Neural network based integral sliding mode control of systems with time-varying state constraints. - Nikolas Sacchi; Edoardo Vacchini; Antonella Ferrara (MED, 2023)

Design of a Deep Neural Network-Based Integral Sliding Mode Control for Nonlinear Systems Under Fully Unknown Dynamics. - Edoardo Vacchini; Nikolas Sacchi; Gian Paolo Incremona; Antonella Ferrara (IEEE Control. Syst. Lett., 2023)

Human-Robot Ergonomic Handover via Deep Neural Network Based Adaptive Integral Sliding Mode Control. - Nikolas Sacchi; Edoardo Vacchini; Antonella Ferrara (ECC, 2024)

Robust Sliding Manifold Design for Uncertain Linear Systems. - Edoardo Vacchini; Nikolas Sacchi; Michele Cucuzzella; Antonella Ferrara (ECC, 2024)

Design of Neural Networks Based Sliding Mode Control and Observation: An Overview. - Antonella Ferrara; Gian Paolo Incremona; Edoardo Vacchini; Nikolas Sacchi (VSS, 2024)

Robust Voltage Regulation for DC Microgrids via Passivity-Based Sliding Mode Control. - Edoardo Vacchini; Michele Cucuzzella; Pablo Borja 001; Antonella Ferrara (VSS, 2024)

On neural networks application in integral sliding mode control. - Nikolas Sacchi; Edoardo Vacchini; Gian Paolo Incremona; Antonella Ferrara (J. Frankl. Inst., 2024)