A novel work in progress based production control system. - Domenico Luca Capozzi; Carmen Del Vecchio; Luigi Glielmo (ECC, 2003)

Why adopting UML to model hybrid manufacturing systems? - Osvaldo Barbarisi; Carmen Del Vecchio; Luigi Glielmo; Francesco Vasca (SMC (5), 2004)

UML Simulation Model for Hybrid Manufacturing Systems. - Osvaldo Barbarisi; Carmen Del Vecchio (ISIC, 2005)

Event-Based Receding Horizon Control for Two-Stages Multi-Product Production Plants. - Francesco Borrelli; Paolo Falcone; Carmen Del Vecchio (ACC, 2006)

Enforcing Service-Level Constraints in Supply Chains With Assembly Operations. - Carmen Del Vecchio; Ioannis Ch. Paschalidis (IEEE Trans. Autom. Control., 2006)

Cranes control with time-based and position constraints. - Osvaldo Barbarisi; Carmen Del Vecchio; Alessandra Parisio (CDC, 2007)

Robust invariant set theory applied to networked buffer-level control. - Francesco Borrelli; Carmen Del Vecchio; Alessandra Parisio (CDC, 2008)

Robust invariant sets for constrained storage systems. - Francesco Borrelli; Carmen Del Vecchio; Alessandra Parisio (Autom., 2009)

Robust Optimization of operations in energy hub. - Alessandra Parisio; Carmen Del Vecchio; G. Velotto (CDC/ECC, 2011)

Equilibrium and stability analysis of X-chromosome linked recessive diseases model. - Carmen Del Vecchio; Luigi Glielmo; Martin Corless (CDC, 2012)

Non linear discrete time epidemiological model for X-linked recessive diseases. - Carmen Del Vecchio; Luigi Glielmo; Martin Corless (MED, 2014)

Selection and mutation effects on equilibrium and stability of X-linked recessive diseases. - Francesca Verrilli; Hamed Kebriaei; Luigi Glielmo; Martin Corless; Carmen Del Vecchio (CDC, 2015)

Selection and mutation in X-linked recessive diseases epidemiological model. - Francesca Verrilli; Hamed Kebriaei; Luigi Glielmo; Martin Corless; Carmen Del Vecchio (EMBC, 2015)

Stability and sensitivity analysis of an epidemiological model of genetic diseases. - Carmen Del Vecchio; Francesca Verrilli; Luigi Glielmo; Martin Corless (ECC, 2015)

Enabling technologies for Enterprise Wide Optimization. - Seshadhri Srinivasan; Daniel Grobmann; Carmen Del Vecchio; Valentina Emilia Balas; Luigi Glielmo (ICIIS, 2015)

A complete epidemiological model of a class of genetic diseases. - Francesca Verrilli; Carmen Del Vecchio; Luigi Glielmo; Martin Corless (MED, 2015)

Optimal operation of a district heating power plant with thermal energy storage. - Giovanni Gambino; Francesca Verrilli; Michele Canelli; Andrea Russo; Mikko Himanka; Maurizio Sasso; Seshadhri Srinivasan; Carmen Del Vecchio; Luigi Glielmo (ACC, 2016)

Optimal operations and load allocation of a power plant equipped with a CCHP feeding power, steam and cold water to an industrial plant. - Giovanni Gambino; Francesca Verrilli; Carmen Del Vecchio; Luigi Glielmo (ECC, 2016)

Model Predictive Control-Based Optimal Operations of District Heating System With Thermal Energy Storage and Flexible Loads. - Francesca Verrilli; Seshadhri Srinivasan; Giovanni Gambino; Michele Canelli; Mikko Himanka; Carmen Del Vecchio; Maurizio Sasso; Luigi Glielmo (IEEE Trans Autom. Sci. Eng., 2017)

Reachability and Controllability of Delayed Switched Boolean Control Networks. - Amol Yerudkar; Carmen Del Vecchio; Navdeep M. Singh; Luigi Glielmo (ECC, 2018)

When sex matters: a complete model of X-linked diseases. - Carmen Del Vecchio; Francesca Verrilli; Luigi Glielmo (Int. J. Gen. Syst., 2018)

A Combined Support Vector Machine and Support Vector Representation Machine Method for Production Control. - Antonio Acernese; Carmen Del Vecchio; Luigi Glielmo; Gianfranco Fenu; Felice Andrea Pellegrino (ECC, 2019)

Control of Switched Boolean Control Networks by State Feedback. - Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo (ECC, 2019)

Condition Based Maintenance for Industrial Labeling Machine. - Antonio Acernese; Carmen Del Vecchio; Massimo Tipaldi; Luigi Glielmo (ICSRS, 2019)

Subspace and Coordinate Transformation for Boolean Control Networks using Binary Logic. - Kisan Sarda; Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo; Navdeep M. Singh (MED, 2019)

Storage Constrained Smart Meter Sensing using Semi-Tensor Product. - Amit Joshi; Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo (SMC, 2019)

Output Tracking Control of Probabilistic Boolean Control Networks. - Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo (SMC, 2019)

Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Access, 2020)

Feedback stabilization control design for switched Boolean control networks. - Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo (Autom., 2020)

