Direct design of robustly asymptotically stabilizing hybrid feedback

The aim of this research work, therefore, is the design and implementation of a classification system, which is able to separate relevant news from noise and which allows a

In particular, the output feedback case has been solved here by relying on a Lu- enberger observer providing an estimate of the plant state, which is used to define the flow and

This paper presents two different neural network configurations with unity and random weight initialization while using it as a direct controller and linear

Study of the decision making process indicated that leeway in task organization fitted into a multi-dimensional hierarchical decision structure in which each level N (higher center of

Since the range of possible behaviors of these nonlinear loops is broad (discontinuous changes of the state, compact sets of equilibria, state constraints), we cast the problems

The board is equipped with a Xilinx® FPGA (configurable digital circuit) that controls 2 Analog-to-Digital Converters (ADC). Each ADC converts each one of the 8 channels with

We point out that a major difficulty which in general arises in the construction of discontinuous feedbacks is that, as illustrated by Examples 5.3 and 5.4 in [29],

In [5], both masses are taken into account and strong stabilization is achieved when f is linear but no decay rate may be expected according to Russell’s compact perturbation of