{"title":"Artificial neural network for adaptive PID controller","authors":"František Kudlačák, T. Krajcovic","doi":"10.1109/CYBERI.2018.8337564","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337564","url":null,"abstract":"In this paper is presented state of the art in field of adaptive Proportional-Integral-Derivative controller and a back propagation artificial neural network. There is need for adaptive PID controller in systems with the dynamic processes. Proposed adaptive tuning method contains an artificial neural network and a control logic. This paper is dedicated to design of artificial neural network, which is used in adaptive PID controller. The artificial neural network allows dynamic changes of the parameters for the PID controller.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"35 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78079017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Highly nonlinear process model using optimal artificial neural network","authors":"Peter Karas, S. Kozák","doi":"10.1109/CYBERI.2018.8337548","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337548","url":null,"abstract":"The paper deal with modeling of highly nonlinear chemical process using the artificial neural network approach. The non-linear process is represented by polymerization plant. The data set used for an identification of the artificial neural network model is a real input and output data received from an existing polypropylene plant. The identified model is a nonlinear auto regressive neural network with the exogenous input. Performance of a trained network has been verified using the real process data and the ability of the production rate prediction is shown in the case study section. The obtained artificial neural network model is used for predictive control of the polypropylene reactor.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"69 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81349162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research and education for industry 4.0: Present development","authors":"S. Kozák, E. Ruzický, J. Stefanovic, F. Schindler","doi":"10.1109/CYBERI.2018.8337556","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337556","url":null,"abstract":"Over the past fourty years there has been an unprecedented development in digital information, communication and intelligent technologies and systems that has significantly influenced quality of life on our planet. European and worldwide innovation trends in complex computerization and digitization of manufacturing processes and process activities are now leading to the need for research, education, development and implementation of system solutions based on new intelligent modelling and control methods for optimizing, managing and diagnosing complex manufacturing industrial plants. In recent years Industry 4.0 has been driving force and heart of industry; based on it and analysis of the existing state of industry it is necessary to launch new research activities to prepare new multi-disciplinary professionals and university graduates. The paper presents state-of-the-art in research and education, and further development of control and decision methods, control structures, information a communication technology and their applications in diverse industrial processes with a focus on trends and challenges declared in Industry 4.0.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"13 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90337854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Virtual and remote laboratory for hydraulic plant control","authors":"Romana Čápková, P. Bisták, A. Kozáková","doi":"10.1109/CYBERI.2018.8337553","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337553","url":null,"abstract":"The paper deals with control principles and controller design of a nonlinear hydraulic plant, as well as development of new methods of its control. The designed control is implemented through a graphical user interface developed in Matlab/Simulink; the application can run either locally (as a simulation) or over Internet as a virtual or remote laboratory (with a real experiment). The hydraulic plant can be configured as a one-or a two-tank system, and the selected configuration is controlled using either feedback or feedforward-feedback control.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86973138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measuring and diagnostic system of transformers","authors":"M. Gutten, D. Korenčiak, Róbert Zahoranský","doi":"10.1109/CYBERI.2018.8337563","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337563","url":null,"abstract":"This article is focused about analysis of mechanical and insulating state of repaired distribution transformers by means of diagnostic system of transformers (DST). Transformer manufacturers use the system at the quality check of their products, repair companies for repairing adventurousness evaluation and further for transformer new parameters measurement after the repair. If DST is included in the entrance firm control, it is possible by means of it to verify the parameters given in the transcript of the new transformer measurement supplied by its manufacturer.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"21 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74745118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trends in industrial communication and OPC UA","authors":"P. Drahoš, Erik Kučera, Oto Haffner, Ivan Klimo","doi":"10.1109/CYBERI.2018.8337560","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337560","url":null,"abstract":"The paper deals with trends in industrial communication and with the question how to integrate existing communication and information technologies into automation. What new solutions OPC UA offers to today's modern industry? And how to capture the complex issue of Industry 4.0 in education? Answers to these questions are very important today.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"11 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88668950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MPC controller as a service in IoT architecture","authors":"S. Kozák, Anton Pytel","doi":"10.1109/CYBERI.2018.8337550","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337550","url":null,"abstract":"These days a term Internet of Things (IoT) is often mentioned in commercial and academic sphere so it can sometimes sound as a buzzword. Nevertheless the IoT idea moving the world further in terms of almost unlimited connectivity of fog components, meaning sensors, actuators, gateways, with cloud components meaning high cpu power and memory capacity computers in data centers with all kind of software services connectable, that can add value to data coming from fog to cloud and from cloud to fog. By this approach of connecting fog with cloud it is possible to do cpu and memory power demanding operation in cloud and so sophistically affecting actuators in the field. This papers is inspired by the IoT architecture and proposes an idea of Controller as a Service approach in automation. MPC online method was chosen as demanding controller and is exposed as a service for use of everyone or better every internet thing. The complicated computation is done in the cloud, only communication with cloud is needed in fog area.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88876257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Two approaches to the adaptive cruise control (ACC) design","authors":"S. Chamraz, R. Balogh","doi":"10.1109/CYBERI.2018.8337542","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337542","url":null,"abstract":"The cruise control system is usually implemented as a PI or PID controllers. In this paper we will show the modification of the structure and parameters of the controller depending on the requirements of the cruise control system. Different controller structure is required for a step changes of speed and another one for a linearly varying speed. The structure of the controller is more complicated for the adaptive system responding to the velocity changes of the target vehicle in the front of the host vehicle. Then the control system has to measure also the distance as a disturbance value to calculate the speed of the target vehicle.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"47 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86025224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extending spectrum of filtered controllers for IPDT plant models","authors":"M. Huba","doi":"10.1109/CYBERI.2018.8337552","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337552","url":null,"abstract":"The paper deals with a comparison of several modifications of the proportional-integrative controllers for plants approximated by the integral-plus-dead-time (IPDT) models. It is shown that by including a derivative, or a second-order derivative action combined with higher order binomial filters it is possible to significantly reduce the measurement noise impact and, at the same time, to speed up the transients. Thereby, the filter design and the overall controller tuning derived by the multiple real dominant pole method remain simple enough to be attractive for the industrial practice.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75272122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of inverted pendulum stabilization with PID, LQ, and MPC control","authors":"Peter Bakaráč, Martin Klauco, M. Fikar","doi":"10.1109/CYBERI.2018.8337540","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337540","url":null,"abstract":"This paper covers mathematical modeling of the inverted pendulum process and design of three types of controllers: PI, linear-quadratic (LQR), and model predictive controller (MPC). Since the dynamics of the inverted pendulum process is in range of milliseconds, the explicit version of MPC is applied. All three controllers are implemented and experimentally tested on a laboratory scale of the inverted pendulum device.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"111 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73979647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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