Abstract
In modern industry a real-time Ethernet-based control systems are typically used instead of a centralized solution. This is due to the economical reason and to allow easy expansion and modernization of the machines. The distributed architecture enables i.a. the use of hardware emulators instead of the real control object, in a manner transparent to the whole system. This is an advantage because it can be useful for the development of the control system. It will make that cheap and safe testing of complex control systems will be available. The testing process might be performed in a working control system in which part of it (e.g. a control object) has been temporarily replaced by an emulator. However, emulators typically need an increased performance of the real-time communication interface to transfer a large amounts of the service data. In this paper we propose a new method to create high performance real-time, Ethernet-based communication solution which will be suitable for the most demanding applications, for example for the development process and connection with hardware emulators.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Andre, R.: Real-Time Ethernet. Is Ethernet real time and what to do to ensure timeliness for Ethernet?, Technische Universitat Chemnitz, Seminar transportation Systems, pp. 1–21 (2009)
Bartczuk, Ł., Dziwiński, P., Starczewski, J.: A new method for dealing with unbalanced linguistic term set. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS (LNAI), vol. 7267, pp. 207–212. Springer, Heidelberg (2012)
Bartczuk, Ł., Dziwiński, P., Starczewski, J.T.: New Method for Generation Type-2 Fuzzy Partition for FDT. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part I. LNCS (LNAI), vol. 6113, pp. 275–280. Springer, Heidelberg (2010)
Bartczuk, Ł., Przybył, A., Dziwiński, P.: Hybrid state variables - fuzzy logic modelling of nonlinear objects. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS (LNAI), vol. 7894, pp. 227–234. Springer, Heidelberg (2013)
Bartczuk, Ł., Rutkowska, D.: A New Version of the Fuzzy-ID3 Algorithm. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 1060–1070. Springer, Heidelberg (2006)
Bartczuk, Ł., Rutkowska, D.: Medical Diagnosis with Type-2 Fuzzy Decision Trees. In: Kącki, E., Rudnicki, M., Stempczyńska, J. (eds.) Computers in Medical Activity. AISC, vol. 65, pp. 11–21. Springer, Heidelberg (2009)
Beran, J., Zezulka, F.: Evaluation of Real-Time Behaviour in Virtual Automation Networks. In: Proceedings of the 17th World Congress the International Federation of Automatic Control, pp. 13970–13975 (2008)
Bilski, J., Litwiński, S., Smoląg, J.: Parallel Realization of QR Algorithm for Neural Networks Learning. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds.) ICAISC 2004. LNCS (LNAI), vol. 3070, pp. 158–165. Springer, Heidelberg (2004)
Bilski, J., Rutkowski, L.: Numerically Robust Learning Algorithms for Feed Forward Neural Networks. In: Neural Networks and Soft Computing. Advances in Soft Computing, pp. 149–154. Physica-Verlag, A Springer-Verlag Company (2003)
Bilski, J., Smoląg, J.: Parallel Approach to Learning of the Recurrent Jordan Neural Network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS (LNAI), vol. 7894, pp. 32–40. Springer, Heidelberg (2013)
Bilski, J., Smoląg, J.: Parallel Realisation of the Recurrent Elman Neural Network Learning. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol. 6114, pp. 19–25. Springer, Heidelberg (2010)
Bilski, J., Smoląg, J.: Parallel Realisation of the Recurrent Multi Layer Perceptron Learning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part I. LNCS (LNAI), vol. 7267, pp. 12–20. Springer, Heidelberg (2012)
Bilski, J., Smoląg, J.: Parallel Realisation of the Recurrent RTRN Neural Network Learning. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 11–16. Springer, Heidelberg (2008)
Cpałka, K.: A Method for Designing Flexible Neuro-fuzzy Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 212–219. Springer, Heidelberg (2006)
Cpałka, K.: On evolutionary designing and learning of flexible neuro-fuzzy structures for nonlinear classification. In: Nonlinear Analysis Series A: Theory, Methods and Applications, vol. 71, pp. 1659–1672. Elsevier (2009)
Cpałka, K., Łapa, K., Przybył, A., Zalasiński, M.: A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. Neurocomputing (in print, 2014), http://dx.doi.org/10.1016/j.neucom.2013.12.031
