2020
Authors
dos Santos, PL; Freigoun, MT; Martin, CA; Rivera, DE; Hekler, EB; Romano, RA; Perdicoulis, TPA;
Publication
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Abstract
System identification approaches have been used to design an experiment, generate data, and estimate dynamical system models for Just Walk, a behavioral intervention intended to increase physical activity in sedentary adults. The estimated models serve a number of important purposes, such as understanding the factors that influence behavior and as the basis for using control systems as decision algorithms in optimized interventions. A class of identification algorithms known as matchable-observable linear identification has been reformulated and adapted to estimate linear time-invariant models from data obtained from this intervention. The experimental design, estimation algorithms, and validation procedures are described, with the best models estimated from data corresponding to an individual intervention participant. The results provide insights into the individual and the intervention, which can be used to improve the design of future studies.
2020
Authors
Azevedo Perdicoúlis, T; Jank, G; Lopes dos Santos, P;
Publication
Systems of Systems - Engineering, Modeling, Simulation and Analysis [Working Title]
Abstract
2020
Authors
Perdicoulis, TPA; Jank, G; dos Santos, PL;
Publication
IFAC PAPERSONLINE
Abstract
In view to the decentralised problem of gas network optimisation, we model the problem as differential game where the players are the network controllable elements that communicate through nearest-neighbour network components. The controllable elements are sources and compressors. But since these do not have the same relevance within the network, it will be interesting to use a game hierarchical framework, i.e., to model the network operation as a Stackelberg game. Also, the disturbed version of the same problem suits the problem better because is is assumed that the network works with nominated operational levels. The variations of the real operation can then be viewed as disturbances to these system operational levels.
2020
Authors
Umaraliev, R; Moura, R; Havenith, H; Almeida, F; Nizamiev, AG;
Publication
European Journal of Engineering Research and Science
Abstract
2020
Authors
Ferreira, PJC; Gomes, LMF; Oliveira, AS; Moura, RMM; Lourenço, JM;
Publication
A Aplicação do Conhecimento Científico nas Engenharias 3
Abstract
2020
Authors
Matos, T; Faria, CL; Martins, MS; Henriques, R; Gomes, PA; Goncalves, LM;
Publication
SENSORS
Abstract
A cost-effective optical instrument for continuous in-situ monitoring applications is presented. With a production cost in raw materials of 38 Euro, a power consumption of 300 mu A in sleep mode and 100 mA in active mode (5 ms reading), and a capacity to monitor turbidity and sedimentary displacement at eight different depths in the water column, the sensor was developed for sediment monitoring in coastal areas. Due to the extent and dynamics of the processes involved in these areas, observations require a wide spatial and temporal resolution. Each of the eight monitoring nodes uses one infrared backscatter channel, to estimate turbidity and sediment concentration, and one ultraviolet with one infrared transmitted light channels to distinguish organic/inorganic composition of the suspended material load. An in-lab calibration was conducted, using formazine to correlate turbidity with the electronic outputs of the instrument. An analysis of the influence of external light sources and correction techniques were performed. Moreover, an in-lab experiment was conducted to study the behaviour of the sensor-to-sediment transport, wash load and sediment accumulation. The device was deployed, with a water level sensor, in an estuarine area with high sediment dynamics. The monitoring data were analysed, showing the potential of the device to continuously monitor turbidity, sediment processes, and distinguish between organic and inorganic matter, at the different depths in the water column.
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