Search research articles
Contact Us
Filters
Showing results (1-10 of 18) with videos related to
Page
of 2
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society
|
April 5, 2011
An H(∞) control approach to robust learning of feedforward neural networks
Xingjian Jing
Neural Networks : the Official Journal of the International Neural Network Society
|
March 31, 2012
Robust adaptive learning of feedforward neural networks via LMI optimizations
Xingjian Jing
IEEE Transactions on Cybernetics
|
March 1, 2020
A Bioinspired Dynamics-Based Adaptive Fuzzy SMC Method for Half-Car Active Suspension Systems With Input Dead Zones and Saturations
Menghua Zhang, Xingjian Jing
IEEE Transactions on Cybernetics
|
April 19, 2021
Energy-Saving Robust Saturated Control for Active Suspension Systems via Employing Beneficial Nonlinearity and Disturbance
Menghua Zhang, Xingjian Jing
Robotics and Biomimetics
|
December 5, 2017
A tracked robot with novel bio-inspired passive "legs"
Bo Sun, Xingjian Jing
IEEE Transactions on Neural Networks and Learning Systems
|
October 30, 2015
Identification of Nonlinear Spatiotemporal Dynamical Systems With Nonuniform Observations Using Reproducing-Kernel-Based Integral Least Square Regulation
Hanwen Ning, Guangyan Qing, Xingjian Jing
IEEE Transactions on Neural Networks
|
July 27, 2011
Online identification of nonlinear spatiotemporal systems using kernel learning approach
Hanwen Ning, Xingjian Jing, Li Cheng
IEEE Transactions on Cybernetics
|
November 8, 2022
Neuroadaptive Control for Active Suspension Systems With Time-Varying Motion Constraints: A Feasibility-Condition-Free Method
Zhiguang Feng, Rui-Bing Li, Xingjian Jing
IEEE Transactions on Neural Networks and Learning Systems
|
June 5, 2020
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach
Jiaming Zhang, Hanwen Ning, Xingjian Jing, et al.
IEEE Transactions on Cybernetics
|
September 24, 2016
Fuzzy Tracking Control for Nonlinear Networked Systems
Hongyi Li, Chengwei Wu, Xingjian Jing, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Neural Networks : the Official Journal of the International Neural Network Society
|
April 5, 2011
An H(∞) control approach to robust learning of feedforward neural networks
Xingjian Jing
Neural Networks : the Official Journal of the International Neural Network Society
|
March 31, 2012
Robust adaptive learning of feedforward neural networks via LMI optimizations
Xingjian Jing
IEEE Transactions on Cybernetics
|
March 1, 2020
A Bioinspired Dynamics-Based Adaptive Fuzzy SMC Method for Half-Car Active Suspension Systems With Input Dead Zones and Saturations
Menghua Zhang, Xingjian Jing
IEEE Transactions on Cybernetics
|
April 19, 2021
Energy-Saving Robust Saturated Control for Active Suspension Systems via Employing Beneficial Nonlinearity and Disturbance
Menghua Zhang, Xingjian Jing
Robotics and Biomimetics
|
December 5, 2017
A tracked robot with novel bio-inspired passive "legs"
Bo Sun, Xingjian Jing
IEEE Transactions on Neural Networks and Learning Systems
|
October 30, 2015
Identification of Nonlinear Spatiotemporal Dynamical Systems With Nonuniform Observations Using Reproducing-Kernel-Based Integral Least Square Regulation
Hanwen Ning, Guangyan Qing, Xingjian Jing
IEEE Transactions on Neural Networks
|
July 27, 2011
Online identification of nonlinear spatiotemporal systems using kernel learning approach
Hanwen Ning, Xingjian Jing, Li Cheng
IEEE Transactions on Cybernetics
|
November 8, 2022
Neuroadaptive Control for Active Suspension Systems With Time-Varying Motion Constraints: A Feasibility-Condition-Free Method
Zhiguang Feng, Rui-Bing Li, Xingjian Jing
IEEE Transactions on Neural Networks and Learning Systems
|
June 5, 2020
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach
Jiaming Zhang, Hanwen Ning, Xingjian Jing, et al.
IEEE Transactions on Cybernetics
|
September 24, 2016
Fuzzy Tracking Control for Nonlinear Networked Systems
Hongyi Li, Chengwei Wu, Xingjian Jing, et al.
Page
of 2