Ví dụ về việc sử dụng Optimal control trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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Drag and drop to optimal control.
Dosage may subsequently be adjusted upward or downward by increments of not more than 50 to 125 mg atintervals of 3 to 5 days to obtain optimal control.
More general conditions on the optimal control are given below.
These four conditions in(1)-(4) are the necessary conditions for an optimal control.
It has been shown in classical optimal control theory that the LQ(or LQR) optimal control has the feedback form.
The glass façades are triple glazed andhave external blinds for optimal control of heat gain from the sun.
In fact, as optimal control solutions are now often implemented digitally, contemporary control theory is now primarily concerned with discrete time systems and solutions.
Finally the LQG controller is also fundamental to the optimal control of perturbed non-linear systems.[1].
The level of asthma control should be closely monitored in pregnant women andtreatment adjusted as necessary to maintain optimal control.
Itex was born with a clear idea,namely achieving true decentralization with optimal control and better than existing manipulations on the market;
Dosage may subsequently be adjusted upward or downward by increments of not more than 50 tol25 mg at intervals of three to five days to obtain optimal control.
The Shockwatch sensor on all handpieces guarantees optimal control, and the system can also be repaired much faster on site thanks to a revolutionary mechanism.
From driving over muddy or uneven road surfaces to icy roads, the Locking differential(LD)offers the highest level of traction to stabilize the vehicle for optimal control.
The approach that has risen to prominence in numerical optimal control over the past two decades(i.e., from the 1980s to the present) is that of so-called direct methods.
Your doctor will also establish the nash protocol for you, in which you will be put on a plan for weight reduction,exercise, and optimal control of lipids and glucose(fats and sugars/carbohydrates).
Pontryagin's Principle Illustrated with Examples On Optimal Control by Yu-Chi Ho Pseudospectral optimal control: Part 1 Pseudospectral optimal control: Part 2.
Built-in sensors, such as light sensors that detect ambient brightness and automatically switch lights on and off,determine the vehicle's condition in real-time to enable optimal control.
These measured values are used to calculate the batterycharge status(the remaining battery capacity) for optimal control of the traction motors and generators for hybrid vehicles.
These updated techniques comprise different developments in optimal control in the 1950s and 1960s, followed by advancement in stochastic, robust, optimal and adaptive control methods in the 1970s and the 1980s.
The Theory of Consistent Approximations[19]provides conditions under which solutions to a series of increasingly accurate discretized optimal control problem converge to the solution of the original, continuous-time problem.
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, predict what is likely to happen next, and adjust the dampers in just two milliseconds.
Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved. A control problem includes a cost functional that is a function of state and control variables.
Counting carbohydrates is amethod used to manage carbohydrate consumption for optimal control of blood sugar concentration, especially after meals and for pre-meal insulin dosing.
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.
This“credit assignment” problemis a well-known challenge when learning optimal control algorithms, and machine learning techniques(e.g., recent advances in reinforcement learning) have great potential to tackle these issues.