Abstract
A new approach for design and self-organization of complex hierarchical control systems is proposed. Using the constructive abilities of the Generalized Nets (GNs), a situation-based control is accepted in order to integrate business, operational and control functions. The main alternation is paid in organization and coordination of a big number of structured parallel procedures aiming choice of optimal, or at least rational, control strategy, current structure, algorithms and tuning parameters for each possible real life situation, covering the full range of technological, business environmental and safety conditions and requirements.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Atanassov, K.: Generalized Nets. World Scientific, Singapore (1991)
Atanassov, K.: On Generalized Nets Theory, “Prof. M. Drinov”. Academic Publishing House, Sofia (2007)
Castillo, O., Melin, P., Kasprzyk, J. (eds.): Recent Advantages on Hybrid Intelligent Systems. Springer, Berlin (2013)
Graña Romay, M., Corchado, E., Garcia Sebastian, M.T. (eds.): HAIS 2010, Part I. LNCS, vol. 6076. Springer, Heidelberg (2010)
Negnevitski, M.: A Guide to Intelligent Systems. Addison Wesley (2005)
Ruan, D. (ed.): Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks and Genetic Algorithms. Springer, London (2012)
Abraham, A.: Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers. In: Gabrys, B., Leiviskä, K., Strackeljan, J. (eds.) Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers. STUDFUZZ, vol. 173, pp. 159–179. Springer, Heidelberg (2005)
Reyes, N., Barczak, A., Susnjak, T.: A reconfigurable Hybrid Intelligent System for Robot Navigation. Res. Let. Inst. Math. Sci. 25, 21–34 (2011)
Man, X., Haigan, Y., Jiang, S.: New Algorithm for CBR - RBR Fusion with Robust Threshold. Chinese Journal of Mechanical Engineering 25(6), 1255–1263 (2012)
Prentzas, J., Hatzilygeroudis, I.: Categorizing Approaches Combining Rule-Based and Case-Based Reasoning. Expert Systems 24(2), 97–122 (2007)
Gao, J., Deng, G.: Semi-Automatic Construction of Ontology – Based CBR Systems for Knowledge Integration. Int. Journal of Electrical and Electronics Engineering 4(4), 620–626 (2010)
Bemporad, A., Morari, M.: Control of Systems, Integrating Logic, Dynamics and Constraints. Automatica 35(3), 407–427 (1999)
Jain, L.C., Martin, N.M.: Fusion of Neural Networks, Fuzzy Sets and genetic Algorithms: Industrial Automations. CRC Press (1998)
Zhang, Z., Zhang, C.: Agent Based Hybrid Intelligent Systems. Springer (2008)
Hadjiski, M., Boishina, V.: Hybrid Supervisory Control of Complex Systems Incorporating Case Based Reasoning. In: Proc. of the Int. Conf. on Complex Systems, COSY 2011, Ohrid, Macedonia, pp. 179–186 (2011)
Hadjiski, M., Sgurev, V., Boishina, V.: Intelligent Control of Uncertain Complex Systems by Adaptation of Fuzzy Ontologies. In: Sgurev, V., Hadjiski, M., Kacprzyk, J. (eds.) Intelligent Systems: From Theory to Practice. SCI, vol. 299, pp. 19–40. Springer, Heidelberg (2009)
Hadjiski, M., Sgurev, V., Boishina, V.: Multi Agent Intelligent Control of Centralized HVAC Systems. In: Proc. of the IFAC Workshop on Energy Saving Control in Plants and Buildings, Bansko, Bulgaria, October 3-5, pp. 195–200 (2006)
Atanassov, K., Hadjiski, M.: Generalized Nets and Intelligent Systems. Int. Journal of General Systems 39(5), 457–470 (2010)
Hadjiski, M., Sgurev, V., Boishina, V.: Adaptation of Fuzzy Ontology for Cascade Multi-Agent System. In: Proc. of 4th Int. IEEE Conference on Intelligent Systems, Varna, pp. 6-59–6-64 (2008)
Hadjiski, M., Boishina, V.: Functions Selection and Distribution in Hybrid Computational-Agent-Ontology Control System Ontologies. In: Hadjiski, M., Petrov, V. (eds.) Ontologies-Philosophical and Technological Problems, pp. 95–111. “Prof. Marin Drinov” Academic Publishing House, Sofia (2008)
Vachtsevanos, G., Lewis, F., Roemer, M., Hess, A., Wu, B.: Intelligent Fault Diagnosis and Prognosis for Engineering Systems. John Wiley (2006)
Pal, S., Shin, S.: Foundation of Soft Case-Based Reasoning. John Wiley (2004)
Melo-Pinto, P., Atanassov, K.: A generalized net model of the system “object-environment”. In: Proc. of the 10th ISPE Int. Conf. on Concurrent Engineering “Advanced Design, Production and Management Systems”, Madeira, July 26-30, pp. 1053–1056 (2003)
Keviczky, L.: Design of experiments for the identification of linear dynamic systems. Technometrics 17(3), 303–308 (1975)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Hadjiski, M., Atanassov, K. (2015). Design and Multiaspect Functionality Realization of Hybrid Intelligent Control Systems via Generalized Nets. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-11310-4_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11309-8
Online ISBN: 978-3-319-11310-4
eBook Packages: EngineeringEngineering (R0)