— Stochastic optimal control problems arise in many applications and are, in principle, large-scale involving up to millions of decision variables. Their applicability in control...
Ajay K. Sampathirao, Pantelis Sopasakis, Alberto B...
We present an interesting link between two nonlinear MPC schemes with guaranteed stability. In particular, we show that terminal sets and costs designed for MPC with terminal cons...
Abstract— In this paper, we consider rate-distortion tradeoff problems for time-varying, multi-dimensional, partially observable Gauss-Markov processes subject to the zero-delay ...
— We investigate the co-design of a scheduler and controller for feedback control over wireless industrial hybrid protocol networks. These hybrid protocols incorporate possibilit...
— We present and analyze a hybrid computational architecture for performing multi-agent optimization. The optimization problems under consideration have convex objective and cons...
— The demand/supply balance in a power grid faces great challenges as more and more renewables are integrated into the system. Fluctuations in the power supply increases spectacu...
— This paper studies the controllability degree of complex networks as a function of the network diameter and weights. We quantify the controllability degree of a network with th...
— In view of the fact that actuators of satellites often break down in long term missions, this paper tackles attitude control problems of satellites by two actuators, especially...
— In the context of standard Markov decision processes (MDPs), the connection between Dynamic Program (DP) and Linear Program (LP) is well understood and is well established unde...
Abstract—We propose a method to design an intrinsic observer guaranteeing that the Riemannian distance between the estimate it generates and the state of the system is decreasing...