Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Erkan Kayacan"'
Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization
Publikováno v:
IEEE Access, Vol 8, Pp 1653-1669 (2020)
To facilitate accurate tracking in unknown/uncertain environments, this paper proposes a simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject to uncertainties. The SL strategy minimizes a cost function defin
Externí odkaz:
https://doaj.org/article/05d3ae45a27b46ba88b8ead1357ec442
Publikováno v:
Journal of Guidance, Control, and Dynamics. 43:2372-2382
Model predictive control (MPC) is an optimal control strategy where control input calculation is based on minimizing the predicted tracking error over a finite horizon that moves with time. This strategy has an advantage over conventional state feedb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d16d4c8f5bbc97f89d185033a345d19
https://doi.org/10.2514/1.g004925
https://doi.org/10.2514/1.g004925
High precision control and deep learning-based corn stand counting algorithms for agricultural robot
Publikováno v:
Autonomous Robots. 44:1289-1302
This paper presents high precision control and deep learning-based corn stand counting algorithms for a low-cost, ultra-compact 3D printed and autonomous field robot for agricultural operations. Currently, plant traits, such as emergence rate, biomas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c71e2783676622ded5bba607aade3b
https://doi.org/10.1007/s10514-020-09915-y
https://doi.org/10.1007/s10514-020-09915-y
Autor:
Joseph Chai, Erkan Kayacan
Publikováno v:
Electronics; Volume 12; Issue 6; Pages: 1488
This paper evaluates the L1 adaptive model predictive control (AMPC-L1) method in terms of its control performance and computational load. The control performance is assessed on the basis of the nonlinear simulation of a fly-back booster conducting s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f53b116b9f8969f4f7e5b3b3c250840a
https://doi.org/10.3390/electronics12061488
https://doi.org/10.3390/electronics12061488
Autor:
Erkan Kayacan, Ardashir Mohammadzadeh
Publikováno v:
Neurocomputing. 338:63-71
This paper develops a non-singleton type-2 fuzzy neural network (NT2FNN) with type-2 3-dimensional membership functions (MFs) and adaptive secondary membership. A new approach based on the square-root cubature quadrature Kalman filter (SR-CQKF) is pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7003c3b3cc0025f6e2beb5f34a8b640e
https://doi.org/10.1016/j.neucom.2019.01.095
https://doi.org/10.1016/j.neucom.2019.01.095
More efficient agricultural machinery is needed as agricultural areas become more limited and energy and labor costs increase. To increase their efficiency, trajectory tracking problem of an autonomous tractor, as an agricultural production machine,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ad003ed961cf7371265151590d4a8a
http://arxiv.org/abs/2104.06833
http://arxiv.org/abs/2104.06833
Publikováno v:
ResearcherID
This paper proposes a new robust trajectory tracking error-based control approach for unmanned ground vehicles. A trajectory tracking error-based model is used to design a linear model predictive controller and its control action is combined with fee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38f4225118df3047dcb2412c3b2af243
http://arxiv.org/abs/2103.16782
http://arxiv.org/abs/2103.16782
Autor:
Erkan Kayacan
Autonomous vehicle following systems are playing a decisive role to increase vehicle density on roads by shortening intervehicle time gaps. However, disturbance attenuation along a platoon of vehicles, i.e., string stability, is being a challenging t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c57d00d578bc84a8acf17a7c048944ca
http://arxiv.org/abs/2103.13830
http://arxiv.org/abs/2103.13830
Autor:
Erkan Kayacan
This paper addresses the Sliding Mode Learning Control (SMLC) of uncertain nonlinear systems with Lyapunov stability analysis. In the control scheme, a conventional control term is used to provide the system stability in compact space while a type-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25de47b715ea2c20aa1d64c3fe063633
http://arxiv.org/abs/2103.11274
http://arxiv.org/abs/2103.11274
Autor:
Girish Chowdhary, Erkan Kayacan
This paper presents a Tracking-Error Learning Control (TELC) algorithm for precise mobile robot path tracking in off-road terrain. In traditional tracking error-based control approaches, feedback and feedforward controllers are designed based on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fde64eb8f328db14be5d4847918f9840