Output Tracking Control Design of Switched Boolean Control Networks. - Amol Yerudkar; Carmen Del Vecchio; Luigi Glielmo (IEEE Control. Syst. Lett., 2020)

Aperiodic Sampled-Data Stabilization of Probabilistic Boolean Control Networks: Deep Q-learning Approach with Relaxed Bellman Operator. - Pratik Bajaria; Amol Yerudkar; Carmen Del Vecchio (ECC, 2021)

Missing Data Imputation for Real Time-series Data in a Steel Industry using Generative Adversarial Networks. - Kisan Sarda; Amol Yerudkar; Carmen Del Vecchio (IECON, 2021)

Robust Statistics-based Anomaly Detection in a Steel Industry. - Antonio Acernese; Kisan Sarda; Vittorio Nolè; Leonardo Manfredi; Luca Greco 004; Luigi Glielmo; Carmen Del Vecchio (MED, 2021)

Random Forest Q-Learning for Feedback Stabilization of Probabilistic Boolean Control Networks. - Pratik Bajaria; Amol Yerudkar; Carmen Del Vecchio (SMC, 2021)

A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry. - Kisan Sarda; Antonio Acernese; Vittorio Nolè; Leonardo Manfredi; Luca Greco 004; Luigi Glielmo; Carmen Del Vecchio (IEEE Access, 2021)

Reinforcement Learning Approach to Feedback Stabilization Problem of Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2021)

Model-Free Self-Triggered Control Co-Design for Probabilistic Boolean Control Networks. - Antonio Acernese; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2021)

Game Theoretic Approach for a Service Function Chain Routing in NFV With Coupled Constraints. - Shuting Le; Yuhu Wu; Yuqian Guo; Carmen Del Vecchio (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Novel Reinforcement Learning-based Unsupervised Fault Detection for Industrial Manufacturing Systems. - Antonio Acernese; Amol Yerudkar; Carmen Del Vecchio (ACC, 2022)

A Model-Based Reinforcement Learning Approach for Robust PID Tuning. - Hozefa Jesawada; Amol Yerudkar; Carmen Del Vecchio; Navdeep M. Singh (CDC, 2022)

A Model-Based Reinforcement Learning Approach for PID Design. - Hozefa Jesawada; Amol Yerudkar; Carmen Del Vecchio; Navdeep M. Singh (CoRR, 2022)

A fuzzy logic-based approach for fault diagnosis and condition monitoring of industry 4.0 manufacturing processes. - Mirko Mazzoleni; Kisan Sarda; Antonio Acernese; Luigi Russo 002; Leonardo Manfredi; Luigi Glielmo; Carmen Del Vecchio (Eng. Appl. Artif. Intell., 2022)

Self-triggered control of probabilistic Boolean control networks: A reinforcement learning approach. - Pratik Bajaria; Amol Yerudkar; Luigi Glielmo; Carmen Del Vecchio; Yuhu Wu (J. Frankl. Inst., 2022)

On a Probabilistic Approach for Inverse Data-Driven Optimal Control. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CDC, 2023)

Model of Eukaryotic Cell Protein Control Schemes via Manufacturing System Simulator. - Esha Ranade; Fabio Fruggiero; Carmen Del Vecchio (CoDIT, 2023)

Unsupervised Anomaly Detection for Multivariate Incomplete Data using GAN-based Data Imputation: A Comparative Study. - Kisan Sarda; Amol Yerudkar; Carmen Del Vecchio (MED, 2023)

Inverse Data-Driven Optimal Control for Nonlinear Stochastic Non-stationary Systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (CoRR, 2023)

Sampled-data Control of Probabilistic Boolean Control Networks: A Deep Reinforcement Learning Approach. - Amol Yerudkar; Evangelos Chatzaroulas; Carmen Del Vecchio; Sotiris Moschoyiannis (Inf. Sci., 2023)

On Exact Embedding Framework for Optimal Control of Markov Decision Processes. - Sonam Kharade; Sarang Sutavani; Amol Yerudkar; Sushama Wagh; Yang Liu 040; Carmen Del Vecchio; Navdeep M. Singh (IEEE Trans. Autom. Control., 2024)

Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning. - Yang Liu 040; Zejiao Liu; Amol Yerudkar; Carmen Del Vecchio (IEEE Trans. Autom. Control., 2024)

Recurrent Output Tracking of Switched Boolean Control Networks under Constant Reference Signal. - Chunfeng Jiang; Shihua Fu; Yuhu Wu; Carmen Del Vecchio (ACC, 2025)

On convex data-driven inverse optimal control for nonlinear, non-stationary and stochastic systems. - Émiland Garrabé; Hozefa Jesawada; Carmen Del Vecchio; Giovanni Russo 002 (Autom., 2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Davide Del Vecchio; Giovanni Russo 002; Carmen Del Vecchio (IEEE Control. Syst. Lett., 2025)

Identification of switched Boolean networks. - Chunfeng Jiang; Biao Wang 003; Carmen Del Vecchio; Jun-e Feng (Inf. Sci., 2025)

DR-PETS: Learning-Based Control With Planning in Adversarial Environments. - Hozefa Jesawada; Antonio Acernese; Giovanni Russo 002; Carmen Del Vecchio (CoRR, 2025)