Results 11 to 20 of about 4,395,268 (339)
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.
Supurna Sinha +2 more
openaire +4 more sources
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
openaire +5 more sources
Communications in Mathematical Sciences, 2022 Least squares Monte Carlo methods are a popular numerical approximation method for solving stochastic control problems. Based on dynamic programming, their key feature is the approximation of the conditional expectation of future rewards by linear least squares regression.
Bayer, Christian +5 more
openaire +6 more sources
Optimal control and inverse optimal control by distribution matching [PDF]
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 Optimal control is a powerful approach to achieve optimal behavior. However, it typically requires a manual specification of a cost function which often contains several objectives, such as reaching goal positions at different time steps or energy efficiency.
Arenz, O., Abdulsamad, H., Neumann, G.
openaire +4 more sources
Prioritized optimal control [PDF]
2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 This paper presents a new technique to control highly redundant mechanical systems, such as humanoid robots. We take inspiration from two approaches. Prioritized control is a widespread multi-task technique in robotics and animation: tasks have strict priorities and they are satisfied only as long as they do not conflict with any higher-priority task ...
Del Prete, Andrea +5 more
openaire +3 more sources
Optimal CAR T-cell Immunotherapy Strategies for a Leukemia Treatment Model
Games, 2020 CAR T-cell immunotherapy is a new development in the treatment of leukemia, promising a new era in oncology. Although so far, this procedure only helps 50–90% of patients and, like other cancer treatments, has serious side effects.
Evgenii Khailov +2 more
doaj +1 more source
Optimal Bunching without Optimal Control [PDF]
SSRN Electronic Journal, 2005 This paper presents simple sufficient conditions under which optimal bunches in adverse-selection principal-agent problems can be characterized without using optimal control theory.
Georg Nöldeke +2 more
openaire +8 more sources
The 2-good-neighbour diagnosability of modified bubble-sort graphs under the PMC and MM* model
Systems Science & Control Engineering, 2020 The study of interconnection networks is a hot topic for multiprocessor systems. Diagnosability plays an important role in the study of interconnection networks. A new measure for fault diagnosis of a system is proposed by Peng et al. in 2012.
Yanling Wang, Shiying Wang
doaj +1 more source
Minimization of the Compliance under a Nonlocal p-Laplacian Constraint
Mathematics, 2023 This work is an extension of the paper by Cea and Malanowski to the nonlocal and nonlinear framework. The addressed topic is the study of an optimal control problem driven by a nonlocal p-Laplacian equation that includes a coefficient playing the role of
Fuensanta Andrés +2 more
doaj +1 more source