Examples of using Optimal control in English and their translations into Vietnamese
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These updated techniques include various developments in optimal control during the 1950s and 1960s, followed by development in stochastic,
In fact, as optimal control solutions are now often implemented digitally, contemporary control theory
Another optimal control problem is to find the way to drive the car so as to minimize its fuel consumption, given that it must complete a given course in a time not exceeding some amount.
downward by increments of not more than 50 to l25 mg at intervals of three to five days to obtain optimal control.
detect ambient brightness and automatically switch lights on and off, determine the vehicle's condition in real-time to enable optimal control.
downward by increments of not more than 50 to 125 mg at intervals of 3 to 5 days to obtain optimal control.
DIDO- MATLAB tool for optimal control GESOP- Graphical Environment for Simulation and OPtimization GPOPS-II- General-Purpose MATLAB Optimal Control Software PROPT- MATLAB Optimal Control Software Elmer G. Wiens: Optimal Control- Applications of Optimal Control Theory Using the Pontryagin Maximum Principle with interactive models.
Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved.
based on modeling demand as a normal distribution and MRP and some inventory problems can be formulated using optimal control.[51].
The suspension of the GT relies on a version of the 720S' Optimal Control Theory chassis, which uses signals from sensors to read the road ahead,
due to the advent of the MATLAB programming language, optimal control software in MATLAB has become more common.
based on modeling demand as a normal distribution and MRP and some inventory problems can be formulated using optimal control.[51].
due to the advent of the MATLAB programming language, optimal control software in MATLAB has become more common.
detect the colour and shape of the subject and to achieve optimal control such as during AE,
New mathematical techniques made it possible to control, more accurately, significantly more complex dynamical systems than the original flyball governor. These techniques include developments in optimal control in the 1950s and 1960s, followed by progress in stochastic, robust, adaptive
Numerical methods for optimal control.
Foundations of optimal control theory.
Drag and drop to optimal control.
On Optimal Control by Yu-Chi Ho.
Bang- bang solutions in optimal control.