Time‐varying magnetic field analysis using an improved meshless method based on interpolating moving least squares

Arehpanahi, Mehdi; Jamalifard, Hamid Reza

doi:10.1049/iet-smt.2017.0557

Cited by 3 publications

(2 citation statements)

References 17 publications

(13 reference statements)

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“…Each of them is devoted to special ussue. For example, identification of nonlinear systems [5], time-varing magnetic field analysis [6], signal processing [7], lines approximation in multidimentional space [8]. But among them, researches connected with LSQ utilization at microcontrollers when amount of RAM is limited and time constraint are strict are not found.…”

Section: Using Least Squares Methods For Parameter Evaluationmentioning

confidence: 99%

Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers

Olonichev¹,

Staroverov²,

Smirnov³

2020

Adv. sci. technol. eng. syst. j.

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Modern microcontrollers are capable to realize not only traditional PID-regulators but also adaptive ones. Object of control parameters estimation is the biggest part of adaptive control from the point of view of time consumption. The ways to reduce this time for digital control systems based on ARM-CORTEX 32-bit and 64-bit processors are shown in the article. These ways include source code refactoring, using vector registers and parallelism of code. As result of program improvement, a new algorithm for least squares method was suggested. Intrinsics for vector operations and OMP directives were added to the program to realize data and code parallelism. All options were tested for time consumption in order to find out the best decision. The program suggested may be useful while realizing adaptive controller based on single-board mini-computers and microcontrollers

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Section: Using Least Squares Methods For Parameter Evaluationmentioning

confidence: 99%

Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers

Olonichev¹,

Staroverov²,

Smirnov³

2020

Adv. sci. technol. eng. syst. j.

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“…In the local region of a fitting function selected, the fitting function is [18][19][20][21][22][23]:…”

Section: Establishment Of Fitting Functionmentioning

confidence: 99%

Location Optimization Model of a Greenhouse Sensor Based on Multisource Data Fusion

Qiao

Zhang

Liu³

et al. 2022

Complexity

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In the traditional case, the uncertainty of the ambient temperature measured by the experiential distributed sensor is considered. In this paper, a model based on the moving least square method in the fusion algorithm is proposed to study the optimal monitoring point of the sensor in the greenhouse and determine the most suitable installation position of the sensor in the greenhouse to improve the control effect of the temperature control device of the system. MATLAB simulation software is used to simulate each working condition of the greenhouse. Temperature data measured at 15 locations in the greenhouse were used to evaluate all possible combinations of monitoring locations and to estimate the optimal location for indoor temperature sensors. Compared with the traditional method, the error is reduced to 0.373, and the data are more accurate.

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Research on Identification Process of Nonlinear System Based on An Improved Recursive Least Squares Algorithm

Tan

Zhang

Sun

et al. 2019

2019 Chinese Control and Decision Conference (CCDC)

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Time‐varying magnetic field analysis using an improved meshless method based on interpolating moving least squares

Cited by 3 publications

References 17 publications

Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers

Dynamic Objects Parameter Estimation Program for ARM Processors Based Adaptive Controllers

Location Optimization Model of a Greenhouse Sensor Based on Multisource Data Fusion

Research on Identification Process of Nonlinear System Based on An Improved Recursive Least Squares Algorithm

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