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Scholarpedia, 2008 Optimal control is the process of determining control and state trajectories for a dynamic system over a period of time to minimise a performance index.
V. Becerra
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Reaching the limit in autonomous racing: Optimal control versus reinforcement learning [PDF]
Science Robotics, 2023 A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: autonomous drone racing. We show that a neural network controller trained with
Yun-Long Song +4 more
semanticscholar +1 more source
An optimal control perspective on diffusion-based generative modeling [PDF]
Trans. Mach. Learn. Res., 2022 We establish a connection between stochastic optimal control and generative models based on stochastic differential equations (SDEs), such as recently developed diffusion probabilistic models.
Julius Berner +2 more
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Optimal control in pandemics [PDF]
Physical Review E, 2021 During a pandemic, there are conflicting demands arising from public health and economic cost. Lockdowns are a common way of containing infections, but they adversely affect the economy. We study the question of how to minimise the economic damage of a lockdown while still containing infections.
Joseph Samuel, Supurna Sinha
openaire +3 more sources
Optimal Coverage Path Planning for Agricultural Vehicles with Curvature Constraints
Agriculture, 2023 Complete coverage path planning (CCPP) is vital in mobile robot applications. Optimizing CCPP is particularly significant in precision agriculture, where it enhances resource utilization, reduces soil compaction, and boosts crop yields.
Maria Höffmann +2 more
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Algorithms, 2022 The article offers a possible treatment for the numerical research of tasks which require searching for an absolute optimum. This approach is established by employing both globalized nature-inspired methods as well as local descent methods for ...
Pavel Sorokovikov, Alexander Gornov
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Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting
Machine Learning and Knowledge Extraction, 2023 Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
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Optimally Controlling an Epidemic [PDF]
SSRN Electronic Journal, 2020 We propose a exible model of infectious dynamics with a single endogenous state variable and economic choices. We characterize equilibrium, optimal outcomes, static and dynamic externalities, and prove the following: (i) A lockdown generically is followed by policies to stimulate activity.
Gonzalez-Eiras, Martín, Niepelt, Dirk
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Remote Sensing, 2023 Obstacle detection is the primary task of the Advanced Driving Assistance System (ADAS). However, it is very difficult to achieve accurate obstacle detection in complex traffic scenes.
Wenyan Ci +5 more
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Optimal fluctuations and the control of chaos. [PDF]
, 2002 The energy-optimal migration of a chaotic oscillator from one attractor to another coexisting attractor is investigated via an analogy between the Hamiltonian theory of fluctuations and Hamiltonian formulation of the control problem.
Khovanov IA +14 more
core +3 more sources