Abstract--This paper presents a full state feedback adaptive dynamic inversion method for uncertain systems that depend nonlinearly upon the control input. Using a specialized set ...
We consider the dynamic optimization of chemical processes with changes in the number of equilibrium phases. Recent work has shown that transitions in the number of phases can be ...
Arvind U. Raghunathan, M. Soledad Diaz, Lorenz T. ...
A sequential Bayesian estimation algorithm for joint positioning and multipath mitigation within satellite navigation receivers is presented. The underlying process model is espec...
Bernhard Krach, Michael Lentmaier, Patrick Roberts...
Experimental data show that biological synapses behave quite differently from the symbolic synapses in all common artificialneuralnetwork models. Biological synapses are dynamic, ...
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...