M
Manuel De la Sen
Researcher at University of the Basque Country
Publications - 306
Citations - 2249
Manuel De la Sen is an academic researcher from University of the Basque Country. The author has contributed to research in topics: Fixed point & Metric space. The author has an hindex of 18, co-authored 306 publications receiving 1514 citations. Previous affiliations of Manuel De la Sen include Shahrekord University & Siirt University.
Papers
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Journal ArticleDOI
Representations of Multi-Model Based Controllers by Using Artificial Intelligence Tools
Asier Ibeas,Manuel De la Sen +1 more
TL;DR: The proposed robustness test improves the selection of the plant model used to parameterize the adaptive controller in comparison to classical multimodel schemes where the controller parameterization choice is basically taken based on the identification accuracy of each model.
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Analysis of discrete time schemes for milling forces control under fractional order holds
TL;DR: An intelligent design framework is designed as a supervisory scheme with two hierarchical levels in order to find the most appropriate value for the gain β to generate the real control input to the plant.
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Common Fixed Points of Generalized Cocyclic Mappings in Complex Valued Metric Spaces
TL;DR: In this paper, fixed point results of generalized contractive-type mappings involved in cocyclic representation of a nonempty subset of a complex valued metric space are obtained.
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On conformable fractional Legendre polynomials and their convergence properties with applications
TL;DR: In this paper, a wide study on conformable fractional Legendre polynomials (CFLPs) is presented, which is assumed to be a generalization and refinement, in an easy way, of the scalar case into the context of conformably fractional differentiation.
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Impact of Fear and Habitat Complexity in a Predator-Prey System with Two Different Shaped Functional Responses: A Comparative Study
TL;DR: In this paper, the authors investigate the interplay between the level of fear and the degree of habitat complexity in a predator-prey model with two different shaped functional responses, and the shape of the resulting functional response depends upon the monotonous property of catch rate, where N is the prey biomass.