In this study, the authors present an overview of closed‐loop subspace identification
methods found in the recent literature. Since a significant number of algorithms has …

Recent results show that a predictive building automation can be used to operate buildings
in an energy and cost effective manner with only a small retrofitting requirements. In this …

Subspace methods have proven to be efficient for the identification of linear time-invariant
systems, especially applied to mechanical, civil or aeronautical structures in operation …

This paper describes the implementation of system identification and controller design
techniques using model predictive control (MPC) for wind turbines with distributed active …

In this brief, we present a novel methodology to obtain a nonlinear data-driven model of a
wind turbine. We have previously shown that the elementary dynamics of wind turbines can …

Due to advancing technology, systems in engineering are becoming increasingly complex
and interconnected. Despite the ubiquity of systems that can be modelled as interconnected …

This paper presents a practical approach to identify a global model of a wind turbine from
operational data, while it operates in a turbulent wind field with a varying mean wind speed …

Iterative learning control (ILC) is known as an effective technique to deal with reciprocating
motion and time-based disturbances. However, the spatially cyclic disturbances in rotary …

This paper presents a subspace identification method for closed-loop systems with unknown
deterministic disturbances. To deal with the unknown deterministic disturbances, two …

The development of a more reliable method of measuring the wind field upstream of a
turbine (light detection and ranging) has enabled the implementation of feedforward‐related …