1 resultado para SOLUTION-PHASE APPROACH
em Repositório Científico da Universidade de Évora - Portugal
Filtro por publicador
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Aquatic Commons (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (5)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (5)
- Boston University Digital Common (4)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (19)
- Cambridge University Engineering Department Publications Database (35)
- CentAUR: Central Archive University of Reading - UK (22)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (150)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Deakin Research Online - Australia (24)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (3)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (4)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (5)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (23)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (275)
- Instituto Politécnico do Porto, Portugal (5)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (3)
- National Center for Biotechnology Information - NCBI (5)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (100)
- Queensland University of Technology - ePrints Archive (146)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (5)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (22)
- Research Open Access Repository of the University of East London. (1)
- SAPIENTIA - Universidade do Algarve - Portugal (9)
- Universidad Politécnica de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (8)
- Université Laval Mémoires et thèses électroniques (2)
- University of Michigan (3)
- University of Queensland eSpace - Australia (6)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
This paper deals with the phase control for Neurospora circadian rhythm. The nonlinear control, given by tuning the parameters (considered as controlled variables) in Neurospora dynamical model, allows the circadian rhythms tracking a reference one. When there are many parameters (e.g. 3 parameters in this paper) and their values are unknown, the adaptive control law reveals its weakness since the parameters converging and control objective must be guaranteed at the same time. We show that this problem can be solved using the genetic algorithm for parameters estimation. Once the unknown parameters are known, the phase control is performed by chaos synchronization technique.