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Nikolas Sacchi

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2025
[j5]
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Nikolas Sacchi, Michele Cucuzzella, Antonella Ferrara:
Constrained ramp metering control based on sliding mode unknown input observers. Eur. J. Control 85: 101329 (2025)
[j4]
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Nikolas Sacchi, Michele Cucuzzella, Antonella Ferrara:
Constrained ramp metering control based on sliding mode unknown input observers. Eur. J. Control 86: 101369 (2025)
[c12]
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Gabriele Santangelo, Chiara Alessi, Nikolas Sacchi, Giovanna Nicora, Riccardo Bellazzi, Antonella Ferrara, Arianna Dagliati:
Upper Limb Movements Simulations with Generative Diffusion Models. AIME (2) 2025: 351-355
[c11]
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Chiara Alessi, Nikolas Sacchi, Antonella Ferrara:
Upper-Limb Force Estimation in Rehabilitation Robotics via Sliding Mode Based Observers. ECC 2025: 2539-2544
[c10]
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Chiara Alessi, Nikolas Sacchi, Antonella Ferrara:
A Flexible Clinician-Friendly Interface for Upper Limb Rehabilitation with Industrial Robots. ICORR 2025: 749-754
2024
[j3]
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Nikolas Sacchi, Edoardo Vacchini, Gian Paolo Incremona, Antonella Ferrara:
On neural networks application in integral sliding mode control. J. Frankl. Inst. 361(13): 106989 (2024)
[c9]
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Nikolas Sacchi, Edoardo Vacchini, Antonella Ferrara:
Human-Robot Ergonomic Handover via Deep Neural Network Based Adaptive Integral Sliding Mode Control. ECC 2024: 585-590
[c8]
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Edoardo Vacchini, Nikolas Sacchi, Michele Cucuzzella, Antonella Ferrara:
Robust Sliding Manifold Design for Uncertain Linear Systems. ECC 2024: 3670-3675
[c7]
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Antonella Ferrara, Gian Paolo Incremona, Edoardo Vacchini, Nikolas Sacchi:
Design of Neural Networks Based Sliding Mode Control and Observation: An Overview. VSS 2024: 142-147
2023
[j2]
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Edoardo Vacchini, Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara:
Design of a Deep Neural Network-Based Integral Sliding Mode Control for Nonlinear Systems Under Fully Unknown Dynamics. IEEE Control. Syst. Lett. 7: 1789-1794 (2023)
[c6]
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Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara:
Integral Sliding Modes Generation via DRL-Assisted Lyapunov-Based Control for Robot Manipulators. ECC 2023: 1-6
[c5]
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Nikolas Sacchi, Edoardo Vacchini, Antonella Ferrara:
Neural network based integral sliding mode control of systems with time-varying state constraints. MED 2023: 624-629
2022
[j1]
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Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara:
Neural Network-Based Practical/Ideal Integral Sliding Mode Control. IEEE Control. Syst. Lett. 6: 3140-3145 (2022)
[c4]
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Nikolas Sacchi, Enrico Simetti, Gianluca Antonelli, Giovanni Indiveri, Vincent Creuze, Marc Gouttefarde:
Analysis of Hybrid Cable-Thruster actuated ROV in heavy lifting interventions. IROS 2022: 8430-8435
2021
[c3]
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Nikolas Sacchi, Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara:
Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators. CDC 2021: 4388-4393
[c2]
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Nikolas Sacchi, Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara:
A Configuration Space Reference Generation Approach for Real-Time Collision Avoidance of Industrial Robot Manipulators. ECC 2021: 1316-1321
[c1]
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Nikolas Sacchi, Gian Paolo Incremona, Antonella Ferrara:
Deep Reinforcement Learning of Robotic Prosthesis for Gait Symmetry in Trans-Femoral Amputated Patients. MED 2021: 723-728

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