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José Sá da Costa

Researcher at Technical University of Lisbon

Publications -  87
Citations -  2143

José Sá da Costa is an academic researcher from Technical University of Lisbon. The author has contributed to research in topics: Control theory & Model predictive control. The author has an hindex of 20, co-authored 87 publications receiving 1921 citations.

Papers
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Tuning of fractional PID controllers with Ziegler-Nichols-type rules

TL;DR: Two sets of tuning rules for fractional PIDs are presented, quadratic and require the same plant time-response data used by the first Ziegler-Nichols tuning rule for (usual, integer) PIDs, to provide a starting point for fine tuning.
Journal ArticleDOI

Variable-order fractional derivatives and their numerical approximations

TL;DR: This paper addresses the different possible definitions of variable-order derivatives and their numerical approximations; both approximation based upon the definitions and approximation consisting of non-linear transfer functions (in particular combining existing approximation of constant-order fractional derivatives, such as the Crone approximation, with fuzzy logic) are considered.
Journal ArticleDOI

Constructing statistical models for arch dam deformation

TL;DR: In this paper, the authors presented an HTT (hydrostatic, thermal, time) statistical model to interpret recorded concrete dam displacements, which replaces the seasonal function with the use of recorded temperatures that better represent the thermal effect on dam behavior.
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A SCADA system for energy management in intelligent buildings

TL;DR: In this paper, the authors developed an energy management platform for intelligent buildings using a SCADA system (Supervisory Control and Data Acquisition), which integrates different types of information coming from the several technologies present in modern buildings (control of ventilation, temperature, illumination, etc.).
Book

An Introduction to Fractional Control

TL;DR: Fractional control techniques provide an effective way to control dynamic behaviors, using fractional differential equations as discussed by the authors, which can include the control of fractional plants, control of a plant using a fractional controller, or control of the plant so that the controlled system will have a fractionality to achieve a performance that would otherwise be hard to come by.