Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint
Rui-Bing Li, Ben Niu, Zhiguang Feng, et al.
Journal of the Franklin Institute (2019) Vol. 356, Iss. 16, pp. 9545-9564
Closed Access | Times Cited: 15

Showing 15 citing articles:

Adaptive neural network control for time-varying state constrained nonlinear stochastic systems with input saturation
Qidan Zhu, Yongchao Liu, Guoxing Wen
Information Sciences (2020) Vol. 527, pp. 191-209
Closed Access | Times Cited: 61
Decentralized Adaptive Command Filtered Neural Tracking Control of Large-Scale Nonlinear Systems: An Almost Fast Finite-Time Framework
Jidong Liu, Ben Niu, Yonggui Kao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2020) Vol. 32, Iss. 8, pp. 3621-3632
Closed Access | Times Cited: 60
Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems
Zhiguang Feng, Rui-Bing Li, Wei Xing Zheng
Information Sciences (2022) Vol. 612, pp. 481-495
Closed Access | Times Cited: 13
Barrier Lyapunov function-based tracking control for stochastic nonlinear systems with full-state constraints and input saturation
Huifang Min, Na Duan, Shengyuan Xu, et al.
Journal of the Franklin Institute (2020) Vol. 357, Iss. 17, pp. 12414-12432
Closed Access | Times Cited: 13
Neural-networks-based adaptive asymptotic tracking control of MIMO stochastic non-strict-feedback nonlinear systems with full state constraints and unknown control gains
Wei Su, Xudong Zhao, Ben Niu, et al.
Neurocomputing (2022) Vol. 476, pp. 137-150
Closed Access | Times Cited: 8
Adaptive Neural Tracking Control of Full-state Constrained Nonstrict-feedback Time-delay Systems with Input Saturation
Xin Liu, Chuang Gao, Huanqing Wang, et al.
International Journal of Control Automation and Systems (2020) Vol. 18, Iss. 8, pp. 2048-2060
Closed Access | Times Cited: 10
Adaptive fixed-time tracking control for a class of nonlinear pure-feedback systems: A relative threshold event-triggered strategy
Qiangqiang Zhu, Ben Niu, Guangju Zhang, et al.
ISA Transactions (2021) Vol. 122, pp. 346-356
Closed Access | Times Cited: 8
Neural learning fixed-time adaptive tracking control of complex stochastic constraint nonlinear systems
Bo Xu, Yuan‐Xin Li, Shaocheng Tong
Journal of the Franklin Institute (2022) Vol. 360, Iss. 17, pp. 13671-13691
Closed Access | Times Cited: 5
Adaptive decentralised control for large‐scale non‐linear non‐strict‐feedback interconnected systems with time‐varying asymmetric output constraints and dead‐zone inputs
Xiaomei Wang, Zhiguang Feng, Guangju Zhang, et al.
IET Control Theory and Applications (2020) Vol. 14, Iss. 20, pp. 3417-3427
Open Access | Times Cited: 5
Adaptive output feedback control for chaotic PMSMs stochastic system considering constraints
Yankui Song, Cheng Gong, Yaoyao Tuo
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115321-115321
Closed Access
Collision-free trajectory tracking strategy of a UUV via finite-time extended state observer-based sliding mode predictive control
Xun Zhang, Huijun Chen, Wen Xing, et al.
Journal of the Franklin Institute (2024) Vol. 361, Iss. 18, pp. 107245-107245
Closed Access
An improved constraint control framework for unmanned surface vehicles using command-filtered backstepping technique
Rui-Bing Li, Zhiguang Feng, Zhengyi Jiang, et al.
Journal of the Franklin Institute (2024), pp. 107499-107499
Closed Access
Low-cost adaptive fuzzy neural prescribed performance control of strict-feedback systems considering full-state and input constraints
Yankui Song, Bingzao Ge, Yu Xia, et al.
AIMS Mathematics (2022) Vol. 7, Iss. 5, pp. 8263-8289
Open Access | Times Cited: 1
Adaptive NN Tracking Control for Stochastic Pure-Feedback Nonlinear Systems in Non-Strict-Feedback form
Rui-bing Li, Zhiguang Feng, Yuning Cao, et al.
2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS) (2020) Vol. 23, pp. 124-129
Closed Access
Adaptive Neural Asymptotic Tracking Control of MIMO Stochastic Non-strict-feedback Nonlinear Systems
Wei Su, Ben Niu, Guangju Zhang
Lecture notes in electrical engineering (2021), pp. 157-167
Closed Access
Page 1

Scroll to top