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Palma, LB, Coito F, Neves-Silva R.  2004.  Sensor fault diagnosis based on neural observers and parameter estimation–application to the three-tank benchmark. VI Portuguese Conf. on Automatic Control, Faro. Indexed at ISI Web of Science. Abstract

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Coito, F, Gomes L, Costa A.  2007.  Simulation, emulation and remote experiments. Proceedings of the Workshop on using VR in Education, Lisboa. :99–110.: Citeseer Abstract

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Almeida, R, Ortigueira MD, Batista AG, Ktonas P.  2011.  Sleep Spindles: Decomposition, Parameterization and Applications. 19th IEEE Conference on Signal Processing and Communications Applications. Abstract
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Coito, F, Almeida P, Palma LB.  2005.  SMCRVI-a Labview/Matlab based tool for remote monitoring and control. Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on. 2:6–pp.: IEEE Abstract

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Batista, A, Pereira A.  2017.  Software Development for the Detection and Characterization of Rail Corrugation. Workshop on Railway track dynamics. : Faculty of Sciences and Technology/UNL
Manuel Ortigueira, Machado, JA (Eds.).  2003.  Special Issue on Fractional signal Processing and applications. Signal Processing. 83:2285–2286., Number 11: Elsevier Abstract
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Coito, F, Lemos JM, Alves SS.  2005.  Stochastic Extremum Seeking in the Presence of Constraints. World Congress. 16:266–266., Number 1 Abstract

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Costa, F, Coito F, Palma L.  2011.  Switched Unfalsified Multicontroller. Technological Innovation for Sustainability. :393–401.: Springer Abstract

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Ortigueira, MD, Coito FJ.  2010.  System initial conditions vs derivative initial conditions. Computers & Mathematics with Applications. : Elsevier Ltd AbstractWebsite

The alternative system initial conditions versus the derivative initial conditions is focused in this paper. It is shown that Riemann?Liouville and Caputo initial conditions result from the corresponding derivative and not necessarily from the system at hand. To setup the correct system initialization, a formulation generalizing the integer order approach is presented. This is based on a generalization to the fractional environment of the well known jump formula. The obtained scheme is very general and does not depend on any transform. Besides, it can also be used in the time variant case. The Riemann?Liouville and Caputo initial conditions are interpreted in terms of this general framework and deduced equations where they are correct.

Ortigueira, MD, Coito FJ.  2010.  System initial conditions vs derivative initial conditions. Computers & Mathematics with Applications. 59:1782–1789., Number 5: Elsevier Abstract

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