Cpałka K., Rutkowski L, A New Method for Designing and Reduction of Neuro-fuzzy Systems. In: Proceedings of the 2006 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence, WCCI 2006), Vancouver, BC, Canada, pp. 8510–8516 (2006)
Cpałka, K., Rutkowski, L.: Flexible Takagi-Sugeno Fuzzy Systems. In: Proceedings of the International Joint Conference on Neural Networks 2005, Montreal, pp. 1764–1769 (2005)
Cpałka, K., Rutkowski, L.: Flexible Takagi Sugeno Neuro-fuzzy Structures for Nonlinear Approximation. WSEAS Transactions on Systems 4(9), 1450–1458 (2005)
Decotignie, J.D.: Ethernet-Based Real-Time and Industrial Communications. Proceedings of the IEEE 93(6), 1102–1117 (2005)
Dziwiński, P., Bartczuk, Ł., Starczewski, J.T.: Fully controllable ant colony system for text data clustering. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) EC 2012 and SIDE 2012. LNCS, vol. 7269, pp. 199–205. Springer, Heidelberg (2012)
Dziwiński, P., Rutkowska, D.: Algorithm for generating fuzzy rules for WWW document classification. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds.) ICAISC 2006. LNCS (LNAI), vol. 4029, pp. 1111–1119. Springer, Heidelberg (2006)
Dziwiński, P., Rutkowska, D.: Ant focused crawling algorithm. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 1018–1028. Springer, Heidelberg (2008)
Dziwiński, P., Starczewski, J.T., Bartczuk, Ł.: New linguistic hedges in construction of interval type-2 FLS. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol. 6114, pp. 445–450. Springer, Heidelberg (2010)
Fan, X., Jonsson, M., Jonsson, J.: Guaranteed real-time communication in packet-switched networks with FCFS queuing. Computer Networks 53, 400–417 (2009)
Felser, M.: Real Time Ethernet: standardization and implementations. In: IEEE International Symposium on Industrial Electronics (ISIE 2010), Invited paper (2010)
Gabryel, M., Cpałka, K., Rutkowski, L.: Evolutionary strategies for learning of neuro-fuzzy systems. In: Proceedings of the I Workshop on Genetic Fuzzy Systems, Granada, pp. 119–123 (2005)
Gabryel, M., Korytkowski, M., Scherer, R., Rutkowski, L.: Object Detection by Simple Fuzzy Classifiers Generated by Boosting. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS (LNAI), vol. 7894, pp. 540–547. Springer, Heidelberg (2013)
Gabryel, M., Woźniak, M., Nowicki, R.K.: Creating Learning Sets for Control Systems Using an Evolutionary Method. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) SIDE 2012 and EC 2012. LNCS, vol. 7269, pp. 206–213. Springer, Heidelberg (2012)
Horzyk, A., Tadeusiewicz, R.: Self-Optimizing Neural Networks. In: Yin, F.-L., Wang, J., Guo, C. (eds.) ISNN 2004. LNCS, vol. 3173, pp. 150–155. Springer, Heidelberg (2004)
Jansen, D., Buttner, H.: Real-Time Ethernet the EtherCAT solution. Computing & Control Engineering Journal 15, 16–21 (2004)
Jasperneite, J., Imtiaz, J., Schumacher, M., Weber, K.: A Proposal for a Generic Real-Time Ethernet System. IEEE Transactions on Industrial Informatics 5(2), 75–85 (2009)
Jasperneite, J., Schumacher, M., Weber, K.: Limits of Increasing the Performance of Industrial Ethernet Protocols. In: IEEE Conference on Emerging Technologies and Factory Automation, ETFA, pp. 17–24 (2007)
Kandemir, M., Choudhary, A., Banerjee, P., Ramanujam, J., Shenoy, N.: Minimizing data and synchronization costs in one-way communication. IEEE Transactions on Parallel and Distributed Systems 11(12), 1232–1251 (2000)
Korytkowski, M., Rutkowski, L., Scherer, R.: On combining backpropagation with boosting. In: Proceedings of the IEEE International Joint Conference on Neural Network (IJCNN), vols. 1-10, pp. 1274–1277 (2006)
Korytkowski, M., Rutkowski, L., Scherer, R.: From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2008. LNCS (LNAI), vol. 5097, pp. 265–272. Springer, Heidelberg (2008)
Łapa, K., Przybył, A., Cpałka, K.: A new approach to designing interpretable models of dynamic systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS (LNAI), vol. 7895, pp. 523–534. Springer, Heidelberg (2013)
Łapa, K., Zalasiński, M., Cpałka, K.: A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS (LNAI), vol. 7894, pp. 329–344. Springer, Heidelberg (2013)
Mifdaoui, A., Frances, F., Fraboul, C.: Performance analysis of a Master/Slave switched Ethernet for military embedded applications. IEEE Transactions on Industrial Informatics 6(4), 534–547 (2010)
Moraes, R.: Survey of Real-Time Communication in CSMA-Based Networks. Network Protocols and Algorithms 2(1), 158–183 (2010)
Murphy, P.A.: The Next Generation Networking Paradigm: Producer-Consumer Model. In: Dedicated Systems Magazine. Networks. 2000-Q1, pp. 26–28 (2000)
