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Takagi-Sugeno Type Fuzzy Automaton Model
International Conference on Fuzzy Systems, 2009Tracking the status of an event-driven, large control system is a difficult problem. Those systems often encounter unexpected events in an uncertain environment. Using a fuzzy automaton offers an effective approximation method to model continuous and discrete signals in a single theoretical framework.
Janos L. Grantner, George A. Fodor
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2010
In this chapter we first introduce the continuous-time Takagi-Sugeno (TS) fuzzy systems that are employed throughout the book. In the second part of the chapter, we present methods to construct TS models that represent or approximate a nonlinear dynamic system starting from a given model of this system.
Zsófia Lendek +3 more
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In this chapter we first introduce the continuous-time Takagi-Sugeno (TS) fuzzy systems that are employed throughout the book. In the second part of the chapter, we present methods to construct TS models that represent or approximate a nonlinear dynamic system starting from a given model of this system.
Zsófia Lendek +3 more
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A generalization of Sugeno integrals
NAFIPS/IFIS/NASA '94. Proceedings of the First International Joint Conference of The North American Fuzzy Information Processing Society Biannual Conference. The Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Wo, 2002In this paper, we generalize the definition of Sugeno integrals by utilizing the so-called median operations, which are a special kind of aggregation operations. The generalized integrals, which we call median integrals, possess almost all common properties of Sugeno integrals.
B. Yuan, G.J. Klir
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Stability of 2D Discrete Takagi–Sugeno Systems
Circuits, Systems, and Signal Processing, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ghamgui, Mariem +3 more
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Flexible takagi-sugeno fuzzy systems
Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005., 2006In the paper, a new class of Takagi-Sugeno fuzzy systems is derived. Various parameters and weights are incorporated into construction of such systems. The approach presented in the paper introduces more flexibility to the structure and design of neuro-fuzzy systems.
K. Cpalka, L. Rutkowski
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An extension of Sugeno integral
Fuzzy Sets and Systems, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Congxin, Traore, Mamadou
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Switching Takagi-Sugeno Systems
2012The objective of this chapter is to study discrete-time switching nonlinear systems . Each subsystem is written as an equivalent T-S fuzzy models. Since the introduction of T-S fuzzy models by Takagi and Sugeno [147] in 1985, fuzzy model control has been extensively studied because T-S fuzzy models provide an effective representation of complex ...
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ON FUZZINESS MEASURES VIA SUGENO'S INTEGRAL
1995We introduce a notion of partial order for fuzzy sets in connection with their greater or smaller fuzziness. This allows us to give a simple basis to theory of fuzziness measures. Sugeno's integral permits to built very large classes of fuzziness measures.
P. BENVENUTI, VIVONA, Doretta, M. DIVARI
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2012
The Takagi-Sugeno systems (for short, to be denoted TS) are one of the most common fuzzy models. In such systems consequents are functions of inputs. This chapter shows a modification of such models as members of an classifier ensemble. The problem of incapability of merging several rule bases is addressed by a novel design of fuzzy systems ...
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The Takagi-Sugeno systems (for short, to be denoted TS) are one of the most common fuzzy models. In such systems consequents are functions of inputs. This chapter shows a modification of such models as members of an classifier ensemble. The problem of incapability of merging several rule bases is addressed by a novel design of fuzzy systems ...
openaire +1 more source