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Research and Software Design of an Φ-OTDR-Based Optical Fiber Vibration Recognition Algorithm
Published 2020-01-01“…The data processing time is less than 2 s, and the accuracy of the system identification can reach 99%, which ensures the system’s validity.…”
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62
Closed Loop Finite Element Modeling of Piezoelectric Smart Structures
Published 2006-01-01“…Based on the structure responses determined by finite element method, a modern system identification technique known as Observer/Kalman filter Identification (OKID) technique is used to determine the system Markov parameters. …”
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63
A Review Article: Mitigation Strategies for Seismic Damage in Structures
Published 2025-02-01“…Moreover, the review delves into innovative methods like subspace system identification for damage detection and statistical analysis of seismic sequences, offering promising avenues for future research. …”
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64
State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives
Published 2025-01-01“…This review examines SSI-based algorithms, covering essential components such as system identification, noise mode elimination, stabilization diagram interpretation, and clustering techniques for mode identification. …”
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65
Analysis and Implementation of Sliding Mode Controller-Based Variable Frequency Drive Using the SCADA System
Published 2022-01-01“…It is clear from the above analysis that system identification is critical for tuning PI controllers. …”
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66
Numerical and Experimental Stability Investigation of a Flexible Rotor on Two Different Tilting Pad Bearing Configurations
Published 2014-01-01“…In this paper, the weighted instrumental variable (WIV) based system identification method for rotating machinery stability is investigated based on a sine sweep forward excitation with an electromagnetic actuator. …”
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67
Self-Excited Dynamics of Discrete-Time Lur'e Systems With Affinely Constrained, Piecewise-C<inline-formula><tex-math notation="LaTeX">$^{1}$</tex-math></inline-formula> Feed...
Published 2024-01-01“…In support of system identification and digital control of SES, this paper analyzes discrete-time Lur'e systems with affinely constrained, piecewise-C<inline-formula><tex-math notation="LaTeX">$^{1}$</tex-math></inline-formula> feedback nonlinearities. …”
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68
Robust integral sliding mode control for pressure management in multi-phase flow systems
Published 2025-03-01“…The contributions of this research include the development of a data-driven system identification methodology using a single-input, single-output (SISO) Hammerstein model, enabling precise pressure prediction based on experimental data collected from the lab. …”
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69
SINDy and PD-Based UAV Dynamics Identification for MPC
Published 2025-01-01“…Addressing the inherent platform constraints—where control inputs are restricted to specific attitude angles and z-axis velocities—thrust and torque are approximated via a PD controller, which serves as a practical intermediary for facilitating nonlinear system identification. Both methodologies leverage data-driven strategies to construct compact and interpretable models from experimental data, capturing significant nonlinearities with high fidelity. …”
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70
A Comparison of Evolutionary Computation Techniques for IIR Model Identification
Published 2014-01-01“…System identification is a complex optimization problem which has recently attracted the attention in the field of science and engineering. …”
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71
Optimization of Wireless Communication Coverage in Underground Tunnels Based on Zone Division
Published 2020-01-01“…The zones divided based on Fresnel zone clearance and system identification are too small or too large, which result in incorrect polarization switching and high path loss.…”
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72
A feasibility study on using soft insoles for estimating 3D ground reaction forces with incorporated 3D-printed foam-like sensors
Published 2025-01-01“…These results show promise for using 3D-printed soft piezoresistive foam-like sensors with system identification regarding the viability for applications that require softness, lightweight, and customization such as wearable (force) sensors.…”
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Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system
Published 2024-12-01“…Our research applies system identification approaches to the intricacies of this domain, providing new insights into choosing the best appropriate modeling strategy for multi phase flow systems, taking into account their distinct properties. …”
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75
Novel Intuitionistic Fuzzy Fault Tree Analysis for Effective Infectious Medical Waste Management
Published 2025-04-01“…Generally, to develop an effective medical waste management system, identification of the most critical incidents is needed, which requires a large quantity of data that may not be available. …”
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76
Mapping the Landscape of AI-Driven Human Resource Management: A Social Network Analysis of Research Collaboration
Published 2025-01-01“…The findings identify four primary research themes: AI for System Identification and Control, focusing on workforce planning and adaptive management; HR Analytics and Performance Management, emphasizing data-driven decision making; Machine Learning for Classification and Prediction, addressing talent acquisition and retention; and AI-Driven HR Decision-Making, exploring strategic planning and unbiased evaluation systems. …”
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77
Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study
Published 2025-01-01“…Trial registration The study protocol has been registered in the ClinicalTrials.gov Protocol Registration System, identification number NCT05698277.…”
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78
Use of Wiener- Hammerstein (WH) Model Optimized with Genetic ‎Algorithm in Identification of Photovoltaic System
Published 2025-01-01“…<p><span style="font-size: 11pt; line-height: 125%; font-family: Calibri, sans-serif;">System identification is a method of identification or measuring a mathematical model of a system by measuring the inputs and outputs of the system. …”
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79
Dynamics and Insights into the Unique Ecological Guild of Fungi in Bacteria-Bioaugmented Anaerobic Digesters
Published 2025-01-01“…The findings from this study provide insights into the fungal ecological guild of different bacteria-bioaugmented anaerobic digesters, highlighting their potentials in bacteria-augmented systems. Identification of an anaerobic fungal group within the phylum Ascomycota, beyond the well-known fungal phylum Neocallimastigomycota, offers a new perspective in optimizing the AD processes in specialized ecosystems.…”
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