Neumann, P.: Communication in industrial automation - What is going on? Control Engineering Practice 15, 1332–1347 (2007)
Neumann, P., Pöschmann, A.: Ethernet-based Real-Time Communications with PROFINET IO. WSEAS Transactions on Communications 5(5), 235–245 (2005)
Neumann, P., Pöschmann, A., Messerschmidt, R.: Architectural Concept of Virtual Automation Networks. In: Proceedings of the 17th World Congress The International Federation of Automatic Control, pp. 13964–13969 (2008)
Pedreiras, P., Leite, R., Almeida, L.: Characterizing the Real-Time Behavior of Prioritized Switched-Ethernet. In: RTLIA 2003, 2nd Workshop on RealTime LANs in the Internet Age (Satellite of ECRTS 2003), Porto, Portugal, pp. 59–62 (2003)
Profinet IRT, Profinet Industrial Ethernet protocol, PI organization, http://www.profibus.com
Przybył, A., Cpałka, K.: A new method to construct of interpretable models of dynamic systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS, vol. 7268, pp. 697–705. Springer, Heidelberg (2012)
Pławiak, P., Tadeusiewicz, R.: Approximation of phenol concentration using novel hybrid computational intelligence methods. Applied Mathematics and Computer Science 24(1) (in print, 2014)
Robert, J., Georges, J.P., Rondeau, E., Divoux, T.: Minimum Cycle Time Analysis of Ethernet-Based Real-Time Protocols. International Journal of Computers, Communications and Control 7(4), 743–757 (2012)
Rostan, M.: Industrial Ethernet technologies: Overiew. EtherCAT Technology Group, pp. 1–114 (January 2011)
Rutkowski, L., Cpałka, K.: Compromise approach to neuro-fuzzy systems. In: Sincak, P., Vascak, J., Kvasnicka, V., Pospichal, J. (eds.) Intelligent Technologies - Theory and Applications, vol. 76, pp. 85–90. IOS Press (2002)
Rutkowski, L., Cpałka, K.: Flexible weighted neuro-fuzzy systems. In: Proceedings of the 9th International Conference on Neural Information Processing (ICONIP 2002), Orchid Country Club, Singapore, CD, November 18-22 (2002)
Rutkowski, L., Cpałka, K.: Neuro-fuzzy systems derived from quasi-triangular norms. In: Proceedings of the IEEE International Conference on Fuzzy Systems, Budapest, July 26-29, vol. 2, pp. 1031–1036 (2004)
Rutkowski, L., Przybył, A., Cpałka, K.: Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation. IEEE Transactions on Industrial Electronics 59, 1238–1247 (2012)
Rutkowski, L., Przybył, A., Cpałka, K., Er, M.J.: Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2010, Part II. LNCS (LNAI), vol. 6114, pp. 645–650. Springer, Heidelberg (2010)
Szaleniec, M., Goclon, J., Witko, M., Tadeusiewicz, R.: Application of artificial neural networks and DFT-based parameters for prediction of reaction kinetics of ethylbenzene dehydrogenase. Journal of Computer-Aided Molecular Design 20(3), 145–157 (2006)
The VARAN Bus, the Real-Time Ethernet Bus System, VARAN-BUS-USER-ORGANISATION, http://www.varan-bus.net
Vitturi, S., Peretti, L., Seno, L., Zigliotto, M., Zunino, C.: Real-time Ethernet networks for motion control. Computer Standards & Interfaces 33(5), 465–476 (2011)
Zalasiński, M., Cpałka, K.: A new method of on-line signature verification using a flexible fuzzy one-class classifier, pp. 38–53. Academic Publishing House EXIT (2011)
Zalasiński, M., Cpałka, K.: Novel algorithm for the on-line signature verification. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2012, Part II. LNCS (LNAI), vol. 7268, pp. 362–367. Springer, Heidelberg (2012)
Zhang, X.L., Tang, X.Q., Chen, J.H., Zhou, H.C., Wu, T.: Hierarchical real-time networked CNC system based on the transparent model of industrial Ethernet. International Journal on Advanced Manufacturing Technology 34, 161–167 (2007)
Zalasiński, M., Łapa, K., Cpałka, K.: New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS (LNAI), vol. 7895, pp. 113–121. Springer, Heidelberg (2013)
Zalasiński, M., Cpałka, K.: New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part II. LNCS (LNAI), vol. 7895, pp. 342–350. Springer, Heidelberg (2013)
Zalasiński, M., Cpałka, K.: Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds.) ICAISC 2013, Part I. LNCS (LNAI), vol. 7894, pp. 493–502. Springer, Heidelberg (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Przybył, A., Er, M.J. (2014). The Idea for the Integration of Neuro-Fuzzy Hardware Emulators with Real-Time Network. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_25
Download citation
DOI: https://doi.org/10.1007/978-3-319-07173-2_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07172-5
Online ISBN: 978-3-319-07173-2
eBook Packages: Computer ScienceComputer Science (R0)