The main purpose of this paper is to overview some recent methods and results on controllability/observability problems for systems goved by partial differentia
This paper studies a class of forward-backward stochastic differential equations(FBSDE)in a general Markovian framework.The forward SDE represents a large class
This paper introduces several algorithms for signal estimation using binary-valued output sensing.The main idea is derived from the empirical measure approach f
Following work carried out earlier on linear-quadratic optimal control for linear finite dimensional stationary systems we report,in this article,on extension o
This work is conced with rates of convergence of numerical methods using Markov chain approximation for controlled diffusions with stopping(the first exit time
In this paper,the authors are conced with the stability of the mix-delayed CohenGrossberg neural networks with nonlinear impulse by the nonsmooth analysis.Some
Time dependent carbon transfer coefficients are estimated using ecosystem exchange data by minimizing over variable observational intervals,Kalman filter,and va