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pro vyhledávání: '"Taheri, Ehsan"'
Fuel-optimal trajectories are inherently sensitive to variations in model parameters, such as propulsion system thrust magnitude. This inherent sensitivity can lead to dispersions in cost-functional values, when model parameters have uncertainties. D
Externí odkaz:
http://arxiv.org/abs/2409.03884
Autor:
Nurre, Nicholas P., Taheri, Ehsan
Generating low-thrust transfer trajectories between Earth and the Near Rectilinear Halo Orbit (NRHO), that is selected for NASA's Gateway, can be challenging due to the low control authority available from the propulsion system and the important oper
Externí odkaz:
http://arxiv.org/abs/2409.03196
Minimum-fuel low-thrust trajectories typically consist of a finite, yet unknown number of switches in the thrust magnitude profile. This optimality-driven characteristic of minimum-fuel trajectories poses a challenge to the numerical methods that are
Externí odkaz:
http://arxiv.org/abs/2409.01490
Autor:
Saloglu, Keziban, Taheri, Ehsan
Solar-powered electric propulsion systems can operate in multiple modes and their operation is coupled to the power generated by solar arrays. However, the power produced by the solar arrays is a function of the solar array size and heliocentric dist
Externí odkaz:
http://arxiv.org/abs/2408.15943
Control laws derived from Control-Lyapunov Functions (CLFs) offer an efficient way for generating near-optimal many-revolution low-thrust trajectories. A common approach to constructing CLFs is to consider the family of quadratic functions using a di
Externí odkaz:
http://arxiv.org/abs/2408.14412
Autor:
Bowerfind, Sean R., Taheri, Ehsan
The reachable set of controlled dynamical systems consist of the set of all possible reachable states from an initial condition, over a certain period of time under various control and operation constraints and exogenous disturbances. For space appli
Externí odkaz:
http://arxiv.org/abs/2312.08191
In this paper, we develop a computationally-efficient approach to minimum-time trajectory optimization using input-output data-based models, to produce an end-to-end data-to-control solution to time-optimal planning/control of dynamic systems and hen
Externí odkaz:
http://arxiv.org/abs/2312.05724
Publikováno v:
In Journal of Environmental Chemical Engineering February 2024 12(1)
It is not surprising that the idea of efficient maintenance algorithms (originally motivated by strict emission regulations, and now driven by safety issues, logistics and customer satisfaction) has culminated in the so-called condition-based mainten
Externí odkaz:
http://arxiv.org/abs/1912.02708
Autor:
Mall, Kshitij, Taheri, Ehsan
Application of traditional indirect optimization methods to optimal control problems (OCPs) with control and state path constraints is not a straightforward task. However, recent advances in regularization techniques and numerical continuation method
Externí odkaz:
http://arxiv.org/abs/1910.09438