: 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...
The standard approach in computer-controlled systems is to sample and control periodically. In certain applications, such as networked control systems or energy-constrained system...
We solve optimal transportation problem using stochastic optimal control theory. Indeed, for a super linear cost at most quadratic at infinity, we prove Kantorovich duality theore...
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
We consider the design of linear precoding filters with respect to the minimum mean square error (MMSE) criterion for systems that employ an additional scalar gain next to a fix...