National Repository of Grey Literature 10 records found  Search took 0.01 seconds. 
Examples of governings with predictive controls
Šalda, Zbyněk ; Švarc, Ivan (referee) ; Němec, Zdeněk (advisor)
This thesis deals with model predictive control principally Based Predictive Control (MPC). The first part describes the principle of predictive control, cost function, the choice of a constraints in regulation and the choice of weights. In the next section is an analysis system: a system with non-minimal phase (control water turbine), oscillating systems (trolley frame control) and system with a time-delay . In all of these systems is performed classical feedback control using PID control and concurrently regulation with the MPC. MPC is selected as the solution fy Mathworks Model Predictive Control Toolbox and Simulink. The results are then analyzed using the criteria of quality control.
Solution of Continuous Systems by Evolutionary Computational Techniques
Lang, Stanislav ; Šeda, Miloš (referee) ; Olehla, Miroslav (referee) ; Matoušek, Radomil (advisor)
The thesis deals the issue of solution of continuous systems by evolutionary computational techniques. Evolutionary computing techniques fall into the field of softcomputing, an advanced metaheuristics optimization that is becoming more and more a method of solving complicated optimization problems with the gradual increase in computing performance of computers. The solution of continuous systems, or the synthesis of continuous control circuits, is one of the areas where these advanced algorithms find their application. When dealing with continuous systems we will focus on regulatory issues. Evolutionary computing can then become a tool not only for optimization of controller parameters but also to design its structure. Various algorithms (genetic algorithm, differential evolution, etc.) can be used to optimize the parameters of the controller, for the design of the controller structurewe usually encounter so called grammatical evolution. However, the use of grammatical evolution is not necessary if appropriate coding is used, as suggested in the presented thesis. The thesis presents a method of designing the structure and parameters of a general linear controller using the genetic algorithm. A general linear regulator is known also as so called polynomial controller, if we encounter the polynomial theory of control. The method of encoding the description of the general linear controller into the genetic chain is crucial, it determines a set of algorithms that are usable for optimization and influence the efficiency of the calculations. Described coding, effective EVT implementation, including multi-criteria optimization, is a key benefit of this work.
Estimator in control systems with variable structure
Dvořáček, Martin ; Mikšánek, Vojtěch (referee) ; Pivoňka, Petr (advisor)
The thesis write about the linear discrete time incremental estimators. These are used for the choice of the best control system in systems with variable structure and further for direct control with status controller. There is an application of this on physical plane. In this paper PID variation controllers are discussed and optimized using Nelder-Mead Simplex Method. Feedback control with optimal PID is compared with control using linear discrete incremental estimators and status regulator.
Integral quality criteria of regulation
Gruna, Jiří ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
This bachelor’s thesis deals with the assessment of the quality of regulation using integral criteria. In the first part we are interested in the basic theory of regulation needed to understand the problem. It includes a description of the control system, differential equations in the theory of transfer function, types of regulators and addresses the question of stability. In the second part the thesis introduces the integral criteria. Using their area, we assess the quality of regulation. For clarity, the criteria are supplemented by examples to show their advantages and disadvantages.
Integral quality criteria of regulation
Gruna, Jiří ; Cejpek, Zdeněk (referee) ; Dosoudilová, Monika (advisor)
This bachelor’s thesis deals with the assessment of the quality of regulation using integral criteria. In the first part we are interested in the basic theory of regulation needed to understand the problem. It includes a description of the control system, differential equations in the theory of transfer function, types of regulators and addresses the question of stability. In the second part the thesis introduces the integral criteria. Using their area, we assess the quality of regulation. For clarity, the criteria are supplemented by examples to show their advantages and disadvantages.
Determination of firm boundaries: Influence of regulations and rule of law on firm size
Dočkal, Ondřej ; Cahlík, Tomáš (advisor) ; Schwarz, Jiří (referee)
Study of determinants of firm size is important for policy making and economic theory, because much of economic growth takes place within firms and firms are prevailing form of organisation of production units in modern economies. Theory o↵ers contradictory views on e↵ect of quality of regulations and rule of law on firm size. Better regulatory quality in the environment of post-soviet countries enables firms to become larger. In the case of rule of law, the relationship seems to be rather fragile and of a more complex nature with ambiguous e↵ects, hence the matter re- mains subject of future research. Regulatory quality and rule of law explain only very little part of variations in growth rates of firms. Keywords: firm size determination, quality of regulations, rule of law, industrial organisation Character count: 73 717 Abstrakt Studium determinantů velikosti firem je důležité pro vytváření politik i ekonomickou teorii, protože velká část ekonomického růstu je způsobena růstem existujících firem a firmy jsou převažující formou organizace produkčních jednotek v moderních eko- nomikách. Teorie přináší protichůdné pohledy na vliv kvality regulace a právního státu na velikost firem. V prostředí postsovětských zemí je růst kvality regulace spojený s růstem velikosti...
