| Neural network-based practical/ideal integral sliding mode control N Sacchi, GP Incremona, A Ferrara IEEE Control Systems Letters 6, 3140-3145, 2022 | 13 | 2022 |
| Design of a deep neural network-based integral sliding mode control for nonlinear systems under fully unknown dynamics E Vacchini, N Sacchi, GP Incremona, A Ferrara IEEE Control Systems Letters 7, 1789-1794, 2023 | 9 | 2023 |
| Sliding mode based fault diagnosis with deep reinforcement learning add‐ons for intrinsically redundant manipulators N Sacchi, GP Incremona, A Ferrara International Journal of Robust and Nonlinear Control 33 (15), 9109-9127, 2023 | 6 | 2023 |
| Deep reinforcement learning of robotic prosthesis for gait symmetry in trans-femoral amputated patients N Sacchi, GP Incremona, A Ferrara 2021 29th Mediterranean Conference on Control and Automation (MED), 723-728, 2021 | 6 | 2021 |
| Experimental assessment of deep reinforcement learning for robot obstacle avoidance: a lpv control perspective GP Incremona, N Sacchi, B Sangiovanni, A Ferrara IFAC-PapersOnLine 54 (8), 89-94, 2021 | 5 | 2021 |
| Analysis of hybrid cable-thruster actuated ROV in heavy lifting interventions N Sacchi, E Simetti, G Antonelli, G Indiveri, V Creuze, M Gouttefarde 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| A configuration space reference generation approach for real-time collision avoidance of industrial robot manipulators N Sacchi, B Sangiovanni, GP Incremona, A Ferrara 2021 European Control Conference (ECC), 1316-1321, 2021 | 2 | 2021 |
| Neural network based integral sliding mode control of systems with time-varying state constraints N Sacchi, E Vacchini, A Ferrara 2023 31st Mediterranean Conference on Control and Automation (MED), 624-629, 2023 | 1 | 2023 |
| Integral Sliding Modes Generation via DRL-Assisted Lyapunov-Based Control for Robot Manipulators N Sacchi, GP Incremona, A Ferrara 2023 European Control Conference (ECC), 1-6, 2023 | 1 | 2023 |
| Actuator Fault Diagnosis With Neural Network-Integral Sliding Mode Based Unknown Input Observers N Sacchi, GP Incremona, A Ferrara IFAC-PapersOnLine 56 (2), 773-778, 2023 | 1 | 2023 |
| Robust Sliding Manifold Design for Uncertain Linear Systems E Vacchini, N Sacchi, M Cucuzzella, A Ferrara 2024 European Control Conference (ECC), 3670-3675, 2024 | | 2024 |
| Human-Robot Ergonomic Handover via Deep Neural Network Based Adaptive Integral Sliding Mode Control N Sacchi, E Vacchini, A Ferrara 2024 European Control Conference (ECC), 585-590, 2024 | | 2024 |
| On neural networks application in integral sliding mode constrol N Sacchi, E Vacchini, GP Incremona, A Ferrara Journal of the Franklin Institute, 106989, 2024 | | 2024 |
| Model Predictive Control with Deep Neural Network Based Integral Sliding Modes Generation for a Class of Uncertain Nonlinear Systems N Sacchi, E Vacchini, GP Incremona, A Ferrara IFAC-PapersOnLine 58 (5), 84-89, 2024 | | 2024 |
| Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators N Sacchi, B Sangiovanni, GP Incremona, A Ferrara 2021 60th IEEE Conference on Decision and Control (CDC), 4388-4393, 2021 | | 2021 |
| STUDY OF COLLISION AVOIDANCE APPROACHES FOR INDUSTRIAL MANIPULATORS N SACCHI | | 2019 |
Antonella FerraraProfessor of Process Control and Robotics, University of Pavia, Italy在 unipv.it 的电子邮件经过验证
