Results 81 to 90 of about 89,045 (96)
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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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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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Controllability and Optimization
2003We 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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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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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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2008
There are several optimal control problems that can be naturally cast in a set-theoretic framework and for which set-theoretic techniques provide efficient tools. Although by far non-exhaustive, this chapter considers several cases and discusses several solutions.
Stefano Miani, Franco Blanchini
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There are several optimal control problems that can be naturally cast in a set-theoretic framework and for which set-theoretic techniques provide efficient tools. Although by far non-exhaustive, this chapter considers several cases and discusses several solutions.
Stefano Miani, Franco Blanchini
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An Optimally Controlled Respirator
IEEE Transactions on Biomedical Engineering, 1971An 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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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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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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1973
Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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Recently, a number of general methods for obtaining necessary conditions for optimality have been derived (see [2],[3],[5]). In [4], the author has given a general method, starting from the following basic problem: BP(S,f): “Given a set S in Rn and a function f: Rn →R1 , determine xeS such that f(x) is maximal”.
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2007
The most important job of industrial robots is moving between two points rest-to-rest. Minimum time control is what we need to increase industrial robots productivity. The objective of time-optimal control is to transfer the end-effector of a robot from an initial position to a desired destination in minimum time.
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The most important job of industrial robots is moving between two points rest-to-rest. Minimum time control is what we need to increase industrial robots productivity. The objective of time-optimal control is to transfer the end-effector of a robot from an initial position to a desired destination in minimum time.
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1998
Abstract This chapter gives a self‐contained introduction to optimal control of stochastic differential equations. We derive the Hamilton‐Jacobi‐Bellman equation as well as a verification theorem. The general theory is then applied to optimal consumption and investment problems.
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Abstract This chapter gives a self‐contained introduction to optimal control of stochastic differential equations. We derive the Hamilton‐Jacobi‐Bellman equation as well as a verification theorem. The general theory is then applied to optimal consumption and investment problems.
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