Results 61 to 70 of about 638 (183)
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley +1 more source
Economic Growth and the Rise of Large Firms
I document that the right tail of the firm size distribution systematically thickens with economic development. To rationalize this fact, I develop a parsimonious idea search model in which both aggregate growth and the firm size distribution are endogenously determined.
Zhang Chen
wiley +1 more source
The properties of a minimax piecewise smooth solution of the Hamilton–Jacobi–Bellman equation are studied. It is known the Rankine–Hugoniot conditions are necessary and sufficient conditions for the points of nondifferentiability (singularity) of the ...
Aleksei S. Rodin
doaj +1 more source
Improved patchy solution to the Hamilton-Jacobi-Bellman equations [PDF]
We test a new patch type for the patchy approximate solution to the Hamilton-Jacobi-Bellman equations, and we see an improvement in the worst relative error on a nonlinear test problem.
Hunt, Thomas, Krener, Arthur J.
openaire +2 more sources
Three reasons to price carbon under uncertainty: Accuracy of simple rules
An easy‐to‐interpret rule for the optimal risk‐adjusted social cost of carbon is derived using perturbation analysis. This rule internalizes the adverse effects of global warming on the risk of recurring climate‐related disasters, the risk of irreversible cascading climate tipping points, and the usual effect on total factor productivity.
Ton van den Bremer +2 more
wiley +1 more source
Model Ambiguity versus Model Misspecification in Dynamic Portfolio Choice
ABSTRACT We study aversion to model ambiguity and misspecification in dynamic portfolio choice. Risk‐averse investors (relative risk aversion γ>1$\gamma > 1$) fear return persistence, while risk‐tolerant investors (0<γ<1$0<\gamma <1$) fear mean reversion, when confronting model misspecification concerns of identically and independently distributed (IID)
PASCAL J. MAENHOUT +2 more
wiley +1 more source
A Semi-Lagrangian Scheme for Hamilton--Jacobi--Bellman Equations on Networks
The authors discuss the numerical solution of a Hamilton-Jacobi-Bellmann (HJB) equation. A semi-Lagrangian scheme is proposed and basic properties of this scheme, as e.g., monotonicity, stability, almost Lipschitz regularity, and consistency are shown. The convergence of the approximate solution to the exact solution of the HJB equation is proved.
Elisabetta Carlini +2 more
openaire +2 more sources
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley +1 more source
Existence of viscosity solutions to abstract Cauchy problems via nonlinear semigroups
Abstract In this work, we provide conditions for nonlinear monotone semigroups on locally convex vector lattices to give rise to a generalized notion of viscosity solutions to a related nonlinear partial differential equation. The semigroup needs to satisfy a convexity estimate, so called K$K$‐convexity, with respect to another family of operators ...
Fabian Fuchs, Max Nendel
wiley +1 more source
This paper is devoted to the study of stochastic optimal control of averaged stochastic differential delay equations (SDDEs) with semi-Markov switchings and their applications in economics.
Mariya Svishchuk, Anatoliy V. Swishchuk
doaj +1 more source

