[HTML][HTML] Optimal experiment design for identification of ARX models with constrained output in non-Gaussian noise
V Stojanovic, N Nedic, D Prsic, L Dubonjic - Applied Mathematical …, 2016 - Elsevier
The identification of ARX models with constrained output variance in the presence of non-
Gaussian distribution of measurements is proposed in this paper. In the presence of non …
Gaussian distribution of measurements is proposed in this paper. In the presence of non …
Adaptive input design for identification of output error model with constrained output
V Stojanovic, V Filipovic - Circuits, Systems, and Signal Processing, 2014 - Springer
Optimal input design for system identification is an area of intensive modern research. This
paper considers the identification of output error (OE) model, for the case of constrained …
paper considers the identification of output error (OE) model, for the case of constrained …
System identification using quantized data
In this paper we consider the problem of identification of linear systems using quantized
data. We argue that, where possible, it is desirable to not utilize" naively" quantized data but …
data. We argue that, where possible, it is desirable to not utilize" naively" quantized data but …
Closed loop experiment design for linear time invariant dynamical systems via LMIs
H Hjalmarsson, H Jansson - automatica, 2008 - Elsevier
All stationary experimental conditions corresponding to a discrete-time linear time-invariant
causal internally stable closed loop with real rational system and feedback controller are …
causal internally stable closed loop with real rational system and feedback controller are …
Identification test design for multivariable model-based control: An industrial perspective
ML Darby, M Nikolaou - Control Engineering Practice, 2014 - Elsevier
The design of plant tests to generate data for identification of dynamic models is critically
important for development of model-based process control systems. Multivariable process …
important for development of model-based process control systems. Multivariable process …
A virtual closed loop method for closed loop identification
Indirect methods for the identification of linear plant models on the basis of closed loop data
are based on the use of (reconstructed) input signals that are uncorrelated with the noise …
are based on the use of (reconstructed) input signals that are uncorrelated with the noise …
An application-oriented approach to dual control with excitation for closed-loop identification
Identification of systems operating in closed loop is an important problem in industrial
applications, where model-based control is used to an increasing extent. For model-based …
applications, where model-based control is used to an increasing extent. For model-based …
Robustness in experiment design
This paper focuses on the problem of robust experiment design, ie, how to design an input
signal which gives relatively good estimation performance over a large number of systems …
signal which gives relatively good estimation performance over a large number of systems …
Factorial design for efficient experimentation
JC Spall - IEEE Control Systems Magazine, 2010 - ieeexplore.ieee.org
While James Dyson's eponymous company, Dyson Ltd., based in Malmesbury, United
Kingdom, is known to make high-quality vacuum cleaners, Dyson might have saved himself …
Kingdom, is known to make high-quality vacuum cleaners, Dyson might have saved himself …
Disturbance modelling for minimum variance control in adaptive optics systems using wavefront sensor sampled-data
Modern large telescopes are built based on the effectiveness of adaptive optics systems in
mitigating the detrimental effects of wavefront distortions on astronomical images. In …
mitigating the detrimental effects of wavefront distortions on astronomical images. In …