Solution of Continuous Systems by Evolutionary Computational Techniques
Lang, Stanislav ; Šeda, Miloš (referee) ; Olehla, Miroslav (referee) ; Matoušek, Radomil (advisor)
The thesis deals the issue of solution of continuous systems by evolutionary computational techniques. Evolutionary computing techniques fall into the field of softcomputing, an advanced metaheuristics optimization that is becoming more and more a method of solving complicated optimization problems with the gradual increase in computing performance of computers. The solution of continuous systems, or the synthesis of continuous control circuits, is one of the areas where these advanced algorithms find their application. When dealing with continuous systems we will focus on regulatory issues. Evolutionary computing can then become a tool not only for optimization of controller parameters but also to design its structure. Various algorithms (genetic algorithm, differential evolution, etc.) can be used to optimize the parameters of the controller, for the design of the controller structurewe usually encounter so called grammatical evolution. However, the use of grammatical evolution is not necessary if appropriate coding is used, as suggested in the presented thesis. The thesis presents a method of designing the structure and parameters of a general linear controller using the genetic algorithm. A general linear regulator is known also as so called polynomial controller, if we encounter the polynomial theory of control. The method of encoding the description of the general linear controller into the genetic chain is crucial, it determines a set of algorithms that are usable for optimization and influence the efficiency of the calculations. Described coding, effective EVT implementation, including multi-criteria optimization, is a key benefit of this work.
Determination of firm boundaries: Influence of regulations and rule of law on firm size
Dočkal, Ondřej ; Cahlík, Tomáš (advisor) ; Schwarz, Jiří (referee)
Study of determinants of firm size is important for policy making and economic theory, because much of economic growth takes place within firms and firms are prevailing form of organisation of production units in modern economies. Theory o↵ers contradictory views on e↵ect of quality of regulations and rule of law on firm size. Better regulatory quality in the environment of post-soviet countries enables firms to become larger. In the case of rule of law, the relationship seems to be rather fragile and of a more complex nature with ambiguous e↵ects, hence the matter re- mains subject of future research. Regulatory quality and rule of law explain only very little part of variations in growth rates of firms. Keywords: firm size determination, quality of regulations, rule of law, industrial organisation Character count: 73 717 Abstrakt Studium determinantů velikosti firem je důležité pro vytváření politik i ekonomickou teorii, protože velká část ekonomického růstu je způsobena růstem existujících firem a firmy jsou převažující formou organizace produkčních jednotek v moderních eko- nomikách. Teorie přináší protichůdné pohledy na vliv kvality regulace a právního státu na velikost firem. V prostředí postsovětských zemí je růst kvality regulace spojený s růstem velikosti...
Examples of governings with predictive controls
Šalda, Zbyněk ; Švarc, Ivan (referee) ; Němec, Zdeněk (advisor)
This thesis deals with model predictive control principally Based Predictive Control (MPC). The first part describes the principle of predictive control, cost function, the choice of a constraints in regulation and the choice of weights. In the next section is an analysis system: a system with non-minimal phase (control water turbine), oscillating systems (trolley frame control) and system with a time-delay . In all of these systems is performed classical feedback control using PID control and concurrently regulation with the MPC. MPC is selected as the solution fy Mathworks Model Predictive Control Toolbox and Simulink. The results are then analyzed using the criteria of quality control.
Estimator in control systems with variable structure
Dvořáček, Martin ; Mikšánek, Vojtěch (referee) ; Pivoňka, Petr (advisor)
The thesis write about the linear discrete time incremental estimators. These are used for the choice of the best control system in systems with variable structure and further for direct control with status controller. There is an application of this on physical plane. In this paper PID variation controllers are discussed and optimized using Nelder-Mead Simplex Method. Feedback control with optimal PID is compared with control using linear discrete incremental estimators and status regulator.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.