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ORCIDCarmen Del Vecchio
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2020 – today
- 2024
[j16]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)- [j15]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
- [j14]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) - [c34]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
On a Probabilistic Approach for Inverse Data-Driven Optimal Control. CDC 2023: 4411-4416 - [c33]Esha Ranade, Fabio Fruggiero, Carmen Del Vecchio:
Model of Eukaryotic Cell Protein Control Schemes via Manufacturing System Simulator. CoDIT 2023: 1624-1629 - [c32]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 - [i3]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems. CoRR abs/2303.17957 (2023) - [i2]Émiland Garrabé, Hozefa Jesawada, Carmen Del Vecchio, Giovanni Russo:
On Convex Data-Driven Inverse Optimal Control for Nonlinear, Non-stationary and Stochastic Systems. CoRR abs/2306.13928 (2023) - 2022
- [j13]Mirko Mazzoleni, Kisan Sarda, Antonio Acernese, Luigi Russo, Leonardo Manfredi, Luigi Glielmo, Carmen Del Vecchio:
A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes. Eng. Appl. Artif. Intell. 115: 105317 (2022) - [j12]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) - [c31]Antonio Acernese, Amol Yerudkar, Carmen Del Vecchio:
A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems. ACC 2022: 2650-2655 - [c30]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
- [j11]Kisan Sarda, Antonio Acernese, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio:
A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry. IEEE Access 9: 53827-53837 (2021) - [j10]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) - [j9]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) - [j8]Shuting Le, Yuhu Wu, Yuqian Guo, Carmen Del Vecchio:
Game Theoretic Approach for a Service Function Chain Routing in NFV With Coupled Constraints. IEEE Trans. Circuits Syst. II Express Briefs 68(12): 3557-3561 (2021) - [c29]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 - [c28]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 - [c27]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 - [c26]Antonio Acernese, Kisan Sarda, Vittorio Nolè, Leonardo Manfredi, Luca Greco, Luigi Glielmo, Carmen Del Vecchio:
Robust Statistics-based Anomaly Detection in a Steel Industry. MED 2021: 1058-1063 - [c25]Pratik Bajaria, Amol Yerudkar, Carmen Del Vecchio:
Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks. SMC 2021: 1539-1544 - 2020
- [j7]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) - [j6]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Feedback stabilization control design for switched Boolean control networks. Autom. 116: 108934 (2020) - [j5]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
- [c24]Antonio Acernese, Carmen Del Vecchio, Luigi Glielmo, Gianfranco Fenu, Felice Andrea Pellegrino:
A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control. ECC 2019: 512-517 - [c23]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Control of Switched Boolean Control Networks by State Feedback. ECC 2019: 1999-2004 - [c22]Antonio Acernese, Carmen Del Vecchio, Massimo Tipaldi, Luigi Glielmo:
Condition Based Maintenance for Industrial Labeling Machine. ICSRS 2019: 46-50 - [c21]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 - [c20]Amit Joshi, Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Storage Constrained Smart Meter Sensing using Semi-Tensor Product. SMC 2019: 51-56 - [c19]Amol Yerudkar, Carmen Del Vecchio, Luigi Glielmo:
Output Tracking Control of Probabilistic Boolean Control Networks. SMC 2019: 2109-2114 - 2018
- [j4]Carmen Del Vecchio, Francesca Verrilli, Luigi Glielmo:
When sex matters: a complete model of X-linked diseases. Int. J. Gen. Syst. 47(6): 549-568 (2018) - [c18]Amol Yerudkar, Carmen Del Vecchio, Navdeep M. Singh, Luigi Glielmo:
