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This paper presents a new multi-muscle force estimation approach based on a HD-sEMG/force model in experimental context. Accordingly, we will try to estimate the muscle force of the three elbow flexors: Biceps Brachii (BB), Brachialis (BR) and Brachioradialis (BRD) in isometric isotonic conditions. This will be done by using a recently proposed sEMG/force equation model validated by simulation. For...
Fault detection and diagnosis is a research area that has a significant impact due to commercial and industrial implications. The study presented in this paper is based on the idea that mathematical models can be assigned to any processes so, in this context, we have started from the assumption that the fault monitoring and detection in industrial processes could be made using frequency model of the...
This article shows the effects of various parameters like modulation or the radio channel conditions on sea turtles trajectory estimated by terrestrial localization algorithms. This work is part of wireless sensors networks domain in the marine and terrestrial environment in the world of living beings. It allows to identify and understand the parameters that lead to inaccuracies over the sea turtles...
This paper studies a selection of estimation schemes for tracking problems where sensors measure range and Doppler while no directional measurements are provided. The selected estimators are relatives of the Kalman filter where either the state propagation equation or the measurement equation is non-linear. Known schemes are compared with a new filter operating in Cartesian state space. The new filter...
This paper presents the design of Unscented Kalman Filter (UKF) for estimation of state space variables of permanent magnet synchronous machine (PMSM). The UKF is shown together with the field oriented speed control. At first, the position and the speed of PMSM are measured, and UKF is used only for a load torque estimation. It is indicated how differences in sampling time of the speed and the current...
Powered Two-Wheeled vehicles (PTWv) are an increasingly popular means of transport. The cost and the risks of the development phase of this vehicles has to be diminished in order to ensure acceptable levels of comfort and safety for riders upstream of hazardous driving situations. It is required to study motorcycle while riding in cornering and lane-keeping to interpret the dynamics behavior. Thus,...
Control reliability of interior permanent magnet generator (IPMG) depends on accurate knowledge of the generator outputs (torque, currents etc.) and model parameters (resistance, inductances etc.). These outputs and parameters can be obtained by measurements or can be estimated. Reducing measurement equipment, cost of the control system is reduced as well. On the other hand, if control system contains...
Flapping Wings MAV (FWMAV) is the result of UAV technology development with the mechanism of flapping wings and with the dimensions of the object as small as possible. Modeling of FWMAV dynamics is needed to predict future conditions based on information from current conditions and designed control actions. Modeling of the FWMAV system is done by system identification, based on measurable data from...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
Accurate hand-eye calibration is a very significant task in robotics. Many algorithms focus on L optimization, and Least Square Estimation (LSE) is usually employed to deal with this problem. For the reason that LSE can only be applied to occasions that errors obey normal distribution, LSE can lead to a lower precision of calibration result when gross errors occur. Different from the existing approaches,...
In recent years, several new methods for missing data estimation have been developed. Real world datasets possess the properties of big data being volume, velocity and variety. With an increase in volume which includes sample size and dimensionality, existing imputation methods have become less effective and accurate. Much attention has been given to narrow Artificial Intelligence frameworks courtesy...
The article considers the algorithm of estimation of systematic measurements of aircraft air parameters in flight, based on the application of methods of the theory of identification of dynamic systems. The main complexity of the problem under consideration is caused by the dependence of airspeed, angles of attack and slide on wind speed, since these signals, that is, airspeed, angles of attack and...
This study presents a procedure that improves the dielectric strength estimation of gas mixtures for superconducting applications. The procedure introduces a generalization factor into the conventional formula of ionization coefficient, which provides versatility and higher accuracy in the regression process of ionization coefficients obtained by solving the Boltzmann equation of gas mixtures with...
Presented paper deals with a model of the electromagnetic sources localization in near-field sources region and verification of selected algorithms for correct modelling estimations. The localization is performed from cross-correlation matrix of planar sensors network signals and further cross-correlation matrix decomposition — Multiple Signal Classification (MUSIC). The whole mathematical model from...
This paper proposes an estimation method for the latent variable Rasch model based on the method of least squares which allows a continuous data set using. The research suggests the application of original approaches within the method for the solution of some applied problems. The authors explain how to use it for task assignment and work organization, decision-making under certainty and the securities...
Distributed estimation has been an active research area since the late 1970's, starting with decentralized filtering and estimation for control of large scale systems. Early research focused on optimal fusion to reconstruct the best global estimate by de-correlating the local estimates to avoid double counting of information. This approach was extended to distributed estimation for general sensor...
With the increase of state dimension, the calculation of UKF algorithm increases rapidly, and UKF is more sensitive to model error, and it is not suitable for the system model with noise as non-Gaussian distribution. Aiming at this problem, this paper proposes a robust model predictive Unscented Kalman filter based on the study of robust estimation, model predictive filtering and UKF. The algorithm...
A full cycle pulse current peak envelope sensorless technique is presented in the paper, using the pulse injected and the chopper control mode with fixed chopping falling time for the rotor position detected. The high frequency pulse injected in the non conducting region, the chopper control mode in the conducting region, the discrete peak values of the pulse current are detected, the full cycle pulse...
The article is devoted to the construction of a mathematical model and the algorithm for reducing a set of staganalytical correlated methods taking into account the computational complexity of the problem. The basic steganographic methods for the images spatial domain are described. Known steganalytical algorithms for the spatial domain are reviewed. It is shown that a significant number of steganalytical...
Most of the robotic manipulators are used to perform only repetitive fixed objectives because the robustness of the motion is restrained due to the properties of grasping objects and tools. It is hard to perform a robust manipulation with grasping object based uncertainties. It is important to estimate physical parameters of the grasping object such as grasping position and inertia in order to extend...
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