3 research outputs found
Mapping prior information onto LMI eigenvalue-regions for discrete-time subspace identification
In subspace identification, prior information can be used to constrain the
eigenvalues of the estimated state-space model by defining corresponding LMI
regions. In this paper, first we argue on what kind of practical information
can be extracted from historical data or step-response experiments to possibly
improve the dynamical properties of the corresponding model and, also, on how
to mitigate the effect of the uncertainty on such information. For instance,
prior knowledge regarding the overshoot, the period between damped oscillations
and settling time may be useful to constraint the possible locations of the
eigenvalues of the discrete-time model. Then, we show how to map the prior
information onto LMI regions and, when the obtaining regions are non-convex, to
obtain convex approximations.Comment: Under revie
A low-cost wireless system of inertial sensors to postural analysis during human movement
The dynamics of the human body has generated considerable recent research interest among scientist
devoted to reducing the number of injuries and for performance improvement. In these studies, the
investigation is usually addressed by means of commercial devices based on video recordings.
However, these systems based on video recordings are usually expensive and require suitable laboratories for their use, which makes it unfeasible to collect data for activities outside controlled environments.
In this work, we have shown that it is possible to present similar results with a much lower sampling rate,
focusing on the evaluation of minimum and maximum values of the gait. As a result, it has been possible
to develop a wearable, compact, portable, low-cost, wireless and embedded system to simultaneously
analyze the three-dimensional angular position in eight points. This technology can be used in many sorts
of environments. It is also possible to access information in real time with reliable and accurate measurements by means of simple modelling for the use of fusion techniques implemented in the microcontroller. Tests were conducted to evaluate the metrological characteristics of the system using the
Complementary Filter (CF) and the Kalman Filter (KF). An algorithm of evolutionary strategies tuned both
filters, providing errors of less than 5% for static situations in the measurement of the angular position
over the entire system utilization range. Our results have been compared with the commercial system
Qualisys Motion-Capture. The statistical method elaborated by Bland and Altman has been used. We have
found our method yields a motion analyses in good agreement with results using post-processed video