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Applied Computational Intelligence in Engineering and by Ladislav Hluchý, Marcel Kvassay (auth.), Radu-Emil Precup,

By Ladislav Hluchý, Marcel Kvassay (auth.), Radu-Emil Precup, Szilveszter Kovács, Stefan Preitl, Emil M. Petriu (eds.)

This ebook highlights the potential for getting merits from quite a few functions of computational intelligence strategies. the current ebook is dependent such that to incorporate a collection of chosen and prolonged papers from the 6th IEEE overseas Symposium on utilized Computational Intelligence and Informatics SACI 2011, held in Timisoara, Romania, from 19 to 21 could 2011. After a major paper assessment played via the Technical application Committee basically 116 submissions have been accredited, resulting in a paper recognition ratio of sixty five percent. an additional refinement was once made after the symposium, established additionally at the evaluate of the presentation caliber. Concluding, this publication contains the prolonged and revised models of some of the best papers of SACI 2011 and few invited papers authored via renowned experts. The readers will reap the benefits of studying the computational intelligence and on what difficulties could be solved in numerous components; they are going to research what sort of techniques is suggested to exploit which will resolve those difficulties. an important profit for the readers is an figuring out of what the most important problems are and the cost effective ideas to accommodate them. This publication will provide a handy access for researchers and engineers who intend to paintings within the vital fields of computational intelligence.

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Extra info for Applied Computational Intelligence in Engineering and Information Technology: Revised and Selected Papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics SACI 2011

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1): ~ H r ( s) = 1 . (1 + βTΣ s )(1 + sT f ) (16) A second version of filter can be used to compensate only the effect of the zero in (13); accordingly: Fr ( s) = 1 . f. and the closed-loop system has an oscillatory behavior only for β < 9 : 28 S. Preit et al. ~ H r ( s) = 1 (1 + β 1/ 2 TΣ s )[1 + ( β − β 1 / 2 )TΣ s + βTΣ s 2 ] . (18) 2 Similar types of filters are used in case of the 2p-SO-m, having β and m as parameter [5]. 5 Equivalency between 1-DOF (PID) and 2-DOF Controllers Let us consider the block diagram given in Fig.

We denote a1(γ)=min[A]γ, a2(γ)=max[A]γ. Hence [A]γ=[a1(γ),a2(γ)] for all γ∈[0,1]. A non-negative and monotone increasing function f: [0,1]→R is a weighting ∫ f (γ )dγ = 1 . 1 function if it satisfies the normality condition 0 We fix a fuzzy number A and a weighting function f. Assume that [A]γ=[a1(γ),a2(γ)] for all γ∈[0,1]. t. f was defined in [11] by E( f , A) = 1 1 (a (γ ) + a 2 (γ )) f (γ )dγ . t. f is defined by Var( f , A) = 1 1 [(a (γ ) − E( f , A)) 2 + (a 2 (γ ) − E( f , A)) 2 ] f (γ )dγ .

For example, Fig. 4 illustrates the Nyquist curves, the M S 0 = f ( β ) circles and the M S 0 −1 = f ( β ) circles are presented for the ESO-m for representative values of β , β ∈ {4,9,16} . Detailed diagrams are offered in [5] for the 2p-SO-m. Fig. 05 and β ∈{4, 9,12 (20)} . The curves point out the increase of robustness when the value of β is increased. Such diagrams can be useful for controller design (CAD) by allowing to fixing the value of β according to the desired performance. 4 Further Performance Enhancement: Alternative Controller Structures Both extensions found applications incorporated in alternative control structures and algorithms; such applications are exemplified as follows.

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