
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:
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020), pp. 1-1
Closed Access | Times Cited: 47
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020), pp. 1-1
Closed Access | Times Cited: 47
Showing 1-25 of 47 citing articles:
Robust stability of Switched Boolean Networks with function perturbation
Jiahao Wu, Yang Liu, Qihua Ruan, et al.
Nonlinear Analysis Hybrid Systems (2022) Vol. 46, pp. 101216-101216
Closed Access | Times Cited: 47
Jiahao Wu, Yang Liu, Qihua Ruan, et al.
Nonlinear Analysis Hybrid Systems (2022) Vol. 46, pp. 101216-101216
Closed Access | Times Cited: 47
A Framework of Pinning Control for Non-periodical Stable Behaviors of Large-scale Asynchronous Boolean Networks
Jie Zhong, Qinyao Pan, Wenying Xu, et al.
IEEE Transactions on Automatic Control (2024) Vol. 69, Iss. 9, pp. 5711-5726
Closed Access | Times Cited: 8
Jie Zhong, Qinyao Pan, Wenying Xu, et al.
IEEE Transactions on Automatic Control (2024) Vol. 69, Iss. 9, pp. 5711-5726
Closed Access | Times Cited: 8
Fault detection and pinning control of Boolean networks
Yu Wang, Yujing Yang, Yang Liu, et al.
Applied Mathematics and Computation (2022) Vol. 429, pp. 127232-127232
Closed Access | Times Cited: 28
Yu Wang, Yujing Yang, Yang Liu, et al.
Applied Mathematics and Computation (2022) Vol. 429, pp. 127232-127232
Closed Access | Times Cited: 28
Output Tracking of Switched Boolean Networks via Self-Triggered Control
Qiliang Zhang, Jun‐e Feng, Feng Xiao, et al.
IEEE Transactions on Control of Network Systems (2024) Vol. 11, Iss. 3, pp. 1621-1630
Closed Access | Times Cited: 5
Qiliang Zhang, Jun‐e Feng, Feng Xiao, et al.
IEEE Transactions on Control of Network Systems (2024) Vol. 11, Iss. 3, pp. 1621-1630
Closed Access | Times Cited: 5
Event-triggered output feedback stabilization of Boolean control networks via Ledley solution
Anna Feng, Jie Zhong, Amol Yerudkar, et al.
Communications in Nonlinear Science and Numerical Simulation (2025) Vol. 145, pp. 108710-108710
Closed Access
Anna Feng, Jie Zhong, Amol Yerudkar, et al.
Communications in Nonlinear Science and Numerical Simulation (2025) Vol. 145, pp. 108710-108710
Closed Access
Weak Stabilization of Boolean Networks Under State-Flipped Control
Zejiao Liu, Jie Zhong, Yang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 5, pp. 2693-2700
Closed Access | Times Cited: 31
Zejiao Liu, Jie Zhong, Yang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 5, pp. 2693-2700
Closed Access | Times Cited: 31
Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach
Pratik Bajaria, Amol Yerudkar, Luigi Glielmo, et al.
Journal of the Franklin Institute (2022) Vol. 359, Iss. 12, pp. 6173-6195
Closed Access | Times Cited: 19
Pratik Bajaria, Amol Yerudkar, Luigi Glielmo, et al.
Journal of the Franklin Institute (2022) Vol. 359, Iss. 12, pp. 6173-6195
Closed Access | Times Cited: 19
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach
Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, et al.
Information Sciences (2022) Vol. 619, pp. 374-389
Open Access | Times Cited: 16
Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, et al.
Information Sciences (2022) Vol. 619, pp. 374-389
Open Access | Times Cited: 16
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020) Vol. 5, Iss. 5, pp. 1639-1644
Closed Access | Times Cited: 23
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Control Systems Letters (2020) Vol. 5, Iss. 5, pp. 1639-1644
Closed Access | Times Cited: 23
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Access (2020) Vol. 8, pp. 199254-199265
Open Access | Times Cited: 21
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, et al.
IEEE Access (2020) Vol. 8, pp. 199254-199265
Open Access | Times Cited: 21
Cluster Synchronization of Boolean Networks Under Probabilistic Function Perturbation
Yixuan Ren, Jianquan Lu, Yang Liu, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2021) Vol. 69, Iss. 2, pp. 504-508
Closed Access | Times Cited: 17
Yixuan Ren, Jianquan Lu, Yang Liu, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2021) Vol. 69, Iss. 2, pp. 504-508
Closed Access | Times Cited: 17
Stabilization of Markovian Jump Boolean Control Networks via Sampled-Data Control
Bingquan Chen, Jinde Cao, Guoping Lü, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 10, pp. 10290-10301
Closed Access | Times Cited: 16
Bingquan Chen, Jinde Cao, Guoping Lü, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 10, pp. 10290-10301
Closed Access | Times Cited: 16
Cluster Synchronization of Boolean Networks Under State-Flipped Control With Reinforcement Learning
Zirong Zhou, Yang Liu, Jianquan Lu, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2022) Vol. 69, Iss. 12, pp. 5044-5048
Closed Access | Times Cited: 11
Zirong Zhou, Yang Liu, Jianquan Lu, et al.
