Results 41 to 50 of about 7,261 (147)
Recursive Parsimonious Subspace Identification for Closed-Loop Hammerstein Nonlinear Systems
IEEE Access, 2019 In this paper, a recursive closed-loop subspace identification method for Hammerstein nonlinear systems is proposed. To reduce the number of unknown parameters to be identified, the original hybrid system is decomposed as two parsimonious subsystems ...
Jie Hou +4 more
doaj +1 more source
Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems
IEEE AccessThis paper presents a novel system identification algorithm for linear periodically time-varying (LPTV) plants within a discrete-time framework. The algorithm integrates a cyclic reformulation with a state coordinate transformation of the cycled system ...
Hiroshi Okajima +3 more
doaj +1 more source
IEEE Access, 2018 With the increasing demand for unsupervised learning for fault diagnosis, the subspace clustering has been considered as a promising technique enabling unsupervised fault diagnosis. Although various subspace clustering methods have been developed to deal
Jie Gao +4 more
doaj +1 more source
Subspace based system identification with periodic excitation signals
Systems & Control Letters, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
McKelvey, T, Akcay, H
openaire +3 more sources
Robust Switching Control and Subspace Identification for Flutter of Flexible Wing
Shock and Vibration, 2018 Active flutter suppression and subspace identification for a flexible wing model using micro fiber composite actuator were experimentally studied in a low speed wind tunnel.
Yizhe Wang, Zhiwei Xu, Wei Li
doaj +1 more source
Data-Driven Predictive Control Applied to Gear Shifting for Heavy-Duty Vehicles
Energies, 2018 In this paper, the data-driven predictive control method is applied to the clutch speed tracking control for the inertial phase of the shift process.
Xinxin Zhao, Zhijun Li
doaj +1 more source
Subspace state space system identification for industrial processes
Journal of Process Control, 1998 Abstract We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties. First, the basics of linear subspace identification are summarized.
Wouter Favoreel +2 more
openaire +1 more source
Enhanced Subspace Dynamic Mode Decomposition for Operational Modal Analysis of Aerospace Structures
AerospaceTo address the issue of low accuracy in the dynamic modal decomposition (DMD) method used for operational modal analysis (OMA) under noise conditions of aerospace structures, an enhanced identification approach is proposed in this paper, which integrates
Hao Zheng, Rui Zhu, Yanbin Li
doaj +1 more source
Data-driven modelling of a commercial cold storage system using subspace system identification
e-Prime: Advances in Electrical Engineering, Electronics and EnergyThis study presents subspace system identification of a cold storage system incorporating external temperature as input. The proposed model presents a holistic view of the whole system with each subsystem cohesively linked together.
Adesola Temitope Bankole +3 more
doaj +1 more source
Journal of Modern Power Systems and Clean Energy, 2017 In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is proposed as an advanced stochastic system identification (SSI) to extract the inter-area oscillation modes of a power system from wide-area measurements. For accurate
Deyou YANG, Guowei CAI, Kevin CHAN
doaj +1 more source