User profiles for Mou Chen
Prof. Mou ChenNanjing University of Aeronautics and Astronautics Verified email at nuaa.edu.cn Cited by 14714 |
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
In this paper, adaptive tracking control is proposed for a class of uncertain multi-input and
multi-output nonlinear systems with non-symmetric input constraints. The auxiliary design …
multi-output nonlinear systems with non-symmetric input constraints. The auxiliary design …
Adaptive neural output feedback control of uncertain nonlinear systems with unknown hysteresis using disturbance observer
In this paper, an adaptive neural output feedback control scheme is proposed for uncertain
nonlinear systems that are subject to unknown hysteresis, external disturbances, and …
nonlinear systems that are subject to unknown hysteresis, external disturbances, and …
Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities
In this paper, robust adaptive neural network (NN) control is investigated for a general class
of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control …
of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with unknown control …
Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation
In this paper, a dynamic surface control (DSC) scheme is proposed for a class of uncertain
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
strict-feedback nonlinear systems in the presence of input saturation and unknown external …
Disturbance attenuation tracking control for wheeled mobile robots with skidding and slipping
M Chen - IEEE Transactions on Industrial Electronics, 2016 - ieeexplore.ieee.org
In this paper, a robust tracking control scheme is proposed for wheeled mobile robots with
skidding, slipping, and input disturbance. Considering the existing skidding and slipping, a …
skidding, slipping, and input disturbance. Considering the existing skidding and slipping, a …
Extended state observer-based integral sliding mode control for an underwater robot with unknown disturbances and uncertain nonlinearities
This paper develops a novel integral sliding mode controller (ISMC) for a general type of
underwater robots based on multiple-input and multiple-output extended-state-observer (MIMO-…
underwater robots based on multiple-input and multiple-output extended-state-observer (MIMO-…
Adaptive neural fault-tolerant control of a 3-DOF model helicopter system
In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three
degrees of freedom model helicopter, subject to system uncertainties, unknown external …
degrees of freedom model helicopter, subject to system uncertainties, unknown external …
Robust tracking control for self-balancing mobile robots using disturbance observer
M Chen - IEEE/CAA Journal of Automatica Sinica, 2017 - ieeexplore.ieee.org
In this paper, a robust tracking control scheme based on nonlinear disturbance observer is
developed for the self-balancing mobile robot with external unknown disturbances. A desired …
developed for the self-balancing mobile robot with external unknown disturbances. A desired …
Tracking flight control of quadrotor based on disturbance observer
M Chen, S Xiong, Q Wu - IEEE Transactions on Systems, Man …, 2019 - ieeexplore.ieee.org
In this paper, a tracking flight control scheme is proposed based on a disturbance observer
for a quadrotor with external disturbances. To facilitate the processing of external time-…
for a quadrotor with external disturbances. To facilitate the processing of external time-…
Off-line handwritten word recognition using a hidden Markov model type stochastic network
MY Chen, A Kundu, J Zhou - IEEE transactions on Pattern …, 1994 - ieeexplore.ieee.org
Because of large variations involved in handwritten words, the recognition problem is very
difficult. Hidden Markov models (HMM) have been widely and successfully used in speech …
difficult. Hidden Markov models (HMM) have been widely and successfully used in speech …