Examples of using Predictive control in English and their translations into Slovak
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Colloquial
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Programming
Predictive Control of Hybrid Systems.
Dynamic optimization, global optimization, predictive control.
Predictive control of processes with uncertainties.
It will focus on optimal and model predictive control.
Predictive control of autonomous mobile systems.
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Alexander Szucs: Algorithms for process modelling and fast model predictive control.
Dvoran: Predictive control of a chemical reactor(in Slovak).
Design of a software package for multiparametric optimisation and explicit predictive control.
Predictive control of distillation column in real time.
Involves static and dynamic, and global optimisation methods, predictive control as well as supervisory control. .
Predictive Control(Master study, 4th semester, seminar).
The mail aim of the project is to develop new methods in dynamic andglobal optimisation, predictive control, and supervisory control. .
Predictive control of processes with fast dynamics Project type.
Development of approaches for reliable robust model predictive control based on explicit model predictive control and by using linear matrix inequalities.
Predictive control of distillation column in real time Supervisor: Ing. Ján Drgoňa.
Development of methods of robust analysis, robust stabilization,robust control and predictive control of systems with uncertainties constitutes the core of the project.
Predictive control of a mobile autonomous system on a given trajectory with obstacles.
However, in order to realize its full potential, the model predictive control should deal reliably with nonlinear, often uncertainty affected, dynamic nature of industrial processes.
They then took advantage of the DeltaV system's embedded advanced process control(APC) capabilities by adding Emerson's SmartProcess™ Distillation Optimizer,which enables model predictive control for distillation columns.
Embedded linear predictive control for low-cost microcontrollers.
The aim of the proposed project is to establish cooperation between Slovak University of Technology in Bratislava and ShaghaiTech University in estimation of nonlinear dynamic systems and strengthen andintensify the previously established collaboration in the domain of robust model predictive control.
Optimal and predictive control as a tool for diagnostics, energy savings, increase of safety and effectivity of technological processes.
The topic of the theme is research anddevelopment of advanced embedded predictive control strategies with focus on energy savings, diagnostics, prevention and increasing safety of technological processes and technical systems.
Use of advanced predictive control strategies in energy savings, in the diagnostics, prevention and enhancing the safety of technological processes- solutions for embedded systems Prof. Ing.
It involves hybrid systems,dynamic and global optimisation methods, predictive control as well as supervisory control with particular stress on computational efficiency and realisability in industry.
Model predictive control is not yet standard in the industry but its growing presence in the industrial environment stands for a great example of penetration of advanced theoretical control methods into practice.
Development of methods of robust stabilization and robust predictive control of systems with uncertainties constitutes the core of the project and the goal is to assure more efficient energy saving control in comparison to classical approaches.
Development of model-based predictive control(MPC) and robust predictive control(RMPC) methods, which take into account boundaries on manipulated and controlled variables already in the design of control algorithms.
Theoretical aspects of the project will use techniques of optimal and predictive control as well as self-optimising control structures that make possible to control processes close to optimal regime without any computationally demanding online optimising strategies.