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Nikolas Sacchi
Nikolas Sacchi
PhD Student, University of Pavia
Geverifieerd e-mailadres voor universitadipavia.it
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Jaar
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
192023
Neural network-based practical/ideal integral sliding mode control
N Sacchi, GP Incremona, A Ferrara
IEEE Control Systems Letters 6, 3140-3145, 2022
162022
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
102023
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
62021
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
62021
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
42023
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
42021
On neural networks application in integral sliding mode control
N Sacchi, E Vacchini, GP Incremona, A Ferrara
Journal of the Franklin Institute 361 (13), 106989, 2024
32024
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
32023
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
32023
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
32022
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
22021
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
12024
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
12024
Neural Networks and Sliding Modes: Control, Observation, and Application to Robotics
N Sacchi
Università degli studi di Pavia, 2025
2025
Design of Neural Networks Based Sliding Mode Control and Observation: An Overview
A Ferrara, GP Incremona, E Vacchini, N Sacchi
2024 17th International Workshop on Variable Structure Systems (VSS), 142-147, 2024
2024
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
STUDY OF COLLISION AVOIDANCE APPROACHES FOR INDUSTRIAL MANIPULATORS
N SACCHI
2019
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