1 citations · 1 across the 5 of their papers we have counts for
5 papers
RAIN-FIT: Learning of Fitting Surfaces and Noise Distribution from Large Data Sets
Omar M. Sleem, Sahand Kiani, Constantino M. Lagoa
This paper proposes a method for estimating a surface that contains a given set of points from noisy measurements. More precisely, by assuming that the surface is described by the…
Willems' Fundamental Lemma with Large Noisy Fragmented Dataset
Sahand Kiani, Constantino M. Lagoa
Willems' Fundamental Lemma enables parameterizing all trajectories generated by a Linear Time-Invariant (LTI) system directly from data. However, this lemma relies on the assumptio…
Robust Data-Driven Invariant Sets for Nonlinear Systems
Sahand Kiani, Constantino M. Lagoa
The synthesis of robust invariant sets for nonlinear systems has traditionally been hindered by the inherent non convexity and a strict reliance on exact analytical models. This pa…
Robust Data-Driven Receding Horizon Control
Jian Zheng, Sahand Kiani, Mario Sznaier +1
This paper presents a data-driven receding horizon control framework for discrete-time linear systems that guarantees robust performance in the presence of bounded disturbances. Un…
Learning Robust Model Predictive Control for Voltage Control of Islanded Microgrid
Sahand Kiani, Hamed Kebriaei, Mohsen Hamzeh +1
This paper proposes a novel control design for voltage tracking of an islanded AC microgrid in the presence of {nonlinear} loads and parametric uncertainties at the primary level o…