Qi-He Shan

33 papers B 1Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2021 J jnl
Containment control of multi-agent systems with nonvanishing disturbance via topology reconfiguration.
Sci. China Inf. Sci.
Qi-He Shan, Fei Teng, Tieshan Li, C. L. Philip Chen
2021 — conf
PID Control for Ship Course with Complex Marine Disturbance Modeled by General Noise.
CACRE
Yiping Meng, Qi-He Shan, Tieshan Li, Xiaojian Wang, Jiaze Chen, Ye Wang
2021 — conf
Simplified Tree-Based MPC for the Cyber-Physical System with Jamming Attacks.
ICPS
Yadi Xu, Yuchi Cao, Qi Liu, Tieshan Li, Qi-He Shan
2021 J jnl
Virtual guide automatic berthing control of marine ships based on heuristic dynamic programming iteration method.
Neurocomputing
Qi Liu, Tieshan Li, Qi-He Shan, Renhai Yu, Xiaoyang Gao
2020 J jnl
Adaptive NN event-triggered control for path following of underactuated vessels with finite-time convergence.
Neurocomputing
Meilin Li, Tieshan Li, Xiaoyang Gao, Qi-He Shan, C. L. Philip Chen, Yang Xiao
2020 — conf
An LQG Optimal Linear Controller for Fin Stabilizer System of Marine Vessels.
ICSSE
QuangDuy Nguyen, Tieshan Li, Renhai Yu, Qi-He Shan, Yue Wu, Jun Ning
2020 J jnl
Delay tolerant containment control for second-order multi-agent systems based on communication topology design.
Neurocomputing
Fei Teng, Huaguang Zhang, Chaomin Luo, Qi-He Shan
2020 J jnl
Neural Network-Based Adaptive Control for Pure-Feedback Stochastic Nonlinear Systems With Time-Varying Delays and Dead-Zone Input.
IEEE Trans. Syst. Man Cybern. Syst.
Zifu Li, Tieshan Li, Gang Feng, Rong Zhao, Qi-He Shan
2020 J jnl
Online optimal consensus control of unknown linear multi-agent systems via time-based adaptive dynamic programming.
Neurocomputing
Yifan Liu, Tieshan Li, Qi-He Shan, Renhai Yu, Yue Wu, C. L. Philip Chen
2019 — conf
A Review of Research on Port Throughput Forecasting.
SmartIoT
Yiying Li, Tieshan Li, Yi Zuo, C. L. Philip Chen, Qi-He Shan, Yang Xiao, Xiaoqing Fan
2019 J jnl
Adaptive leader-following formation control with collision avoidance for a class of second-order nonlinear multi-agent systems.
Neurocomputing
Quan Shi, Tieshan Li, Jingqi Li, C. L. Philip Chen, Yang Xiao, Qi-He Shan
2019 J jnl
Consensus of multi-agent systems with impulsive perturbations and time-varying delays by dynamic delay interval method.
Commun. Nonlinear Sci. Numer. Simul.
Qi-He Shan, Zengzhi Chen, Tieshan Li, C. L. Philip Chen
2019 J jnl
Containment Control of Multi-Agent Systems With General Noise Based on Hierarchical Topology Reconfiguration.
IEEE Access
Qi-He Shan, Jingyu Yan, Tieshan Li, C. L. Philip Chen
2019 — conf
Data-Based Approximate Policy Iteration for Optimal Course-Keeping Control of Marine Surface Vessels.
ISNN (2)
Yuming Bai, Yifan Liu, Qi-He Shan, Tieshan Li, Yuzhen Lu
2019 J jnl
Distributed Optimization Based on a Multiagent System Disturbed by General Noise.
IEEE Trans. Cybern.
Huaguang Zhang, Fei Teng, Qiuye Sun, Qi-He Shan
2018 J jnl
Global Asymptotic Stability and Stabilization of Neural Networks With General Noise.
IEEE Trans. Neural Networks Learn. Syst.
Qi-He Shan, Huaguang Zhang, Zhanshan Wang, Zhao Zhang
2018 J jnl
H
Neurocomputing
Xun Sun, Huaguang Zhang, Qi-He Shan, Yingchun Wang
2018 — conf
Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method.
ICONIP (7)
Xiaoyang Gao, Tieshan Li, Qi-He Shan
2018 — conf
Sliding Mode Control for Fin Stabilizer System of Marine Vessels with PID Sliding Surface.
SPAC
QuangDuy Nguyen, Tieshan Li, Liang'en Yuan, Qi-He Shan, Yuchi Cao
2018 J jnl
Stochastic synchronization for an array of hybrid neural networks with random coupling strengths and unbounded distributed delays.
Neurocomputing
Chengde Zheng, Qi-He Shan, Ziping Wei
2017 J jnl
Adjustable delay interval method based stochastic robust stability analysis of delayed neural networks.
Neurocomputing
Qi-He Shan, Huaguang Zhang, Zhanshan Wang, Junyi Wang
2017 J jnl
Local Synchronization Criteria of Markovian Nonlinearly Coupled Neural Networks With Uncertain and Partially Unknown Transition Rates.
IEEE Trans. Syst. Man Cybern. Syst.
Junyi Wang, Huaguang Zhang, Zhanshan Wang, Qi-He Shan
2017 J jnl
Non-Fragile Exponential H
IEEE Trans. Cybern.
Zhao Zhang, Huaguang Zhang, Zhiliang Wang, Qi-He Shan
2017 J jnl
Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method.
IEEE Trans. Neural Networks Learn. Syst.
Huaguang Zhang, Qi-He Shan, Zhanshan Wang
2017 J jnl
Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method.
IEEE Trans. Neural Networks Learn. Syst.
Zhanshan Wang, Sanbo Ding, Qi-He Shan, Huaguang Zhang
2016 J jnl
New Results on Stability and Stabilization of Networked Control Systems With Short Time-Varying Delay.
IEEE Trans. Cybern.
Huaguang Zhang, Zhao Zhang, Zhiliang Wang, Qi-He Shan
2015 J jnl
Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method.
IEEE Trans. Neural Networks Learn. Syst.
Zhanshan Wang, Lei Liu, Qi-He Shan, Huaguang Zhang
2014 B conf
A review on evolution of Lyapunov-Krasovskii function in stability analysis of recurrent neural networks with single time-varying delay.
IJCNN
Zhanshan Wang, Zhengwei Shen, Mi Tian, Qi-He Shan
2013 J jnl
New delay-dependent stability criteria for cohen-grossberg neural networks with multiple time-varying mixed delays.
Soft Comput.
Qi-He Shan, Huaguang Zhang, Feisheng Yang, Zhanshan Wang
2013 J jnl
On Stabilization of Stochastic Cohen-Grossberg Neural Networks With Mode-Dependent Mixed Time-Delays and Markovian Switching.
IEEE Trans. Neural Networks Learn. Syst.
Chengde Zheng, Qi-He Shan, Huaguang Zhang, Zhanshan Wang
2012 J jnl
Improved Stability Results for Stochastic Cohen-Grossberg Neural Networks with Discrete and Distributed Delays.
Neural Process. Lett.
Chengde Zheng, Qi-He Shan, Zhanshan Wang
2012 J jnl
Novel stability criteria of Cohen-Grossberg neural networks with time-varying delays.
Int. J. Circuit Theory Appl.
Chengde Zheng, Qi-He Shan, Zhanshan Wang
2012 J jnl
Novel stability criterion for cellular neural networks: An improved Gu's discretized LKF approach.
J. Frankl. Inst.
Chengde Zheng, Qi-He Shan, Zhanshan Wang