Suchergebnisse - recursive search-based identification algorithms

Recursive search‐based identification algorithms for the exponential autoregressive time series model with coloured noise

Autoren: Feng Ding Huan Xu Erfu Yang

Quelle: IET Control Theory & Applications. 14:262-270

Schlagwörter: QA75, 0209 industrial biotechnology, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf; text

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cta.2019.0429
https://strathprints.strath.ac.uk/72068/1/Xu_etal_IET_CTA_2019_Recursive_search_based_identification_algorithms_for_the_exponential_autoregressive.pdf
https://strathprints.strath.ac.uk/72068/
https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2019.0429
https://pureportal.strath.ac.uk/en/publications/recursive-search-based-identification-algorithms-for-the-exponent
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-cta.2019.0429
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-cta.2019.0429

Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise.

Autoren: Huan Xu Feng Ding Erfu Yang

Quelle: IET Control Theory & Applications (Wiley-Blackwell); 2020, Vol. 14 Issue 2, p262-270, 9p

Schlagwörter: BOX-Jenkins forecasting, TIME series analysis, PARAMETER identification, PARAMETER estimation, AUTOREGRESSIVE models, ALGORITHMS, NOISE

Recursive search‐based identification algorithms for the exponential autoregressive time series model with coloured noise.

Autoren: Xu, Huan Ding, Feng Yang, Erfu

Quelle: IET Control Theory & Applications (Wiley-Blackwell); Jan2020, Vol. 14 Issue 2, p262-270, 9p

Two‐stage recursive identification algorithms for a class of nonlinear time series models with colored noise.

Autoren: Xu, Huan Ding, Feng Gan, Min et al.

Quelle: International Journal of Robust & Nonlinear Control; 11/25/2020, Vol. 30 Issue 17, p7766-7782, 17p

Schlagwörter: TIME series analysis, BOX-Jenkins forecasting, PARAMETER estimation, ALGORITHMS, AUTOREGRESSIVE models, IDENTIFICATION

Recursive Identification for Fractional Order Hammerstein Model Based on ADELS

Autoren: Qibing Jin Youliang Ye Wu Cai et al.

Quelle: Mathematical Problems in Engineering. 2021:1-16

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: text/xhtml

Zugangs-URL: https://downloads.hindawi.com/journals/mpe/2021/6629820.pdf
https://EconPapers.repec.org/RePEc:hin:jnlmpe:6629820
http://downloads.hindawi.com/journals/mpe/2021/6629820.pdf
https://downloads.hindawi.com/journals/mpe/2021/6629820.pdf
https://www.hindawi.com/journals/mpe/2021/6629820/
https://ideas.repec.org/a/hin/jnlmpe/6629820.html

An indirect approach for online identification of continuous time‐delay systems.

Autoren: Sharma, Sudeep Padhy, Prabin K.

Quelle: International Journal of Numerical Modelling; Jan2022, Vol. 35 Issue 1, p1-26, 26p

Schlagwörter: ONLINE algorithms, TIME delay systems, CONTINUOUS time systems, SYSTEM identification, CONTINUOUS time models, HEATING

Model identification of ventilation air pump utilizing Ridge-momentum regression and Grid-based structure optimization

Autoren: Cong Toai Truong Trung Dat Phan Van Tu Duong et al.

Quelle: Mathematical Biosciences and Engineering, Vol 22, Iss 8, Pp 2020-2038 (2025)

Schlagwörter: arma model, ridge regression, momentum, grid search, model identification, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1551-0018

Zugangs-URL: https://doaj.org/article/acf2eea8872d49c7ad29dc4402b13788

Investigation of euclidean direction search based laguerre adaptive filterfor system identification

Autoren: Cheng Zhao S.S. Abeysekera

Quelle: Proceedings. 2005 International Conference on Communications, Circuits and Systems, 2005.. 2:691-695

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=32107&arnumber=1495207&count=176&index=10
http://ieeexplore.ieee.org/iel5/9992/32107/01495207.pdf

An Adaptive PID Control System for the Attitude and Altitude Control of a Quadcopter.

Autoren: Cedro, Leszek Wieczorkowski, Krzysztof Szcześniak, Adam

Quelle: Acta Mechanica et Automatica; Mar2024, Vol. 18 Issue 1, p29-39, 11p

Schlagwörter: ADAPTIVE control systems, PID controllers, MECHATRONICS, FACTORIES, NOISE measurement, NONLINEAR analysis, ALTITUDES, LEAST squares

Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer.

Autoren: Avellaneda-Gómez, Laura Sofía Cortés-Caicedo, Brandon Montoya, Oscar Danilo et al.

