— In this paper, we consider the standard state estimation problem over a congested packet-based network. The network is modeled as a queue with a single server processing the pa...
Michael Epstein, Abhishek Tiwari, Ling Shi, Richar...
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
We present greedy algorithms for some classes of combinatorial packing and cover problems within the general formal framework of Hoffman and Schwartz' lattice polyhedra. Our ...
: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
Sandip Roy, George C. Verghese, Bernard C. Lesieut...