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Recursive identification of time-varying Hammerstein systems with matrix forgetting
(IEEE, 2023-05-01)The real-time estimation of the time-varying Hammerstein system by using a noniterative learning schema is considered and extended to incorporate a matrix forgetting factor. The estimation is cast in a variational-Bayes ... -
Bayesian Inference of Total Least-Squares With Known Precision
(IEEE, 2022-09-06)This paper provides a Bayesian analysis of the total least-squares problem with independent Gaussian noise of known variance. It introduces a derivation of the likelihood density function, conjugate prior probability-density ... -
Adaptivity Schemes for Model Predictive Speed Control of PMSM
(IEEE, 2022-10-17)Model predictive control is a popular research topic in the field of motor control. Its direct way of implementing constraints and nonlinearities makes MPC a potential alternative to standard motor control approaches. On ... -
Interturn short circuit modelling in dual three-phase PMSM
(IEEE, 2022-10-17)In this study, model of a multi-phase permanent magnet synchronous motor is demonstrated. The model is designed to allow simulations of inter-turn short circuit faults of various severity. The considered multi-phase motor ... -
Improvement of the Temperature Stability of the Erbium-Doped Superfluorescent Fiber Source by Tuning the Reflectivity of the Fiber End
(IEEE, 2023-03-15)A novel and simple way of improving the mean wavelength temperature stability of the erbium-doped superfluorescent source is described and demonstrated. We show that by introducing small reflectivity feedback at the unpumped ... -
Detection of the Interturn Shorts of a Three-Phase Motor Using Artificial Intelligence Processing Vibration Data
(IEEE, 2022-12-07)The paper deals with description, design, learning and inference process of a convolutional 2D neural network for detection of shortened winding turns of a three-phase permanent magnet synchronous motor. Input datasets for ... -
Atlas Fusion - Modern Framework for Autonomous Agent Sensor Data Fusion
(IEEE, 2022-05-23)In this paper, we present our new sensor fusion framework for self-driving cars and other autonomous robots. We have designed our framework as a universal and scalable platform for building up a robust 3D model of the ... -
Bounded solutions to systems of fractional discrete equations
(De Gruyter, 2022-07-19)The article is concerned with systems of fractional discrete equations Delta(alpha)x(n + 1) = F-n(n, x(n), x(n - 1), ..., x(n(0))), n = n(0), n(0) + 1, ..., where n(0) is an element of Z , n is an independent variable, ... -
Absolute Stability of Neutral Systems with Lurie Type Nonlinearity
(De Gruyter, 2022-01-01)The paper studies absolute stability of neutral differential nonlinear systems (x) over dot (t) = Ax (T) + Bx (t - tau) +D(x) over dot (T - tau) + bf (sigma(t)), sigma(t) = c(T) x(t), t >= 0 where x is an unknown vector, ... -
Scale-Factor Stability Control Technique for Closed-Loop All-Fiber Interferometric Optical Gyroscope
(IEEE, 2021-06-01)The paper presents an effective method for scalefactor stabilization and modulation depth control in a lowcost all-fiber interferometric gyroscope utilizing a piezoelectric phase modulator to perform modulation for biasing ... -
Brno Urban Dataset: Winter Extension
(Elsevier, 2022-01-01)This paper presents our latest extension of the Brno Urban Dataset (BUD), the Winter Extension (WE). The dataset contains data from commonly used sensors in the automotive industry, like four RGB and single IR cameras, ... -
Human Detection in Depth Map Created from Point Cloud
(2022-04-02)This paper deals with human detection in the LiDAR data using the YOLO object detection neural network architecture. RGB-based object detection is the most studied topic in the field of neural networks and autonomous agents. ... -
Using an Automated Heterogeneous Robotic System for Radiation Surveys
(2020-06-29)During missions involving radiation exposure, unmanned robotic platforms may embody a valuable tool, especially thanks to their capability of replacing human operators in certain tasks to eliminate the health risks associated ... -
On Improving TLS Identication Results Using Nuisance Variables with Application on PMSM
(IEEE, 2021-11-13)This article presents a novel total least-squares based method for errors-in-variables model identication with a known structure. This method considers the errors of both input and output variables and thus achieves more ... -
Differential Evolution Based Nonlinear Model Predictive Speed Control of PMSM Implemented on GPU
(IEEE, 2021-06-20)In this paper, the novel approach to the nonlinear model predictive speed control of a permanent magnet synchronous motor and its implementation is introduced. The implementation is performed using general-purpose computing ... -
On a class of difference equations with interlacing indices
(Springer, 2021-06-16)Some results on the long-term behavior of solutions to a class of difference equations,which includes numerous nonlinear difference equations of various orders thatattracted some attention in the last 15 years, are presented. ...
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