A Double Function-Link Function-Based Fuzzy Brain Emotional Controller for Synchronizing a 4D Hyper-Chaotic System

Lin, Chih-Min; Le, Tien-Loc

doi:10.1109/smc42975.2020.9283202

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…To date, type-1 and type-2 intelligent control systems based on fuzzy inference systems (FIS) have developed rapidly in many fields [23,24]. Since the type-1 FIS (T1FIS) relies on fixed membership functions, it cannot efficiently deal with the uncertainties of the inputs and parameters of nonlinear systems.…”

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confidence: 99%

“…The trial-and-error approach is a common way to constrain the network structure dimension, but it usually takes a lot of time to train and learn and does not guarantee that the parameters and network structures can be precisely defined. For this reason, many studies have developed solutions that combine various effective techniques, additional networks and algorithms such as wavelet function [7,22], function link network [24] and self-organising algorithms [22,23].…”

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confidence: 99%

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Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

et al. 2022

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This paper presents a new hybrid neural network for time series prediction and chaotic synchronization. The proposed controller consists of a wavelet interval type-2 Takagi Sugeno Kang fuzzy brain emotional learning controller (WIT2TFBELC), a wavelet interval type-2 Takagi Sugeno Kang fuzzy cerebellar model articulation controller (WIT2TFCMAC), and a robust compensator (RB). The main controller combines the WIT2TFBELC and the WIT2TFCMAC. A TSK fuzzy system is used to create a hybrid structure with the WIT2TFBELC and the WIT2TFCMAC. The TSK fuzzy system can effectively adjust the weighting for the main controller to achieve the time series prediction and chaotic prediction with better tracking response. Morever a robust compensator is used to achieve robust ability of the system. A Lyapunov function was used to establish the adaptive laws and effectively adjust the system parameters online. Finally, two examples of the application of the proposed algorithm are presented to point out the performance of proposed method.INDEX TERMS TSK fuzzy system, Interval type-2 wavelet function, brain emotional learning control, cerebellar model articulation controller, 5D chaotic system, Henon map time series.

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Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

et al. 2022

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Interval type-2 fuzzy brain emotional control design for the synchronization of 4D nonlinear hyperchaotic systems

Lin

et al. 2021

Soft Comput

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This research provides a novel intelligent control structure for 4D nonlinear hyperchaotic systems. This is a hybrid design containing a new interval type-2 fuzzy fourfold function-link brain emotional controller and a smooth robust controller. It comprises a fuzzy inference system and three subnetworks. The subnetworks are a new fourfold function-link network, a type-2 fuzzy amygdala network and a type-2 fuzzy prefrontal cortex network that decrease the synchronization errors efficiently, follow the reference signal well and achieve good performance. Two Lyapunov stability functions are utilized to get the adaptive laws, and they are applied to online tune the parameters of the system. The proposed design is used to synchronize two 4D nonlinear hyperchaotic systems and the simulation results are given to demonstrate its superiority and effectiveness.

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Image Secure Communication Using BELC-CMAC and Chaos Synchronization

Lin

Pham

Sơn

2022

2022 6th International Conference on Green Technology and Sustainable Development (GTSD)

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A Double Function-Link Function-Based Fuzzy Brain Emotional Controller for Synchronizing a 4D Hyper-Chaotic System

Cited by 7 publications

References 12 publications

Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

Wavelet Interval Type-2 Takagi-Kang-Sugeno Hybrid Controller for Time-Series Prediction and Chaotic Synchronization

Interval type-2 fuzzy brain emotional control design for the synchronization of 4D nonlinear hyperchaotic systems

Image Secure Communication Using BELC-CMAC and Chaos Synchronization

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