This paper analyzes fast adaptive traffic engineering from a feedback control perspective. We provide a model that characterizes the system parameters’ effects on the performance of the dynamic routing system. This allows quantitative analysis of adaptive traffic engineering control laws and its design parameter choices. We then specialize the general framework in two representative network top...

in this paper we present a new method for solving fractional optimal control problems with delays in state and control. this method is based upon bernstein polynomial basis and using feedback control. the main advantage of using feedback or closed-loop controls is that they can monitor their effect on the system and modify the output accordingly. in this work, we use bernstein polynomials to tr...

One possible approach to do path planning for nonholonomic systems is to use optimal control. It is intuitively clear that optimal control should give rise to solutions of the path planning problem that are in feedback form, and one can expect that the resulting feedback control laws will be \piecewise smooth" or \piecewise analytic" in some sense. Here we focus on the weaker property of analyt...

Abstract: The robust control problem for linear systems with parameter uncertainties and time-varying delays is examined. By using an appropriate uncertainty description, a linear state feedback control law is found ensuring the closed-loop system’s stability and a performance measure, in terms of the guaranteed cost. An LMI objective minimization approach allows to determine the ”optimal” choi...

This paper addresses output regulation problem for general linear systems subject to input saturation by composite nonlinear feedback (CNF) control. The CNF control law is constructed based on a switch control law which solves the output regulation problem by introducing a nonlinear feedback part. The purpose of the nonlinear feedback part is to improve the transient performance of the output r...

Recent work is revealing neural correlates of a leading theory motor control. By linking an elegant series behavioral experiments with inactivation in macaques computational models, new study shows that premotor and parietal areas can be mapped onto model for optimal feedback We are constantly adapting. Whether it to shoes, or walking on icy terrain, we have the capacity continually update our ...