Session

Mechatronics, Sciences in Energy Efficiency Engineering, System Engineering and Robotics

Description

The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discussed

Keywords:

Modelling, Complex dynamic systems, Fuzzy logic, Intelligent Systems, Fuzzy Cognitive Maps

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-51-6

First Page

67

Last Page

73

Location

Durres, Albania

Start Date

28-10-2016 9:00 AM

End Date

30-10-2016 5:00 PM

DOI

10.33107/ubt-ic.2016.47

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Oct 28th, 9:00 AM Oct 30th, 5:00 PM

Why Modeling Complex Dynamic Systems using Fuzzy Cognitive Maps?

Durres, Albania

The difficult problem of modeling Complex Dynamic Systems (CDS) is carefully reviewed. Main characteristics of CDS are considered and analyzed. Today’s mathematical models and approaches cannot provide satisfactory answers to the challenging problems of the society. The key problem of complex dynamic systems and control theory consists in the development of methods of qualitative analysis of the dynamics and behavior of such systems and in the construction of efficient control algorithms for their efficient operation. The purpose of control to bring the system to a point of its phase space which corresponds to maximal or minimal value of the chosen efficiency criterion is reviewed and analyzed. The reasons for using Fuzzy Cognitive Maps (FCMs) in modeling Complex dynamic Systems are provided. The basics of FCMs are briefly presented. An illustrative example is considered and interesting results are presented and discussed