In this paper, a new approach to design gain scheduled robust linear parameter varying (LPV) PID controllers with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller (including the known part of the delay) a...

background: in chile, a new law introduced in march 2012 lowered the blood alcohol concentration (bac) limit for impaired drivers from 0.1% to 0.08% and the bac limit for driving under the influence of alcohol from 0.05% to 0.03%, but its effectiveness remains uncertain. the goal of this investigation was to evaluate the effects of this enactment on road traffic injuries and fatalities in chile...

In order to predict unobserved values of a linear process with infinite variance, we introduce a linear predictor which minimizes the dispersion (suitably defined) of the error distribution. When the linear process is driven by symmetric stable white noise this predictor minimizes the scale parameter of the error distribution. In the more general case when the driving white noise process has re...

An infeasible start predictor-corrector algorithm for semideenite programming is proposed. It is a direct extension of the Mizuno-Todd-Ye predictor-corrector algorithm for linear programming. The algorithm uses the

In this paper, a new approach to design a robust gain scheduled linear parameter varying (LPV) PID controller with pole placement constraints (through LMI regions) is proposed for LPV systems with second order structure and time-varying delay. The controller structure includes a Smith predictor, real time estimated parameters that schedule the controller and Smith predictor (using the known par...

In this article a primal-dual interior-point method for solving linear programs is proposed. A new approach for generating higher-order search directions, and a new method for an eecient higher-order subspace search along several search directions are the basis of the proposed extension. The subspace search is reduced to a linear program in several variables. The method using the simplest (two-...

Prediction of image sequences is widely used inimage processing and transmission schemes such as Differential Pulse Code Modulation (DPCM).Traditional linear prediction employs linear predictors for simplicity. The nonlinear Volterra predictor can be used as an alternative to linear predictor to account for the nonlinear components in the image signals. The proposed quadratic predictor is more ...

The aim of this study was to investigate the role of trait anxiety in the relationship between the reported experience of negative life events and interrogative suggestibility. 127 participants completed the Gudjonsson Suggestibility Scale (GSS), the Life Events Questionnaire and the Neuroticism domain on the NEO Personality-Inventory Revised. Multivariate regression modelling showed that: (a) ...

A linear regression of y on x can be approximated by a simple difference: the average values of y corresponding to the highest quarter or third of x, minus the average values of y corresponding to the lowest quarter or third of x. A simple theoretical analysis shows this comparison performs reasonably well, with 80%–90% efficiency compared to the linear regression if the predictor is uniformly ...