Reachability and Controllability of Delayed Switched Boolean Control Networks. ECC 2018: 1863-1868 - 2017
- [j3]Francesca Verrilli, Seshadhri Srinivasan, Giovanni Gambino, Michele Canelli, Mikko Himanka, Carmen Del Vecchio, Maurizio Sasso, Luigi Glielmo:
Model Predictive Control-Based Optimal Operations of District Heating System With Thermal Energy Storage and Flexible Loads. IEEE Trans Autom. Sci. Eng. 14(2): 547-557 (2017) - 2016
- [c17]Giovanni Gambino, Francesca Verrilli, Michele Canelli, Andrea Russo, Mikko Himanka, Maurizio Sasso, Seshadhri Srinivasan, Carmen Del Vecchio, Luigi Glielmo:
Optimal operation of a district heating power plant with thermal energy storage. ACC 2016: 2334-2339 - [c16]Giovanni Gambino, Francesca Verrilli, Carmen Del Vecchio, Luigi Glielmo:
Optimal operations and load allocation of a power plant equipped with a CCHP feeding power, steam and cold water to an industrial plant. ECC 2016: 328-333 - 2015
- [c15]Francesca Verrilli, Hamed Kebriaei, Luigi Glielmo, Martin Corless, Carmen Del Vecchio:
Selection and mutation effects on equilibrium and stability of X-linked recessive diseases. CDC 2015: 5990-5995 - [c14]Francesca Verrilli, Hamed Kebriaei, Luigi Glielmo, Martin Corless, Carmen Del Vecchio:
Selection and mutation in X-linked recessive diseases epidemiological model. EMBC 2015: 3993-3996 - [c13]Carmen Del Vecchio, Francesca Verrilli, Luigi Glielmo, Martin Corless:
Stability and sensitivity analysis of an epidemiological model of genetic diseases. ECC 2015: 2286-2291 - [c12]Seshadhri Srinivasan, Daniel Grobmann, Carmen Del Vecchio, Valentina Emilia Balas, Luigi Glielmo:
Enabling technologies for Enterprise Wide Optimization. ICIIS 2015: 434-439 - [c11]Francesca Verrilli, Carmen Del Vecchio, Luigi Glielmo, Martin Corless:
A complete epidemiological model of a class of genetic diseases. MED 2015: 1118-1123 - 2014
- [c10]Carmen Del Vecchio, Luigi Glielmo, Martin Corless:
Non linear discrete time epidemiological model for X-linked recessive diseases. MED 2014: 1500-1505 - 2012
- [c9]Carmen Del Vecchio, Luigi Glielmo, Martin Corless:
Equilibrium and stability analysis of X-chromosome linked recessive diseases model. CDC 2012: 4936-4941 - 2011
- [c8]Alessandra Parisio, Carmen Del Vecchio, G. Velotto:
Robust Optimization of operations in energy hub. CDC/ECC 2011: 4943-4948
2000 – 2009
- 2009
- [j2]Francesco Borrelli, Carmen Del Vecchio, Alessandra Parisio:
Robust invariant sets for constrained storage systems. Autom. 45(12): 2930-2936 (2009) - 2008
- [c7]Francesco Borrelli, Carmen Del Vecchio, Alessandra Parisio:
Robust invariant set theory applied to networked buffer-level control. CDC 2008: 2111-2116 - 2007
- [c6]Osvaldo Barbarisi, Carmen Del Vecchio, Alessandra Parisio:
Cranes control with time-based and position constraints. CDC 2007: 1880-1885 - 2006
- [j1]Carmen Del Vecchio, Ioannis Ch. Paschalidis:
Enforcing Service-Level Constraints in Supply Chains With Assembly Operations. IEEE Trans. Autom. Control. 51(12): 2000-2005 (2006) - [c5]Francesco Borrelli, Paolo Falcone, Carmen Del Vecchio:
Event-Based Receding Horizon Control for Two-Stages Multi-Product Production Plants. ACC 2006: 562-567 - 2005
- [c4]Osvaldo Barbarisi, Carmen Del Vecchio:
UML Simulation Model for Hybrid Manufacturing Systems. ISIC 2005: 358-363 - 2004
- [c3]Osvaldo Barbarisi, Carmen Del Vecchio, Luigi Glielmo, Francesco Vasca:
Why adopting UML to model hybrid manufacturing systems? SMC (5) 2004: 4324-4329 - 2003
- [c2]Carmen Del Vecchio, Ioannis Ch. Paschalidis:
Enforcing service-level constraints in supply chains with assembly operations. CDC 2003: 5490-5495 - [c1]Domenico Luca Capozzi, Carmen Del Vecchio, Luigi Glielmo:
A novel work in progress based production control system. ECC 2003: 2351-2357
Coauthor Index
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last updated on 2024-09-10 01:18 CEST by the dblp team
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