We propose a certainty-equivalence scheme for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded input constraints, without requiring prior knowledge the bounds system parameters, nor direction. Assuming that is at-worst marginally stable, mean square boundedness closed-loop states proven. Lastly, numerical examples are presented illustrate o...

In this work an optimal sliding mode controller for second order, nonlinear systems is proposed. First, the surface selected to obtain finite time convergence desired state. Moreover, ensure robustness with respect unknown external disturbances and model uncertainties, time-varying at start of control process it intersects point, whose coordinates are defined by initial Thus, existence ensured ...

Segmentation of femurs in Anterior-Posterior x-ray images is very important for fracture detection, computer-aided surgery and surgical planning. Existing methods do not perform well in segmenting bones in x-ray images due to the presence of large amount of spurious edges. This paper presents an atlas-based approach for automatic segmentation of femurs in x-ray images. A robust global alignment...

In this paper, we use an input oriented chance-constrained DEA model withrandom inputs and outputs. A super-eciency model with chance constraintsis used for ranking. However, for convenience in calculations a non-linear deterministicequivalent model is obtained to solve the models. The non-linearmodel is converted into a model with quadratic constraints to solve the nonlineardeterministic model...

This short note points out an improvement on the robust stability analysis for electrically driven robots given in the paper. In the paper, the author presents a FAT-based direct adaptive control scheme for electrically driven robots in presence of nonlinearities associated with actuator input constraints. However, he offers not suitable stability analysis for the closed-loop system. In other w...