Results 1 to 10 of about 2,720,685 (175)

Asymptotic controllability and optimal control [PDF]

open access: yesJournal of Differential Equations, 2012
We consider a control problem where the state must reach asymptotically a target while paying an integral payoff with a non-negative Lagrangian. The dynamics is just continuous, and no assumptions are made on the zero level set of the Lagrangian. Through
Motta, Monica, Rampazzo, Franco
core   +7 more sources

Deception in Optimal Control [PDF]

open access: yes2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2018
In this paper, we consider an adversarial scenario where one agent seeks to achieve an objective and its adversary seeks to learn the agent's intentions and prevent the agent from achieving its objective.
Ornik, Melkior, Topcu, Ufuk
core   +2 more sources

Optimal control in pandemics [PDF]

open access: yesPhysical 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]

open access: yesSSRN 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

Reinforced optimal control

open access: yesCommunications 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]

open access: yes2016 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]

open access: yes2014 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

Stabilizability in optimal control [PDF]

open access: yesNonlinear Differential Equations and Applications NoDEA, 2020
AbstractWe extend the classical concepts of sampling and Euler solutions for control systems associated to discontinuous feedbacks by considering also the corresponding costs. In particular, we introduce the notions of Sample and Euler stabilizability to a closed target set$$\mathbf{C}$$Cwith$$({p_{0}},W)$$(p0,W)-regulated cost, for some continuous ...
Lai, Anna Chiara, Motta, Monica
openaire   +3 more sources

Optimal Bunching without Optimal Control [PDF]

open access: yesSSRN 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

Locally optimal controllers and globally inverse optimal controllers [PDF]

open access: yesAutomatica, 2014
In this paper we consider the problem of global asymptotic stabilization with prescribed local behavior. We show that this problem can be formulated in terms of control Lyapunov functions. Moreover, we show that if the local control law has been synthesized employing a LQ approach, then the associated Lyapunov function can be seen as the value function
Benachour, Sofiane   +2 more
openaire   +5 more sources

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