657 research outputs found
Leitmann's direct method of optimization for absolute extrema of certain problems of the calculus of variations on time scales
The fundamental problem of the calculus of variations on time scales concerns
the minimization of a delta-integral over all trajectories satisfying given
boundary conditions. This includes the discrete-time, the quantum, and the
continuous/classical calculus of variations as particular cases. In this note
we follow Leitmann's direct method to give explicit solutions for some concrete
optimal control problems on an arbitrary time scale.Comment: Accepted for publication (9/January/2010) in Applied Mathematics and
Computatio
How to collect data on household energy consumption
The existence of reliable, disaggregated information on residential fuel consumption and supply is essential to the formulation of sound household energy strategies. This report presents guidelines for designing and administering household energy surveys. The report is composed of four chapters. Following the introduction, chapter 1 presents the existing methodologies and the advantages and disadvantages of each. Chapter 3 discusses household energy surveying, from survey and questionaire design through fieldwork and data processing/analysis. Finally, in chapter 4, a checklist is presented for use as a quick reference during the creation of a household energy survey.Energy and Environment,Social Analysis,Energy Conservation&Efficiency,Engineering,Transport and Environment
Fractional Noether's theorem in the Riesz-Caputo sense
We prove a Noether's theorem for fractional variational problems with
Riesz-Caputo derivatives. Both Lagrangian and Hamiltonian formulations are
obtained. Illustrative examples in the fractional context of the calculus of
variations and optimal control are given.Comment: Accepted (25/Jan/2010) for publication in Applied Mathematics and
Computatio
Market Power, Resource Extraction and Pollution: Some Paradoxes and a Unified View
We adopt a stepwise approach to the analysis of a dynamic oligopoly game in which production makes use of a natural resource and pollutes the environment, starting with simple models where firms' output is not a function of the natural resource to end up with a full-fledged model in which (i) the resource is explicitly considered as an input of production and (ii) the natural resource and pollution interact via the respective state equations. This allows us to show that the relationship between the welfare properties of the economic system and the intensity of competition is sensitive to the degree of accuracy with which the model is constructed.
Intermediate scattering function of an anisotropic active Brownian particle
Various challenges are faced when animalcules such as bacteria, protozoa,
algae, or sperms move autonomously in aqueous media at low Reynolds number.
These active agents are subject to strong stochastic fluctuations, that compete
with the directed motion. So far most studies consider the lowest order moments
of the displacements only, while more general spatio-temporal information on
the stochastic motion is provided in scattering experiments. Here we derive
analytically exact expressions for the directly measurable intermediate
scattering function for a mesoscopic model of a single, anisotropic active
Brownian particle in three dimensions. The mean-square displacement and the
non-Gaussian parameter of the stochastic process are obtained as derivatives of
the intermediate scattering function. These display different temporal regimes
dominated by effective diffusion and directed motion due to the interplay of
translational and rotational diffusion which is rationalized within the theory.
The most prominent feature of the intermediate scattering function is an
oscillatory behavior at intermediate wavenumbers reflecting the persistent
swimming motion, whereas at small length scales bare translational and at large
length scales an enhanced effective diffusion emerges. We anticipate that our
characterization of the motion of active agents will serve as a reference for
more realistic models and experimental observations.Comment: 10 pages, 4 figure
Avoidance control
Dynamical systems were considered, subject to control by two agents, one of whom desires that no trajectory of the system, emanating from outside a given set, intersects the set no matter what the admissible actions of the other agent. Conditions are given whose satisfaction assures that a given control results in avoidance. Furthermore, these conditions are constructive in that they yield an avoidance feedback control. Some examples are presented
Evasion in the plane
Dynamic systems were considered subject to control by two agents, one of whom desires that no trajectory of the system emanating from outside a given set, intersects that set no matter what the admissible actions of the other agent. Constructive conditions sufficient to yield a feedback control for the agent seeking avoidance were employed to deduce an evader control for the planar pursuit-evasion problem with bounded normal accelerations
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