Brain–machine interfaces using functional near-infrared spectroscopy: a review
Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for acquiring
hemodynamic signals from the brain with advantages of portability, affordability, low …
hemodynamic signals from the brain with advantages of portability, affordability, low …
Lag synchronization of coupled time-delayed FitzHugh–Nagumo neural networks via feedback control
Synchronization plays a significant role in information transfer and decision-making by
neurons and brain neural networks. The development of control strategies for synchronizing …
neurons and brain neural networks. The development of control strategies for synchronizing …
Aperiodically synchronization of multi-links delayed complex networks with semi-Markov jump and their numerical simulations to single-link robot arms
C Gao, B Guo, Y **ao, J Bao - Neurocomputing, 2024 - Elsevier
This paper investigates the p th moment exponential synchronization problem of multi-links
stochastic delayed complex networks with semi-Markov jump via aperiodically intermittent …
stochastic delayed complex networks with semi-Markov jump via aperiodically intermittent …
Synchronisation of stochastic T–S fuzzy multi‐weighted complex dynamical networks with actuator fault and input saturation
This study is concerned with the exponential synchronisation problem of multi‐weighted
stochastic fuzzy complex dynamical networks subject to time‐varying actuator faults and …
stochastic fuzzy complex dynamical networks subject to time‐varying actuator faults and …
Multi-layer feed-forward neural network deep learning control with hybrid position and virtual-force algorithm for mobile robot obstacle avoidance
W Zheng, HB Wang, ZM Zhang, N Li, PH Yin - International Journal of …, 2019 - Springer
This paper addresses the trajectory tracking and obstacle avoidance control problems for a
class of mobile robot systems. Two classes of controllers are designed for the mobile robot …
class of mobile robot systems. Two classes of controllers are designed for the mobile robot …
Cluster synchronization of fractional-order complex networks via uncertainty and disturbance estimator-based modified repetitive control
The combined problems of cluster synchronization and disturbance rejection for a family of
fractional-order complex networks subject to coupling delay, unknown uncertainty and …
fractional-order complex networks subject to coupling delay, unknown uncertainty and …
Stability control of a two‐lane car‐following model based on cluster synchronization of complex network
W Du, Y Li, J Zhang - Optimal Control Applications and …, 2024 - Wiley Online Library
The article investigated the stability of a two‐lane car‐following model with lateral friction on
the basis of cluster synchronization theory of complex network. By using the Lyapunov …
the basis of cluster synchronization theory of complex network. By using the Lyapunov …
Tracking control for the dynamic links of discrete-time complex dynamical network via state observer
L Liu, Y Wang, Z Gao - Applied Mathematics and Computation, 2020 - Elsevier
In this paper, a class of discrete-time complex dynamical networks with time-varying links is
regarded to be composed of the nodes subsystem and links subsystem which are mutually …
regarded to be composed of the nodes subsystem and links subsystem which are mutually …
Uncertainty and disturbance rejections of complex dynamical networks via truncated predictive control
This study investigates the combined problems of uncertainty and disturbance rejections
and synchronization of a class of complex dynamical networks with input delay. Specifically …
and synchronization of a class of complex dynamical networks with input delay. Specifically …
Delay‐dependent criteria for general decay synchronization of discontinuous fuzzy neutral‐type neural networks with time‐varying delays
This paper aims to investigate the general decay synchronization analysis of discontinuous
fuzzy neutral‐type neural networks. Under the framework of Filippov solutions, based on …
fuzzy neutral‐type neural networks. Under the framework of Filippov solutions, based on …