Bellman residuals minimization using online support vector machines

Esposito, G.; Martínez, Antonio Bascones

doi:10.1007/s10489-017-0910-7

Cited by 1 publication

(1 citation statement)

References 20 publications

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“…e Online-SVR algorithm, an online regression modelling method, is a time series analysis method, which can realize online dynamic update [32,33]. e main difference between the Online-SVR model and traditional SVR model is the way of data processing [34]. Compared with the traditional SVR method, the data in the Online-SVR model is gradually generated in an orderly manner, and the computer cost in each iteration does not increase.…”

Section: Online-svr Modelmentioning

confidence: 99%

A LSTM-RNN-Based Fiber Optic Gyroscope Drift Compensation

Mao

et al. 2021

Mathematical Problems in Engineering

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Fiber optic gyroscope (FOG) inertial measurement unit (IMU) containing a three-orthogonal gyroscope and three-orthogonal accelerometer has been widely utilized in positioning and navigation of military and aerospace fields, due to its simple structure, small size, and high accuracy. However, noise such as temperature drift will reduce the accuracy of FOG, which will affect the resolution accuracy of IMU. In order to reduce the FOG drift and improve the navigation accuracy, a long short-term memory recurrent neural network (LSTM-RNN) model is established, and a real-time acquisition method of the temperature change rate based on moving average is proposed. In addition, for comparative analysis, backpropagation (BP) neural network model, CART-Bagging, classification and regression tree (CART) model, and online support vector machine regression (Online-SVR) model are established to filter FOG outputs. Numerical simulation based on field test data in the range of -20°C to 50°C is employed to verify the effectiveness and superiority of the LSTM-RNN model. The results indicate that the LSTM-RNN model has better compensation accuracy and stability, which is suitable for online compensation. This proposed solution can be applied in military and aerospace fields.

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Section: Online-svr Modelmentioning

confidence: 99%

A LSTM-RNN-Based Fiber Optic Gyroscope Drift Compensation

Mao

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

Bellman residuals minimization using online support vector machines

Cited by 1 publication

References 20 publications

A LSTM-RNN-Based Fiber Optic Gyroscope Drift Compensation

A LSTM-RNN-Based Fiber Optic Gyroscope Drift Compensation

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