1 citations · 2 across the 4 of their papers we have counts for
4 papers
On reconstructing high derivatives of noisy time-series with confidence intervals
Mazen Alamir
Reconstructing high derivatives of noisy measurements is an important step in many control, identification and diagnosis problems. In this paper, a heuristic is proposed to address…
optipoly: A Python package for boxed-constrained multi-variable polynomial cost functions optimization
Mazen Alamir
In this paper, a new python package (optipoly) is described that solves box-constrained optimization problem over multivariate polynomial cost functions. The principle of the algor…
Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems
Mazen Alamir, Raphaël Dion
In this paper, a new model-free anomaly detection framework is proposed for time-series induced by industrial dynamical systems.The framework lies in the category of conventional a…
A Framework and a python-package for Real-time NMPC parameters settings
Mazen Alamir
This paper presents a framework that enables a systematic and rational choice of NMPC design components such as control updating period, down-sampling period for prediction, contro…