Many probabilistic models are only defined up to a normalization constant. This makes maximum likelihood estimation of the model parameters very difficult. Typically, one then h...
In this paper we consider systems which are globally completly observable and output-to-state stable. The former property guarantees the existence of coordinates such that the dyna...
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
A novel aproach to active surge control is presented for a centrifugal compressor driven by an electrical motor. The main idea of the paper is to use the drive itself for surge co...
Jan Tommy Gravdahl, Olav Egeland, Svein Ove Vatlan...
A GRASP (greedy randomized adaptive search procedure) is a multi-start metaheuristic for combinatorial optimization. We study the probability distributions of solution time to a su...
Renata M. Aiex, Mauricio G. C. Resende, Celso C. R...