IEEE Transactions on Circuits & Systems II Express Briefs (2022) Vol. 69, Iss. 12, pp. 5044-5048
Closed Access | Times Cited: 11
Recent developments of Boolean networks with switching and constraints
Xueying Ding, Jianquan Lu, Haitao Li, et al.
International Journal of Systems Science (2023) Vol. 54, Iss. 14, pp. 2765-2783
Closed Access | Times Cited: 6
Xueying Ding, Jianquan Lu, Haitao Li, et al.
International Journal of Systems Science (2023) Vol. 54, Iss. 14, pp. 2765-2783
Closed Access | Times Cited: 6
Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning
Yang Liu, Zejiao Liu, Amol Yerudkar, et al.
IEEE Transactions on Automatic Control (2023) Vol. 69, Iss. 3, pp. 1858-1865
Closed Access | Times Cited: 6
Yang Liu, Zejiao Liu, Amol Yerudkar, et al.
IEEE Transactions on Automatic Control (2023) Vol. 69, Iss. 3, pp. 1858-1865
Closed Access | Times Cited: 6
Further results on observability verification of Boolean control networks
Caixia Wang, Jun‐e Feng, Yongyuan Yu
Systems & Control Letters (2023) Vol. 174, pp. 105485-105485
Closed Access | Times Cited: 5
Caixia Wang, Jun‐e Feng, Yongyuan Yu
Systems & Control Letters (2023) Vol. 174, pp. 105485-105485
Closed Access | Times Cited: 5
Total-activity conservation of probabilistic Boolean networks and its applications
Haitao Li, Lingling Wu
Systems & Control Letters (2024) Vol. 188, pp. 105799-105799
Closed Access | Times Cited: 1
Haitao Li, Lingling Wu
Systems & Control Letters (2024) Vol. 188, pp. 105799-105799
Closed Access | Times Cited: 1
Time-optimal open-loop set stabilization of Boolean control networks
Shaoyu Dai, Bowen Li, Jianquan Lu
Neural Networks (2024) Vol. 180, pp. 106694-106694
Closed Access | Times Cited: 1
Shaoyu Dai, Bowen Li, Jianquan Lu
Neural Networks (2024) Vol. 180, pp. 106694-106694
Closed Access | Times Cited: 1
Deep Reinforcement Learning for Control of Probabilistic Boolean Networks
Georgios Papagiannis, Sotiris Moschoyiannis
Studies in computational intelligence (2021), pp. 361-371
Closed Access | Times Cited: 10
Georgios Papagiannis, Sotiris Moschoyiannis
Studies in computational intelligence (2021), pp. 361-371
Closed Access | Times Cited: 10
Deep Reinforcement Learning for Stabilization of Large-Scale Probabilistic Boolean Networks
Sotiris Moschoyiannis, Evangelos Chatzaroulas, Vytenis Šliogeris, et al.
IEEE Transactions on Control of Network Systems (2022) Vol. 10, Iss. 3, pp. 1412-1423
Open Access | Times Cited: 7
Sotiris Moschoyiannis, Evangelos Chatzaroulas, Vytenis Šliogeris, et al.
IEEE Transactions on Control of Network Systems (2022) Vol. 10, Iss. 3, pp. 1412-1423
Open Access | Times Cited: 7
Pinning Stabilizer Design for Probabilistic Boolean Control Networks via Condensation Digraph
Lina Wang, Jiayang Liu, Yang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 10130-10140
Closed Access | Times Cited: 6
Lina Wang, Jiayang Liu, Yang Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 10130-10140
Closed Access | Times Cited: 6
Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2022 European Control Conference (ECC) (2021), pp. 836-841
Closed Access | Times Cited: 7
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2022 European Control Conference (ECC) (2021), pp. 836-841
Closed Access | Times Cited: 7
Optimal reconstruction of noisy dynamics and selection probabilities in Boolean networks
Koichi Kobayashi, Yuhu Wu
Automatica (2021) Vol. 136, pp. 110094-110094
Open Access | Times Cited: 6
Koichi Kobayashi, Yuhu Wu
Automatica (2021) Vol. 136, pp. 110094-110094
Open Access | Times Cited: 6
Robust flipping stabilization of Boolean networks: A Q-learning approach
Zejiao Liu, Yang Liu, Qihua Ruan, et al.
Systems & Control Letters (2023) Vol. 176, pp. 105527-105527
Closed Access | Times Cited: 2
Zejiao Liu, Yang Liu, Qihua Ruan, et al.
Systems & Control Letters (2023) Vol. 176, pp. 105527-105527
Closed Access | Times Cited: 2
Design of reduced-order and pinning controllers for probabilistic Boolean networks using reinforcement learning
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita
Applied Mathematics and Computation (2023) Vol. 457, pp. 128211-128211
Closed Access | Times Cited: 2
Michiaki Takizawa, Koichi Kobayashi, Yuh Yamashita
Applied Mathematics and Computation (2023) Vol. 457, pp. 128211-128211
Closed Access | Times Cited: 2