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NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles. [PDF]
Sci RepAboyeji E +3 more
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Decision, Inference, and Information: Formal Equivalences Under Active Inference. [PDF]
Entropy (Basel)Sweeney P, Ruiz-Serra J, Harré MS.
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Mathematical model analysis of drug resistance TB dynamics with immigrants and impact of media efficiency. [PDF]
Sci RepMulugeta KT, Dawed MY, Teklu SW.
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A parameter estimation method for modelling proton exchange membrane fuel cell based on enhanced meta evolutionary differential evolution algorithm. [PDF]
Sci RepPattanaik V +5 more
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Autonomous optimal control problems
Reports on Mathematical Physics, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
2015
Pontryagin (1962) and his associates developed the maximum principle for solving continuous-time control problems. Basically, the maximum (or minimum) principle provides a set of local necessary conditions for optimality. According to this method, variables analogous to the Lagrange multipliers should be introduced.
Dipak Basu, Victoria Miroshnik
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Pontryagin (1962) and his associates developed the maximum principle for solving continuous-time control problems. Basically, the maximum (or minimum) principle provides a set of local necessary conditions for optimality. According to this method, variables analogous to the Lagrange multipliers should be introduced.
Dipak Basu, Victoria Miroshnik
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2019
We consider discrete-time stochastic optimal control problems over a finite number of decision stages in which several controllers share different information and aim at minimizing a common cost functional. This organization can be described within the framework of “team theory.” Unlike the classical optimal control problems, linear-quadratic-Gaussian ...
Riccardo Zoppoli +3 more
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We consider discrete-time stochastic optimal control problems over a finite number of decision stages in which several controllers share different information and aim at minimizing a common cost functional. This organization can be described within the framework of “team theory.” Unlike the classical optimal control problems, linear-quadratic-Gaussian ...
Riccardo Zoppoli +3 more
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1997
In the present section we study optimization problems for elastic plates with obstacles. An optimal distribution of external forces is attained via the minimization of a functional which depends on the plate displacement. Therefore, the right-hand side of the variational inequality describing the displacement of an elastic plate with an obstacle loaded
A. M. Khludnev, J. Sokolowski
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In the present section we study optimization problems for elastic plates with obstacles. An optimal distribution of external forces is attained via the minimization of a functional which depends on the plate displacement. Therefore, the right-hand side of the variational inequality describing the displacement of an elastic plate with an obstacle loaded
A. M. Khludnev, J. Sokolowski
openaire +1 more source