Results 11 to 20 of about 137,583 (290)
An adaptive state of charge estimator for lithium‐ion batteries
Energy Science & Engineering, 2022 This study presents a data‐driven approach in conjunction with an adaptive extended Kalman filter (AEKF) to estimate lithium‐ion batteries' state of charge (SOC) online. The Thevenin battery model is used to evaluate the effects using battery voltage and
Muhammad U. Ali +7 more
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An online variable selection method using recursive least squares [PDF]
Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), 2012 This paper proposes a method for online variable selection and model learning (AdaFSML-RLS) to be applied in industrial applications in the context of adaptive soft sensors. In the proposed method the model learning is made online and recursivelly, i.e it is not necessary to store the past values of data while learning the model.
Francisco Souza, Rui Araujo
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Identification of the Servomechanism used for micro-displacement [PDF]
, 2009 Friction causes important errors in the control of small servomechanism and should be determined with precision in order to increase the system performance.
ABBA, Gabriel, BOGDAN, Ioana-Corina
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Adaptive State Feedback Control Method Based on Recursive Least Squares
Elektronika ir Elektrotechnika, 2022 This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical model of the time-varying system using the input/output data packets of the controller system ...
Mehmet Latif Levent, Omer Aydogdu
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Recursive estimation of exponential signals in impulsive noise using M-estimation [PDF]
, 2004 The 47th Midwest Symposium on Circuits and Systems Conference, Salt Lake City, Utah, USA, 25-28 July 2004This paper proposes a robust method for recursive estimating the frequencies and amplitudes of an exponential signal model under impulsive noise ...
Chan, SC, Zhang, Z
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Efficient Reinforcement Learning Using Recursive Least-Squares Methods
Journal of Artificial Intelligence Research, 2002 The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is mainly due to its fast convergence speed, which is considered to be optimal in practice.
Xu, Xin, He, Han-gen, Hu, Dewen
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Engineering Science and Technology, an International Journal, 2017 This paper presents a new hybrid method based on Gravity Search Algorithm (GSA) and Recursive Least Square (RLS), known as GSA-RLS, to solve the harmonic estimation problems in the case of time varying power signals in presence of different noises.
Santosh Kumar Singh +4 more
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Performance of adaptive bayesian equalizers in outdoor environments [PDF]
, 1997 Outdoor communications are affected by multipath propagation that imposes an upper limit on the system data rate and restricts possible applications. In order to overcome the degrading effect introduced by the channel, conventional equalizers implemented
Casadevall Palacio, Fernando José +1 more
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Research on parameter identification of shaking table systems based on the RLS method.
PLoS ONE, 2022 It is difficult to accurately establish a model of the real mesa system. Furthermore, a model of a seismic simulation vibration table array system is critical to increasing the accuracy of seismic testing in laboratory settings.
Chunhua Gao +4 more
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Complexity, 2021 This paper studies the state of charge (SOC) estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles.
Kai Wang +7 more
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