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LQ Optimal Controls

2018
This chapter considers LQG optimal controls for input and state delayed systems. LQG controls use output feedback ones while LQ controls in the previous chapter require state feedback ones. State observers or filtered estimates are obtained from inputs and outputs to be used for LQG controls. First, finite horizon LQG controls are dealt with, which are
PooGyeon Park   +2 more
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Stochastic Optimal Control

1987
In the long history of mathematics, stochastic optimal control is a rather recent development. Using Bellman’s Principle of Optimality along with measure-theoretic and functional-analytic methods, several mathematicians such as H. Kushner, W. Fleming, R. Rishel. W.M. Wonham and J.M.
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Optimization and Control

2015
Considering the foundations, tools, and emerging discoveries of collaborative e-Work, as discussed in Chapters 1 and 2, it is realized that optimization and control are focused primarily on the core elements of e-Systems; agents, protocols, and workflows.
Jose Ceroni   +3 more
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Optimal Control of Photoisomerization

Physical Review Letters, 2005
We report on optimal control of the photoisomerization of 3,3-diethyl-2,2-thiacyanine iodide dissolved in methanol. Enhancement and reduction of the relative yield of cis to trans isomers are achieved; i.e., the quantum efficiency of the photoisomerization is controlled with optimally phase and amplitude shaped 400 nm femtosecond laser pulses.
Gerhard Vogt   +4 more
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Optimal Control and Dynamic Optimization

2003
Optimal control problems involve vector decision variables. These problems are one of the most mathematically challenging problems in optimization theory.
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The Optimal Control of a Train

Annals of Operations Research, 2000
We consider the problem of determining an optimal driving strategy in a train control problem with a generalised equation of motion. We assume that the journey must be completed within a given time and seek a strategy that minimises fuel consumption.
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Controllability and Optimization

2003
We consider n players P i , i = 1,…, n, that are involved in a so called dynamical game. We assume that every player is assigned a state vector function x i : ℕ0 → ℝ ni and has at his disposal a control vector function u i : ℕ0 → ℝ mi which are dynamically coupled by a system of difference equations $$ \begin{gathered} x_i (t + 1) = g_i (x(t), u(t))
Stefan Pickl, Werner Krabs
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Optimized joystick controller

The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
The purpose of the study was to develop an optimized joystick control interface for electric powered wheelchairs and thus provide safe and effective control of electric powered wheelchairs to people with severe physical disabilities. The interface enables clinicians to tune joystick parameters for each individual subject through selecting templates ...
Dan Ding   +2 more
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Optimal Control

2018
AbstractChapter 8 focuses on nonlinear optimal control and its applications. The chapter begins by introducing the fundamentals of optimal control and prototypical problem formulations. This is followed by the treatment of first-order necessary conditions including the Pontryagin minimum principle, dynamic programming, and the Hamilton–Jacobi–Bellman ...
Limebeer, David J. N., Massaro, Matteo
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An Optimally Controlled Respirator

IEEE Transactions on Biomedical Engineering, 1971
An optimally controlled respirator was developed. It has three main features: 1) ventilation is controlled by the patient's metabolic rate from continuously measured C0 2 output, 2) physiologic dead space approximated as a linear function of tidal volume is used to estimate alveolar ventilation, and 3) respiratory rate is computed to minimize ...
Chiyoshi Yoshimoto   +3 more
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