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Ronghu Chi

Showing results (11-20 of 18) with videos related to

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IEEE Transactions on Cybernetics|March 15, 2019
Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation ControlRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 5, 2020
Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output SaturationXuhui Bu, Jiaqi Liang, Zhongsheng Hou, et al.
IEEE Transactions on Cybernetics|October 23, 2020
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point TrackingRonghu Chi, Huimin Zhang, Biao Huang, et al.
IEEE Transactions on Cybernetics|April 15, 2020
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different FormationsRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Cybernetics|November 21, 2023
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time SystemsRonghu Chi, Wenzhi Cui, Na Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2021
Data-Driven Adaptive Consensus Learning From Network TopologiesRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Cybernetics|April 30, 2024
Data-Driven Dynamic Internal Model ControlRonghu Chi, Huimin Zhang, Huaying Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2015
Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control KnowledgeRonghu Chi, Zhongsheng Hou, Shangtai Jin, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
IEEE Transactions on Cybernetics|March 15, 2019
Adjacent-Agent Dynamic Linearization-Based Iterative Learning Formation ControlRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 5, 2020
Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output SaturationXuhui Bu, Jiaqi Liang, Zhongsheng Hou, et al.
IEEE Transactions on Cybernetics|October 23, 2020
Quantitative Data-Driven Adaptive Iterative Learning Control: From Trajectory Tracking to Point-to-Point TrackingRonghu Chi, Huimin Zhang, Biao Huang, et al.
IEEE Transactions on Cybernetics|April 15, 2020
Spatial Linear Dynamic Relationship of Strongly Connected Multiagent Systems and Adaptive Learning Control for Different FormationsRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Cybernetics|November 21, 2023
Sampled-Data Model-Free Adaptive Control for Nonlinear Continuous-Time SystemsRonghu Chi, Wenzhi Cui, Na Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 8, 2021
Data-Driven Adaptive Consensus Learning From Network TopologiesRonghu Chi, Yu Hui, Biao Huang, et al.
IEEE Transactions on Cybernetics|April 30, 2024
Data-Driven Dynamic Internal Model ControlRonghu Chi, Huimin Zhang, Huaying Li, et al.
IEEE Transactions on Neural Networks and Learning Systems|August 16, 2015
Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control KnowledgeRonghu Chi, Zhongsheng Hou, Shangtai Jin, et al.
Pageof 2