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2020 – today
- 2024
[j3]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]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]Edoardo Vacchini, Nikolas Sacchi, Michele Cucuzzella, Antonella Ferrara:
Robust Sliding Manifold Design for Uncertain Linear Systems. ECC 2024: 3670-3675 - [c7]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]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]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]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]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]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]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]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]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
Coauthor Index
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