Finite state stochastic games - Existence theorems and computational procedures.
Existence theorem for Markov chain finite state stochastic games applied to saddle point and optimal strategy or epsilon-optimal strategy pairs
Engineering topics
Publications and source records attributed to Kushner, H. J..
Existence theorem for Markov chain finite state stochastic games applied to saddle point and optimal strategy or epsilon-optimal strategy pairs
Control of linear functional differential equation with quadratic cost
Linear functional differential equations control with quadratic cost
Scheme for choosing approximating system of difference equations for degenerate linear and nonlinear elliptic boundary value problems
Optimal control of system governed by linear parabolic equation with white noise inputs, using mathematical model to generate distributed system analog
Optimal control problems for Markov chains solved by iterative method, using nonlinear finite difference equations to approximate degenerate elliptic functions
Stability of stochastic processes defined by difference differential equations, noting properties of solution, weak infinitesimal operator, etc
Iterative method for optimal control problems for Markov chains, discussing degenerate nonlinear elliptic equations solution in optimal stochastic control theory
Stability of randomly sampled linear systems studied by Liapunov function method
Filtering for linear distributed parameter systems
Identification scheme for scalar input and scalar output linear systems for wide class of random inputs
Probability limit theorems and convergence of finite difference approximations of partial differential equations
Numerical solution for variety of nonlinear degenerate elliptic boundary value problems, and convergence of associated iterative procedures
Optimal cost discounted stochastic control for diffusion processes
Approximations to optimal nonlinear filters for problems involving signal and noise processes
Exact dynamical equation derived for conditional density mode representing stochastic process
Stability of processes defined by stochastic difference and differential equations
Signal and noise problem as solution to nonlinear stochastic differential equations