نتایج جستجو برای: unscneted kalman filter

تعداد نتایج: 125197  

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2012
vahid mohammadnia karim salahshoor

this paper presents an optimal integrated instrumentation sensor network design methodology for complex nonlinear chemical process plants using a combinatorial particle swarm optimiazation (cpso) engine. no comprehensive sensor network design approach has been addressed yet in the literature to simultaneously incorporate cost, precision and reliability requirements for nonlinear plants. the pre...

Journal: :the modares journal of electrical engineering 2004
ramezan havangi mohammad teshnehlab habib ghanbarpour asl

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...

Journal: :journal of artificial intelligence in electrical engineering 0

in the several past years, extended kalman filter (ekf) and unscented kalman filter (ukf) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.the ukf has consistently outperformed for estimation. sometimes least estimation error doesn't yieldwith ukf for the most nonlinear systems. in this paper, we use a new approach for a two variablesta...

Dadi, Gh. Mohammad, Pariz, N.,

The estimation of situation in a combinational navigation GPS/INS with least number of satellites is the main purpose of this paper. As inertial measurement unit uses altimeter for height measurement, we can assume which height poses certain amounts, whereas geographical length and width are unknown to us in this paper. The single difference GPS is employed for updating the inertial navigation ...

In the several past years, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.The UKF has consistently outperformed for estimation. Sometimes least estimation error doesn't yieldwith UKF for the most nonlinear systems. In this paper, we use a new approach for a two variablestate no...

Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...

and H. R. Momeni, M. Jafarboland, N. Sadati,

Control of a class of uncertain nonlinear systems, which estimates unavailable state variables, is considered. A new approach for robust tracking control problem of satellite for large rotational maneuvers is presented in this paper. The features of this approach include a strong algorithm to estimate attitude, based on discrete extended Kalman filter combined with a continuous extended Kalman ...

Journal: :journal of artificial intelligence in electrical engineering 2014
ahad golipour

in the present study, field oriented control of step motor implementation has been analyzed sothat it can make a sensorless control. efficiency and facilities of step motor is more than othertypes of electromotor. therefore, the numbers of mechanisms and different types of turning canbe made into them. also controlling these motors is easier than other available motors. steppingmotor has been d...

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

Journal: :international journal of electrical and electronics engineering 0
mahdi fathi department of aerospace engineering, malek ashtar university of technology nematollah ghahramani faculty/ department of electrical engineering, malek ashtar university of technology mohammad ali shahi ashtiani faculty/ department of aerospace engineering, malek ashtar university of technology mohsen fallah faculty/ department of electrical engineering, malek ashtar university of technology ali mohammadi faculty/department of aerospace engineering, malek ashtar university of technology

against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (ins/radar). this filter involves the concept of residual-based adaptive estimation and adaptive fading kalman filter and tunes dynamically the fil...

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