We propose a new, generic and flexible methodology for nonparametric function estimation, in which we first estimate the number and locations of any features that may be present in the function, and then estimate the function parametrically between each pair of neighbouring detected features. Examples of features handled by our methodology include change-points in the piecewise-constant signal ...

this paper presents a discrete-time robust control for electrically driven robot manipulators in the task space. a novel discrete-time model-free control law is proposed by employing an adaptive fuzzy estimator for the compensation of the uncertainty including model uncertainty, external disturbances and discretization error. parameters of the fuzzy estimator are adapted to minimize the estimat...

Adaptive algorithms for receivers employing antenna arrays have recently received significant attention for radar systems applications. In the majority of these algorithms, the covariance matrix for the clutter-plus-noise is characterized by using samples taken from range cells surrounding the test cell. If the underlying covariance matrix of the test cell is different from the average covarian...

This paper addresses the problem of controlling an uncertain time-varying plant by means of a finite family of linear candidate controllers supervised by an appropriate switching logic. It is shown that global stability of the closed-loop system can be guaranteed provided that (i) at every time there is at least one candidate controller that would stabilize the current time-invariant “frozen” p...

RÉSUMÉ. Ce papier décrit l’intérêt de l’apport des processus SIRV (processus gaussiens composés) pour la détection et l’estimation dans le cadre de la détection de cibles mobiles (STAP). Ces processus permettent de manière élégante et efficace d’étendre au problème STAP la théorie de la détection et de l’estimation dans un cadre de bruit additif (fouillis) hétérogène et/ou non gaussien. Nous pr...

Non-cooperative moving target appear defocused in SAR image due to the lack of knowledge of the relative motion between radar platform and moving target. The spreading effect induced by uncompensated target motion leads to a low detection capabilities especially in the case of ground moving target where the target returns is lower compared to the clutter return. Moreover in the case of bistatic...

1.1.2 What is randomness? Successive observations, x(n-1), x(n), x(n+1), ... are dependent on one another • If x(n) can be predicted exactly from the previous samples then the time-series signal is deterministic • If x(n) cannot be predicted exactly from the previous samples the time-series signal is random or stochastic • If x(n) is independent from previous samples then the time-series signal...

With a growing number of robots deployed in populated environments, the ability to detect and track humans, recognize their activities, attributes and social relations are key components for future service robots. In this article we will consider fundamentals towards these goals and present several results using 2D range data. We first propose a learning method to detect people in sensory data ...