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How to mathematically optimize drug regimens using optimal control [PDF]
This article gives an overview of a technique called optimal control, which is used to optimize real-world quantities represented by mathematical models. I include background information about the historical development of the technique and applications in a variety of fields.
openaire +3 more sources
Zero-Convex Functions, Perturbation Resilience, and Subgradient Projections for Feasibility-Seeking Methods [PDF]
The convex feasibility problem (CFP) is at the core of the modeling of many problems in various areas of science. Subgradient projection methods are important tools for solving the CFP because they enable the use of subgradient calculations instead of ...
Daniel Reem, Daniel Reem, Yair Censor
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Research and Education in Computational Science and Engineering [PDF]
Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the ...
Biros, George +32 more
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We study optimal control problems in infinite horizon when the dynamics belong to a specific class of piecewise deterministic Markov processes constrained to star-shaped networks (inspired by traffic models). We adapt the results in [H. M. Soner. Optimal
Goreac, Dan +2 more
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A quaternion-based model for optimal control of the SkySails airborne wind energy system
Airborne wind energy systems are capable of extracting energy from higher wind speeds at higher altitudes. The configuration considered in this paper is based on a tethered kite flown in a pumping orbit.
Diehl, Moritz +2 more
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Nonlinear system identification and control using state transition algorithm
By transforming identification and control for nonlinear system into optimization problems, a novel optimization method named state transition algorithm (STA) is introduced to solve the problems.
Alfi +24 more
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Preface to the Special Issue on “Control, Optimization, and Mathematical Modeling of Complex Systems” [PDF]
Mikhail Posypkin +2 more
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Self-Evaluation Applied Mathematics 2003-2008 University of Twente [PDF]
This report contains the self-study for the research assessment of the Department of Applied Mathematics (AM) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente (UT).
Mouthaan, A.J., Vegt, J.J.W. van der
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We establish three tractable, jointly sufficient conditions for the control landscapes of non-linear control systems to be trap free comparable to those now well known in quantum control.
Rabitz, Herschel +2 more
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We propose a direct numerical method for the solution of an optimal control problem governed by a two-side space-fractional diffusion equation. The presented method contains two main steps.
Ali, Mushtaq Salh +4 more
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