Amol Yerudkar

34 papers B 3C 3Journal 21Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Novel PID Design Method via Model-Based Reinforcement Learning Algorithms.
IEEE Trans Autom. Sci. Eng.
Hozefa Jesawada, Amol Yerudkar, Yang Liu, Navdeep M. Singh, Carmen Del Vecchio
2025 J jnl
Event-triggered output feedback stabilization of Boolean control networks via Ledley solution.
Commun. Nonlinear Sci. Numer. Simul.
Anna Feng, Jie Zhong, Amol Yerudkar, Hongwei Chen, Jiahao Wu
2025 J jnl
Link Augmentation and Q-Learning for Set Stabilization in Switched Boolean Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Qinyao Pan, Jianquan Lu, Amol Yerudkar, Koichi Kobayashi, Jie Zhong
2025 J jnl
On the Dynamics of Acceleration in First order Gradient Methods.
CoRR
M. Parimi, Rachit Mehra, S. R. Wagh, Amol Yerudkar, Navdeep M. Singh
2025 J jnl
Pinning Control Design for Stabilizing Large-Scale Markovian Jump Boolean Networks.
IEEE Trans. Syst. Man Cybern. Syst.
Lina Wang, Amol Yerudkar, Yang Liu, Mahmoud A. Abdel-Aty
2025 J jnl
Pinning Stabilization of Logical Networks Based on Deformation of the State Transition Matrix.
IEEE Trans Autom. Sci. Eng.
Jiayang Liu, Amol Yerudkar, Shuting Sun, Yang Liu
2025 J jnl
Stabilization of Boolean Networks: A Model-Free Constrained State-Flipped Control Approach.
IEEE Trans Autom. Sci. Eng.
Zejiao Liu, Amol Yerudkar, Yang Liu, Jinde Cao
2025 J jnl
State estimation of stochastic temporal Boolean control networks.
Inf. Sci.
Lina Wang, Amol Yerudkar, Yang Liu, Jianquan Lu, Jinde Cao
2024 J jnl
On Exact Embedding Framework for Optimal Control of Markov Decision Processes.
IEEE Trans. Autom. Control.
Sonam Kharade, Sarang Sutavani, Amol Yerudkar, Sushama Wagh, Yang Liu, Carmen Del Vecchio, Navdeep M. Singh
2024 J jnl
Set stabilization of logical control networks: A minimum node control approach.
Neural Networks
Jiayang Liu, Lina Wang, Amol Yerudkar, Yang Liu
2024 J jnl
Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning.
IEEE Trans. Autom. Control.
Yang Liu, Zejiao Liu, Amol Yerudkar, Carmen Del Vecchio
2023 J jnl
Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach.
Inf. Sci.
Amol Yerudkar, Evangelos Chatzaroulas, Carmen Del Vecchio, Sotiris Moschoyiannis
2023 — conf
Unsupervised Anomaly Detection for Multivariate Incomplete Data using GAN-based Data Imputation: A Comparative Study.
MED
Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio
2022 J jnl
A Bibliometric Review of the Use of Unmanned Aerial Vehicles in Precision Agriculture and Precision Viticulture for Sensing Applications.
Remote. Sens.
Abhaya Pal Singh, Amol Yerudkar, Valerio Mariani, Luigi Iannelli, Luigi Glielmo
2022 J jnl
A Model-Based Reinforcement Learning Approach for PID Design.
CoRR
Hozefa Jesawada, Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh
2022 — conf
A Model-Based Reinforcement Learning Approach for Robust PID Tuning.
CDC
Hozefa Jesawada, Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh
2022 C conf
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems.
ACC
Antonio Acernese, Amol Yerudkar, Carmen Del Vecchio
2022 J jnl
An Optimal Decision Support System Based on Crop Dynamic Model for N-Fertilizer Treatment.
Sensors
Abhaya Pal Singh, Amol Yerudkar, Davide Liuzza, Yang Liu, Luigi Glielmo
2022 J jnl
Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach.
J. Frankl. Inst.
Pratik Bajaria, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio, Yuhu Wu
2021 — conf
Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator.
ECC
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2021 C conf
Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks.
IECON
Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio
2021 J jnl
Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett.
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2021 C conf
Model-free Self-triggered Control Co-design for Probabilistic Boolean Control Networks.
ACC
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2021 B conf
Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks.
SMC
Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio
2021 J jnl
Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks.
IEEE Control. Syst. Lett.
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2020 J jnl
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks.
IEEE Access
Antonio Acernese, Amol Yerudkar, Luigi Glielmo, Carmen Del Vecchio
2020 J jnl
Feedback stabilization control design for switched Boolean control networks.
Autom.
Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2020 J jnl
Output Tracking Control Design of Switched Boolean Control Networks.
IEEE Control. Syst. Lett.
Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2019 — conf
Control of Switched Boolean Control Networks by State Feedback.
ECC
Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2019 B conf
Output Tracking Control of Probabilistic Boolean Control Networks.
SMC
Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2019 B conf
Storage Constrained Smart Meter Sensing using Semi-Tensor Product.
SMC
Amit Joshi, Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo
2019 — conf
Subspace and Coordinate Transformation for Boolean Control Networks using Binary Logic.
MED
Kisan Sarda, Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo, Navdeep M. Singh
2018 — conf
Reachability and Controllability of Delayed Switched Boolean Control Networks.
ECC
Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh, Luigi Glielmo
2014 — conf
LMI based loop shaping control of biological circuits.
MED
Pratik Bajaria, Abhishek Pandey, Amol Yerudkar, Faruk Kazi, Navdeep M. Singh