Abstract
Globalization leads us towards dealing with very complex systems that consist of evolving, overlapping, and interacting “socio-technical fabrics”. An existing general systems control theory cannot cope with problems occurring in such systems. This chapter is, first of all, an attempt to present an entirely new approach to the adequacy of system model and reality, based on a causal correspondence between information and knowledge obtained from a reality and its model. Secondly, the chapter suggests two possible control loops: one is meant to improve the model and another is the way to attain a certain planned goal to be reached by our reality. Four doctrines are presented as the basic principles of general fuzzy systems control theory (GFSCT) aiming to deal with the real fuzzy systems operating and functioning in a multiple space-time coordinate system. The minimization of a certain potential V-function is considered as a universal principle for existence of each system in the real world. Moreover, decentralized stochastic control is proposed to improve our reality and guarantee its lifetime unlimited behavior with a proper degree of certainty and space-time stability.
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Jasinevicius, R., Petrauskas, V. (2014). On Fundamentals of Global Systems Control Science (GSCS). In: Sanayei, A., Zelinka, I., Rössler, O. (eds) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45438-7_8
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