Performance analysis of MIMO information time-delay systems with message queue under multiple communication parameters
X Zhan, X Du, J Wu, H Yan - IEEE Transactions on Systems …, 2023 - ieeexplore.ieee.org
A multiple-input–multiple-output (MIMO) infor-mation time-delay system (ITDS) has certain
performance limitations due to message queue, additive Gaussian white noise (AGWN) …
performance limitations due to message queue, additive Gaussian white noise (AGWN) …
Observer-based output feedback control of nonlinear 2-D systems via fuzzy-affine models
W Ji, J Qiu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Through Takagi-Sugeno (TS) fuzzy-affine models, the observer-based output feedback
control (OFC) of discrete-time nonlinear 2-D systems is investigated, where the 2-D system …
control (OFC) of discrete-time nonlinear 2-D systems is investigated, where the 2-D system …
Reducing black-box nonlinear state-space models: a real-life case study
A known challenge when building nonlinear models from data is to limit the size of the
model in terms of the number of parameters. Especially for complex nonlinear systems …
model in terms of the number of parameters. Especially for complex nonlinear systems …
[HTML][HTML] A frequency domain approach for local module identification in dynamic networks
KR Ramaswamy, PZ Csurcsia, J Schoukens… - Automatica, 2022 - Elsevier
In classical approaches of dynamic network identification, in order to identify a system
(module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output …
(module) embedded in a dynamic network, one has to formulate a Multi-input-Single-output …
User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs
This paper introduces a user-friendly estimation framework for industrial measurements of
vibro-acoustic systems with multiple inputs. Many mechanical structures are inherently …
vibro-acoustic systems with multiple inputs. Many mechanical structures are inherently …
Efficient multidimensional regularization for Volterra series estimation
G Birpoutsoukis, PZ Csurcsia, J Schoukens - Mechanical Systems and …, 2018 - Elsevier
This paper presents an efficient nonparametric time domain nonlinear system identification
method. It is shown how truncated Volterra series models can be efficiently estimated …
method. It is shown how truncated Volterra series models can be efficiently estimated …
Nonlinear modelling of an F16 benchmark measurement
Engineers and scientists want mathematical models of the observed system for
understanding, design, and control. Many mechanical and civil structures are nonlinear. This …
understanding, design, and control. Many mechanical and civil structures are nonlinear. This …
Unsteady Aerodynamic Lift Force on a Pitching Wing: Experimental Measurement and Data Processing
This work discusses the experimental challenges and processing of unsteady experiments
for a pitching wing in the low-speed wind tunnel of the Vrije Universiteit Brussel. The setup …
for a pitching wing in the low-speed wind tunnel of the Vrije Universiteit Brussel. The setup …
[HTML][HTML] LPRM: A user-friendly iteration-free combined Local Polynomial and Rational Method toolbox for measurements of multiple input systems
PZ Csurcsia - Software Impacts, 2022 - Elsevier
This paper introduces a user-friendly estimation toolbox for (industrial) measurements of
(vibro-acoustic) systems with multiple inputs. The vibration testing methods are very …
(vibro-acoustic) systems with multiple inputs. The vibration testing methods are very …
Revealing time-varying joint impedance with kernel-based regression and nonparametric decomposition
During movements, humans continuously regulate their joint impedance to minimize control
effort and optimize performance. Joint impedance describes the relationship between a …
effort and optimize performance. Joint impedance describes the relationship between a …