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Download Aspects of Computational Intelligence: Theory and by Dušan Krokavec, Anna Filasová, Vratislav Hladký (auth.), PDF

By Dušan Krokavec, Anna Filasová, Vratislav Hladký (auth.), Ladislav Madarász, Jozef Živčák (eds.)

This quantity covers the state-of-the artwork of the examine and improvement in a variety of points of computational intelligence and provides a few point of view instructions of improvement. other than the conventional engineering components that include theoretical wisdom, purposes, designs and initiatives, the e-book contains the world of use of computational intelligence in biomedical engineering. „Aspects of Computational Intelligence: concept and purposes” is a compilation of conscientiously chosen prolonged papers written at the foundation of unique contributions provided on the 15th IEEE foreign convention on Intelligence Engineering platforms 2011, INES 2011 held at June 23.-26. 2011 in AquaCity Poprad, Slovakia.

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Extra info for Aspects of Computational Intelligence: Theory and Applications: Revised and Selected Papers of the 15th IEEE International Conference on Intelligent Engineering Systems 2011, INES 2011

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3. Photography of experimental setup. , they control x1 , x 3 and x5 , respectively, using the process transfer functions P( s) = H x ( s) , P(s) = H y ( s) for the x-axis and for the y-axis, respectively. 53 . The steps I and II of the controller design procedure use the lead-lag controllers and the real PD learning rules with the unified transfer functions C (s ) and C1 ( s ) , respectively [25, 26]: C ( s) = k c (1 + Ta s) /(1 + Tb s ), C1 ( s) = k1 (1 + Tc s ) /(1 + Td s) , (11) where k c and k 1 are gains, and Ta , Tb , Tc and Td are time constants, Ta > Tb , Tc > Td .

System’s responses obtained by experiments after 1 and after 52 iterations for the ILC-based control system structure with CL in the position control problem for the x-axis. Lead-Lag Controller-Based Iterative Learning Control Algorithms 33 Fig. 5. System’s responses obtained by experiments after 1 and after 22 iterations for the ILC-based control system structure with PCCL in the position control problem for the x-axis. -E. Precup et al. and after several iterations. The system responses of ILC-based control system structure with CL in the position control problem for the x-axis are presented in Fig.

An inertia theorem-based nonlinear controller with an accelerated method based on projections to the goal is proposed in [6]. A MIMO nonlinear tracking control structure is discussed in [7]. Feed-forward and inputshaping techniques are suggested in [8–10]. The sliding mode control applied to load swing suppression is analyzed in [11]. An interpolated delay-dependent gain scheduling law is proposed in [12]. A fuzzy and CMAC architecture is investigated L. Madarász et al. ): Aspects of Computational Intelligence, TIEI 2, pp.

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