Results 241 to 250 of about 4,643,442 (289)
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IFAC Proceedings Volumes, 1965
The paper treats a method for developing a control strategy for a continuously operating nonlinear process. The strategy is shown to be optimal in the steady state and for small disturbances. It is near optimal for larger disturbances.
Balchen, J. G., Aune, A. B.
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The paper treats a method for developing a control strategy for a continuously operating nonlinear process. The strategy is shown to be optimal in the steady state and for small disturbances. It is near optimal for larger disturbances.
Balchen, J. G., Aune, A. B.
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Optimal Control by Dynamic Controllers
Automation and Remote Control, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gabasov, R. +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.
Franco Blanchini, Stefano Miani
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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.
Franco Blanchini, Stefano Miani
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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
Wook Hyun Kwon, PooGyeon Park
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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
Wook Hyun Kwon, PooGyeon Park
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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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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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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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Cervical cancer prevention and control in women living with human immunodeficiency virus
Ca-A Cancer Journal for Clinicians, 2021Philip E Castle, Vikrant V Sahasrabuddhe
exaly
Applied Optimal Control: Optimization, Estimation, and Control
IEEE Transactions on Systems, Man, and Cybernetics, 1979Arthur E. Bryson +2 more
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