Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ramazan Havangi"'
Autor:
Davood Soleymani, Ramazan Havangi
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 14, Iss 2, Pp 95-110 (2023)
Multi-Input and Output Radar System (MIMO) is a new type of radar system that has been the subject of much research in recent years due to its many advantages. Meanwhile, the issue of target tracking in MIMO radar systems is of great importance, and
Externí odkaz:
https://doaj.org/article/f2845a263cc54f17b1eb61f88118f2c1
Publikováno v:
International Journal of Industrial Electronics, Control and Optimization, Vol 4, Iss 1, Pp 1-11 (2021)
In this study, an adaptive controller for LTI systems with unknown and time varying input time delay is presented with the purpose of tracking. Due to the large area considered for time delay variations, the structure of the proposed controller is co
Externí odkaz:
https://doaj.org/article/f5349895bfc446759b170a71935a4e7d
Publikováno v:
مجله مدل سازی در مهندسی, Vol 18, Iss 60, Pp 143-156 (2020)
Abstract: In this article, a novel observer has been designed for the online estimation of time delay in SISO-LTI continuous time systems with uncertain and time variant delay in the control input. It is obvious that Laplace transfer function of a de
Externí odkaz:
https://doaj.org/article/ba6148d021cb42e78637041b39319022
Autor:
Ramazan Havangi
Publikováno v:
Automatika, Vol 59, Iss 1, Pp 94-103 (2018)
Particle filters have been widely used in nonlinear/non-Gaussian Bayesian state estimation problems. However, the particle filter (PF) is inconsistent over time. The inconsistency of PF mainly results from the particle depletion in resampling step an
Externí odkaz:
https://doaj.org/article/6ed4ffb235604d678a474cfaa0684878
Autor:
Ramazan Havangi
Publikováno v:
Electrical Engineering. 104:1001-1017
The state of charge (SOC) estimation is the core of any battery management system (BMS). However, the accurate SOC estimation is always a challenging task because it cannot be measured directly with sensors. An adaptive robust unscented Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b5788798a8dde8e512d3038ebe7eeab
https://doi.org/10.1007/s00202-021-01358-7
https://doi.org/10.1007/s00202-021-01358-7
Publikováno v:
International Journal of Sensors, Wireless Communications and Control. 10:935-944
Aims: In this paper, a novel estimator is presented, for online time delay estimation, in single input-single output LTI systems, with time variant and uncertain delay in control input. Background : The main studies made on systems with time-varying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0f340a60197127cc1f125f3dfffa86
https://doi.org/10.2174/2210327910666191216155745
https://doi.org/10.2174/2210327910666191216155745
Autor:
Ramazan Havangi
Publikováno v:
Robotica. 39:665-685
SUMMARYAn improved FastSLAM based on the robust square-root cubature Kalman filter (RSRCKF) with partial genetic resampling is proposed in this paper. In the proposed method, RSRCKF is used to design the proposal distribution of FastSLAM and to estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40715168768c2f4d528f63dca0375850
https://doi.org/10.1017/s026357472000065x
https://doi.org/10.1017/s026357472000065x
Autor:
Ramazan Havangi
Publikováno v:
Signal, Image and Video Processing. 14:1487-1495
The particle filter (PF) perform the nonlinear estimation and have received much attention from many engineering fields over the past decade. However, the standard PF is inconsistent over time due to the loss of particle diversity caused mainly by th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32db62a348117e33e5296f911866d91e
https://doi.org/10.1007/s11760-020-01678-4
https://doi.org/10.1007/s11760-020-01678-4
Publikováno v:
International Journal of Humanoid Robotics. 18
There is an extensive literature regarding multi-robot simultaneous localization and mapping (MRSLAM). In most part of the research, the environment is assumed to be static, while the dynamic parts of the environment degrade the estimation quality of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c3a9789e6b21affcbb8cf3d7bd18fa
https://doi.org/10.1142/s0219843621500110
https://doi.org/10.1142/s0219843621500110
Publikováno v:
International Journal of Robotics and Automation. 36
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f25da05caf9a74fba678ea5d0c84f05f
https://doi.org/10.2316/j.2021.206-0404
https://doi.org/10.2316/j.2021.206-0404