonlinear chaotic system

2020 ◽  
Vol 14 ◽  
pp. 174830262092250
Author(s):  
Yan Li ◽  
Yigang He ◽  
Wenxin Yu
Keyword(s):  
Extreme Learning Machine ◽  
Chaotic System ◽  
Control Strategy ◽  
Chaotic Systems ◽  
Hybrid Control ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Nonlinear Chaotic System ◽  
Learning Machine

The study of nonlinear chaotic systems and their control is an important topic. In this paper, a hybrid control strategy based on cuckoo search algorithm and extreme learning machine is proposed. Cuckoo search algorithm is used in a hybrid control strategy in order to optimise the weights and biases in extreme learning machine leading to the improvement of its performance. Simulations indicate that the proposed method is able to fit nonlinear chaotic systems and control chaotic systems effectively. Data used in the nonlinear chaotic system are also tested for uncertainty and unknown systems. Simulation results confirm that the proposed method shows robustness for noisy data and perturbed parameters.

Parameter estimation of Takagi–Sugeno fuzzy system using heterogeneous cuckoo search algorithm

2015 ◽  
Vol 151 ◽  
pp. 1332-1342 ◽  
Author(s):  
Xueming Ding ◽  
Zhenkai Xu ◽  
Ngaam J. Cheung ◽  
Xiaohui Liu
Keyword(s):  
Parameter Estimation ◽  
Fuzzy System ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Takagi Sugeno
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