An Iterative Algorithm for Optimal Event-Triggered Estimation*

An iterative approach for estimation of efficiency by weighted distance

An Optimal Algorithm for Monte Carlo Estimation

A typical approach to estimate an unknown quantity is to design an experiment that produces a random variable Z distributed in 0; 1] with EZ] = , run this experiment independently a number of times and use the average of the outcomes as the estimate. In this paper, we consider the case when no a priori information about Z is known except that is distributed in 0; 1]. We describe an approximatio...

An Efficient Iterative Pose Estimation Algorithm

An Eecient Iterative Pose Estimation Algorithm

We propose a novel model-based algorithm which nds the 3D pose of an object from an image by breaking down the estimation process into two linear processing stages, namely the depth approximation and the pose calculation. The depth approximation stage determines the new positions of the model point set in 3D space whereas the pose calculation step is a least-square estimation of the transformat...

Optimal Event-triggered Control under Costly Observations

Digital control design is commonly constrained to time-triggered control systems with equidistant sampling intervals. The emergence of more and more complex and distributed systems urges the development of advanced triggering schemes that utilize computational and communication resources efficiently. This paper considers a linear stochastic continuous-time setting, where the design objective is...