This paper deals with the state estimation problem for linear systems with state equality constraints. Using noisy measurements which are available from the observable system, we construct the optimal estimate which also satisfies linear equality constraints. For this purpose, after reviewing modeling problems in linear stochastic systems with state equality constraints, we formulate a projecte...

Ground-state properties are central to our understanding of quantum many-body systems. At first glance, it seems natural and essential obtain the ground state before analyzing its properties; however, exponentially large Hilbert space has made such studies costly, if not prohibitive, on sufficiently system sizes. Here, we propose an alternative strategy based upon expectation values ensemble op...

in this article, a game in which terrorists and the state government are the players is considered. on the one hand, terrorists try to attack major cities and impose damages (loss in the state’s point of view), on the other hand, the state tries to reduce damages through establishing the optimal number of facilities that are also optimally located. furthermore, allocating of fixed facilities in...

In this paper, the continuous optimal control theory is used to model and solve the maximum entropy problem for a continuous random variable. The maximum entropy principle provides a method to obtain least-biased probability density function (Pdf) estimation. In this paper, to find a closed form solution for the maximum entropy problem with any number of moment constraints, the entropy is consi...

In the last years, some very promising domain independent heuristic state-space planners for STRIPS worlds, like ASP/HSP, HSPr and GRT, have been presented. These planners achieve remarkable performance in some domains, like the blocks world, the logistics and the gripper, but they are not effective in other domains, like the grid and the mystery. In this paper we propose the use of state const...