no code implementations • 3 May 2023 • Uyiosa Philip Amadasun, Patrick McNamee, Zahra Nili Ahmadabadi, Peiman Naseradinmousavi
Current experimental work has not developed robust methods to satisfactorily address the immediate set of problems a chaotic coverage path planner needs to overcome in order to scan realistic environments within reasonable coverage times.
no code implementations • 7 Sep 2022 • Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, Peiman Naseradinmousavi, Sinan Yildirim, Serhat Yeşilyurt, Ahmet Onat
Our MCMC-based RL algorithm is a model-free and gradient-free algorithm, in which the designer does not have to know the precise dynamics of the plant and its uncertainties.
no code implementations • 9 May 2022 • Bo wang, Sergey Nersesov, Hashem Ashrafiuon, Peiman Naseradinmousavi, Miroslav Krstić
We extend source seeking algorithms, in the absence of position and velocity measurements, and with tuning of the surge input, from velocity-actuated (unicycle) kinematic models to force-actuated generic Euler-Lagrange dynamic underactuated models.
1 code implementation • 7 Jul 2020 • Luca Parrinello, Panagiotis Dafnakis, Giovanni Bracco, Peiman Naseradinmousavi, Giuliana Mattiazzo, Amneet Pal Singh Bhalla
The results also show that for an irregular sea state, the sliding mode and perturbation-based ES schemes have better convergence to the optimum, in comparison to other ES schemes considered here.