Examples of 'predictive control' in a sentence

Meaning of "predictive control"

predictive control - an advanced control technique that uses mathematical models and algorithms to anticipate and adjust control actions in order to optimize system performance

How to use "predictive control" in a sentence

Basic
Advanced
predictive control
Digital twins and model predictive control.
Model predictive control technology to meet profitability goals.
This paper proposes a model predictive control scheme with.
Predictive control of hydro power stations.
Identification of causticizing and its control by model predictive control.
Heat loads and predictive control in heating of buildings.
Comparison of two interior point solvers in model predictive control optimization.
Applications of predictive control in power converters.
The present work presents some methods of solving nonlinear predictive control.
Predictive control of power converters and electrical drives.
We have therefore appreciated that a predictive control system is required.
Algorithm of predictive control of the movement of the electronic platform.
The team developed algorithms that enable predictive control of buildings or a district.
Model predictive control operates by mathematically minimizing a cost function.
The use of fault detection in model predictive control of a refinery process unit.

See also

Predictive control of a scara robot.
The above described model predictive control is used to achieve this objective.
Predictive control of heating and cooling in individual and networked buildings.
Demand response of space heating using model predictive control in an office building.
Predictive control methods are based on the model availability of the process to be controlled.
Finally a generator of walking by predictive control and coupled to a complete body controller is presented.
This work addresses the problem of trajectory planning in the context of predictive control.
An application of model predictive control logic to inertial sea wave energy converter.
This work deals with the problem of recursive feasibility recovery in model predictive control.
This work addressed predictive control studies for inventory control in supply chains.
The second approach is based on a suitable partial state model reference predictive control design.
Model predictive control has been identified as a good method for calender control.
European researchers addressed these challenges through the use of stochastic model predictive control.
Nonlinear predictive control was tested but presents problems for real time implementation.
This new environment requires advanced process control strategies and model predictive control technology.
The predictive control processes optimal control at angle and corner shape before machining.
A wind turbine having a control method and controller for performing predictive control of a wind turbine generator.
Linear predictive control with an observer gave better results than linear quadratic control.
This safety guarantee is combined with fall avoidance in a Model Predictive Control scheme.
See Model predictive control.
The digital processor executes a method for analyzing a model used for Model Predictive Control purposes.
Model predictive control for the Tennessee Eastman process.
Additionally, the basics of model predictive control are covered.
Robust model predictive control for cross-directional processes.
In process control, the superposition principle is used in model predictive control.
Multi-parameter predictive control of the aeration system.
Finally, we investigate the extension of our work to model predictive control.
Model predictive control method for an air-separation system.
In a particular embodiment, the device 1 comprises moreover a predictive control of airbrakes.
For this purpose, predictive control is a quite promising technique.
Another type of advanced process control is model-based predictive control.
For this, predictive control is fully effective to solve the tracking problem.
Then, actions are obtained by using model predictive control using the learned model.
Finally, a hybrid predictive control based on a discrete model of the system is synthesized.
The book also presents how wireless measurements may be utilized with model predictive control ( MPC ).

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