2017
Authors
de Oliveira, JB; Pinho, TM; Coelho, JP; Boaventura Cunha, J; Oliveira, PM;
Publication
IFAC PAPERSONLINE
Abstract
Water level regulation of irrigation canals represents a major challenge for control systems design. Those systems exhibit large dynamic variations in their operating conditions. To overcome this fact, robust controllers should be applied. The sliding mode control paradigm reveals this ability which make it a suitable candidate to be incorporated in the irrigation canal control loop. Moreover, its flexibility can be further potentiated by extending the ordinary formulation by adding fractional-order integro-differential operations. In this work, fractional-order sliding mode control is applied to the above mentioned problem. This application represents a novelty and, according to the obtained simulation results, leads to an accurate and proper performance when compared to its integer-order counterpart and to a fractional proportional-integrative controller, recently proposed for this problem.
2017
Authors
Akkoorath, DD; Brandão, J; Bieniusa, A; Baquero, C;
Publication
Proceedings of the Workshop on Programming Models and Languages for Distributed Computing, Barcelona, Spain, June 20, 2017
Abstract
2017
Authors
Cardoso, JS; Pardo, XM; Paredes, R;
Publication
NEURAL COMPUTING & APPLICATIONS
Abstract
2017
Authors
Campos, JC; Nunes, N; Campos, P; Calvary, G; Nichols, J; Martinie, C; Silva, JL;
Publication
EICS
Abstract
2017
Authors
Gouveia, A; Silva, N; Martins, P;
Publication
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - (Volume 2), Funchal, Madeira, Portugal, November 1-3, 2017.
Abstract
Ontology matchers establish correspondences between ontologies to enable knowledge from different sources and domains to be used in ontology mediation tasks (e.g. data transformation and information/ knowledge integration) in many ways. While these processes demand great quality alignments, even the best-performing alignment needs to be corrected and completed before application. In this paper, we propose a rule-based system that improves and completes the automatically-generated alignments into fullyfledged alignments. For that, the rules capture the pre-conditions (existing facts) and the actions to solve each (ambiguous) scenario, in which automatic decisions supported by a folksonomy-based matcher are adopted. The evaluation of the proposed system shows the increasing accuracy of the alignments.
2017
Authors
Gomes, M; Costa, JC; Alves, RA; Silva, NA; Guerreiro, A;
Publication
THIRD INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS
Abstract
In this paper we report on the development of a numerical solver for Vlasov equations based on heterogeneous supercomputing using GPGPUs. The solver adapts techniques from many-body simulation, namely the particlein-cell approach, to describe the interaction between the electromagnetic field and atomic gas whose internal state can be described by the multilevel Bloch equations. We also present the benchmark and performance analysis of the code. We investigate the interaction between two coherent light beams, as a case of study to demonstrate the validation of the code.
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