Synchronization of chaotic system using a brain-imitated neural network controller and its applications for secure communications
This paper proposes a new hybrid algorithm for secure communication applications. The
proposed algorithm includes a fuzzy brain emotional learning controller (FBELC), a …
proposed algorithm includes a fuzzy brain emotional learning controller (FBELC), a …
Wavelet interval type-2 Takagi-Kang-Sugeno hybrid controller for time-series prediction and chaotic synchronization
This paper presents a new hybrid neural network controller for time series prediction and
chaotic synchronization. The proposed controller is called as a wavelet interval type-2 …
chaotic synchronization. The proposed controller is called as a wavelet interval type-2 …
Encryption and decryption of audio signal and image secure communications using chaotic system synchronization control by TSK fuzzy brain emotional learning …
In this article, a new idea of chaos synchronization and chaos-based secure communication
is developed. First, the chaotic master system is used as a transmitter in chaos-based secure …
is developed. First, the chaotic master system is used as a transmitter in chaos-based secure …
Decoupled sliding mode control of underactuated nonlinear systems using a fuzzy brain emotional cerebellar model control system
This paper proposes a new intelligent control algorithm for the decoupling control of a class
of single-input fourth-order underactuated nonlinear systems. By introducing an intermediate …
of single-input fourth-order underactuated nonlinear systems. By introducing an intermediate …
A new self-organizing double function-link brain emotional learning controller for MIMO nonlinear systems using sliding surface
This paper aims to propose a new type of neural network which is the self-organizing double
function-link brain emotional learning controller (SO-DFL-BELC) for multiple input multiple …
function-link brain emotional learning controller (SO-DFL-BELC) for multiple input multiple …
Fuzzy hybrid neural network control for uncertainty nonlinear systems based on enhancement search algorithm
This study aims to propose a more efficient control system for uncertain nonlinear systems. A
new fuzzy hybrid neural network named as backstepping self-organizing hybrid function-link …
new fuzzy hybrid neural network named as backstepping self-organizing hybrid function-link …
Fixed-time sliding mode synchronization of uncertain fractional-order hyperchaotic systems by using a novel non-singleton-interval type-2 probabilistic fuzzy neural …
KY Shao, A Feng, TT Wang - Fractal and Fractional, 2023 - mdpi.com
In this study, we proposed a sliding mode control method based on fixed-time sliding mode
surface for the synchronization of uncertain fractional-order hyperchaotic systems. In …
surface for the synchronization of uncertain fractional-order hyperchaotic systems. In …
Coordinated fuzzy adaptive iterative learning control of consensus for unknown nonlinear multi-agent systems
M Liang, J Li, J Li - International Journal of Fuzzy Systems, 2022 - Springer
This paper studies the leader-following consensus problems of the first-order and second-
order unknown nonlinear multi-agent systems with unknown bounded disturbance. With …
order unknown nonlinear multi-agent systems with unknown bounded disturbance. With …
Performance assessment of fuzzy logic control approach for MR-damper based-transfemoral prosthetic leg
Transfemoral amputation commonly occurs due to some stroke, diabetes, physical or mental
trauma, which reduces the person's movement capability. Therefore, an efficient prosthetic …
trauma, which reduces the person's movement capability. Therefore, an efficient prosthetic …
A recurrent wavelet-based brain emotional learning network controller for nonlinear systems
Conventional control systems often suffer from the coexistence of nonlinearity and
uncertainty. This paper proposes a novel brain emotional neural network to support …
uncertainty. This paper proposes a novel brain emotional neural network to support …