In this paper we consider a quantized discrete-time linear quadratic regulator (DLQR) problem, namely a DLQR problem where the input u may only take values in a given finite set ...
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
—This paper investigates the closed-loop properties of multivariable (MIMO1 ) linear systems where the sensed information is centralized and coded on the basis of a ∆-modulatio...
Jonathan Jaglin, Carlos Canudas de Wit, Cyrille Si...
— In this paper a neural network based controller for robot positioning and tracking using direct monocular visual feedback is proposed. The visual information is provided using ...
Abstract In this paper we focus on property-preserving preorders between timed game automata and their application to control of partially observable systems. We define timed weak ...
Peter Bulychev, Thomas Chatain, Alexandre David, K...