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Amol Yerudkar
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2020 – today
- 2024
- [j12]Jiayang Liu, Lina Wang, Amol Yerudkar, Yang Liu:
Set stabilization of logical control networks: A minimum node control approach. Neural Networks 174: 106266 (2024) - [j11]Sonam Kharade, Sarang Sutavani, Amol Yerudkar, Sushama Wagh, Yang Liu, Carmen Del Vecchio, Navdeep M. Singh:
On Exact Embedding Framework for Optimal Control of Markov Decision Processes. IEEE Trans. Autom. Control. 69(2): 1316-1323 (2024) - [j10]Yang Liu, Zejiao Liu, Amol Yerudkar, Carmen Del Vecchio:
Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning. IEEE Trans. Autom. Control. 69(3): 1858-1865 (2024) - 2023
- [j9]Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, Sotiris Moschoyiannis:
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach. Inf. Sci. 619: 374-389 (2023) - [c13]Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio:
Unsupervised Anomaly Detection for Multivariate Incomplete Data using GAN-based Data Imputation: A Comparative Study. MED 2023: 55-60 - 2022
- [j8]Pratik Bajaria, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio, Yuhu Wu:
Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach. J. Frankl. Inst. 359(12): 6173-6195 (2022) - [j7]Abhaya Pal Singh, Amol Yerudkar, Valerio Mariani, Luigi Iannelli, Luigi Glielmo:
A Bibliometric Review of the Use of Unmanned Aerial Vehicles in Precision Agriculture and Precision Viticulture for Sensing Applications. Remote. Sens. 14(7): 1604 (2022) - [j6]Abhaya Pal Singh, Amol Yerudkar, Davide Liuzza, Yang Liu, Luigi Glielmo:
An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment. Sensors 22(19): 7613 (2022) - [c12]Antonio Acernese, Amol Yerudkar, Carmen Del Vecchio:
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems. ACC 2022: 2650-2655 - [c11]Hozefa Jesawada, Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh:
A Model-Based Reinforcement Learning Approach for Robust PID Tuning. CDC 2022: 1466-1471 - [i1]Hozefa Jesawada, Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh:
A Model-Based Reinforcement Learning Approach for PID Design. CoRR abs/2206.03567 (2022) - 2021
- [j5]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks. IEEE Control. Syst. Lett. 5(1): 337-342 (2021) - [j4]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks. IEEE Control. Syst. Lett. 5(5): 1639-1644 (2021) - [c10]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Model-free Self-triggered Control Co-design for Probabilistic Boolean Control Networks. ACC 2021: 380-385 - [c9]Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio:
Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator. ECC 2021: 836-841 - [c8]Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio:
Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks. IECON 2021: 1-6 - [c7]Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio:
Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks. SMC 2021: 1539-1544 - 2020
- [j3]Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio:
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks. IEEE Access 8: 199254-199265 (2020) - [j2]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Feedback stabilization control design for switched Boolean control networks. Autom. 116: 108934 (2020) - [j1]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Output Tracking Control Design of Switched Boolean Control Networks. IEEE Control. Syst. Lett. 4(2): 355-360 (2020)
2010 – 2019
- 2019
- [c6]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Control of Switched Boolean Control Networks by State Feedback. ECC 2019: 1999-2004 - [c5]Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo, Navdeep M. Singh:
Subspace and Coordinate Transformation for Boolean Control Networks using Binary Logic. MED 2019: 328-333 - [c4]Amit Joshi, Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Storage Constrained Smart Meter Sensing using Semi-Tensor Product. SMC 2019: 51-56 - [c3]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Output Tracking Control of Probabilistic Boolean Control Networks. SMC 2019: 2109-2114 - 2018
- [c2]Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh, Luigi Glielmo:
Reachability and Controllability of Delayed Switched Boolean Control Networks. ECC 2018: 1863-1868 - 2014
- [c1]Pratik Bajaria, Abhishek Pandey, Amol Yerudkar, Faruk Kazi, Navdeep M. Singh:
LMI based loop shaping control of biological circuits. MED 2014: 1267-1272
Coauthor Index
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last updated on 2024-09-10 01:16 CEST by the dblp team
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