Quelle: Computation; Jun2025, Vol. 13 Issue 6, p146, 28p

Schlagwörter: PARTICLE swarm optimization, METAHEURISTIC algorithms, SEARCH algorithms, GAUSSIAN distribution, POWER resources

EfficientNet-based Cloud Network Infrastructure for Improved Early Detection of Breast Cancer.

Autoren: Sandhu, Jasjeet Kaur Kaur, Amandeep Sharma, Chetna

Quelle: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 3, p4493-4531, 39p

Schlagwörter: MACHINE learning, CANCER diagnosis, EARLY detection of cancer, FEATURE extraction, INFRASTRUCTURE (Economics)

Three‐stage multi‐innovation parameter estimation for an exponential autoregressive time‐series model with moving average noise by using the data filtering technique.

Autoren: Xu, Huan Ding, Feng Yang, Erfu

Quelle: International Journal of Robust & Nonlinear Control; 1/10/2021, Vol. 31 Issue 1, p166-184, 19p

Schlagwörter: BOX-Jenkins forecasting, AUTOREGRESSIVE models, PARAMETER estimation, TIME series analysis, ALGORITHMS, FILTERS & filtration, AUTOREGRESSION (Statistics), EXPONENTIAL families (Statistics)

Ensemble Classification Model With CFS‐IGWO–Based Feature Selection for Cancer Detection Using Microarray Data.

Autoren: Panda, Pinakshi Bisoy, Sukant Kishoro Kautish, Sandeep et al.

Quelle: International Journal of Telemedicine & Applications; 10/17/2024, Vol. 2024, p1-24, 24p

Schlagwörter: GREY Wolf Optimizer algorithm, EXTREME learning machines, FEATURE selection, PLURALITY voting, EARLY detection of cancer, K-nearest neighbor classification

A Two-Stage Topology Identification Strategy for Low-Voltage Distribution Grids Based on Contrastive Learning.

Autoren: Lei, Yang Yang, Fan Feng, Yanjun et al.

Quelle: Energies (19961073); Nov2025, Vol. 18 Issue 22, p5886, 18p

Schlagwörter: TOPOLOGY, GRAPH neural networks, ELECTRIC power distribution management, TIME series analysis, MACHINE learning, ELECTRIC power distribution grids, FAULT location (Engineering)

Parameter identification of interior permanent magnet synchronous based on local search-based hybrid genetic algorithm.

Autoren: Zhu, Yilin Chen, Qi Li, Kun et al.

Quelle: Journal of Electromagnetic Waves & Applications; Jun2022, Vol. 36 Issue 9, p1311-1322, 12p

Schlagwörter: PARAMETER identification, PERMANENT magnets, PERMANENT magnet motors, SEARCH algorithms, GENETIC algorithms

LUNG CANCER DETECTION USING RESNET50-CNN MODEL IN IMAGE PROCESSING.

Autoren: M. L., SRINIVASAN MALATHI, M.

Quelle: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p714-731, 18p

Forecasting Indonesia's Export Values Using SETAR-GA and SETAR-Tree.

Autoren: Kuswanto, Heri Kattaba, Yunus Iman Husna, Hidayatul et al.

Quelle: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p26599-26606, 8p

Schlagwörter: FORECASTING, NONLINEAR statistical models, INDONESIANS, GENETIC algorithms, RECURSIVE partitioning, ECONOMIC indicators, TIME series analysis

Geografische Kategorien: INDONESIA

Identification of Airline Turbulence Using WOA-CatBoost Algorithm in Airborne Quick Access Record (QAR) Data.

Autoren: Zhuang, Zibo Li, Haosen Shao, Jingyuan et al.

Quelle: Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 11, p4419, 19p

Schlagwörter: MACHINE learning, FLIGHT, METAHEURISTIC algorithms, TURBULENCE, SWARM intelligence, OPTIMIZATION algorithms, IDENTIFICATION, PARTICLE swarm optimization

An improved forgetting factor recursive least square and extended particle filtering algorithm for accurate lithium-ion battery state of energy estimation.

Autoren: Shen, Xianfeng Wang, Shunli Yu, Chunmei et al.

Quelle: Ionics; Oct2024, Vol. 30 Issue 10, p6179-6195, 17p

Maximum Power Point Tracking Strategy for Fuel Cells Based on an Adaptive Particle Swarm Optimization Algorithm.

Autoren: Han, Jing Zhou, Xinyao Wang, Chunsheng

Quelle: World Electric Vehicle Journal; Sep2025, Vol. 16 Issue 9, p506, 20p

Schlagwörter: FUEL cells, PARTICLE swarm optimization, PID controllers, OPTIMIZATION algorithms, MAXIMUM power point trackers, RENEWABLE energy sources