Abstract Model uncertainty is a significant challenge to more widespread use of model
predictive controllers (MPC) for optimizing building energy consumption. This paper …

Model-based control of building energy offers an attractive way to minimize energy
consumption in buildings. Model-based controllers require mathematical models that can …

Velocity measurements from drifter GPS records are used in an ensemble-based data
assimilation technique to extract the river bathymetry. The method is tested on a deep …

Ensemble-Based Data Assimilation for Estimation of River Depths in: Journal of Atmospheric
and Oceanic Technology Volume 29 Issue 10 (2012) Jump to Content Jump to Main Navigation …

The building sector is responsible for about 40% of energy consumption, 40% of
greenhouse gas emissions, and 70% of electricity use in the US. Over 50% of the energy …

The building sector is responsible for about 40% of energy consumption, 40% of
greenhouse gas emissions, and 70% of electricity use in the US. Over 50% of the energy …

Inverse problems aim to find the causes of outcoming features knowing the consequences of
a model by calibrating the model's parameters to fit data. In this paper, we present a method …

We present an innovative interpretation of Kalman Filter (KF, for short) combining the ideas
of Schwarz Domain Decomposition (DD) and Parallel in Time (PinT) approaches. Thereafter …

In this paper we present a framework for the attack and fault detection in a Water Supply
System consisting of wireless sensors and drifters. The framework is derived using the Saint …

Saint-Venant equations are a set of quasi-linear partial differential equations that represent
the canal hydraulics. It is difficult to adapt to control. In this paper, by using a spatial …