Foundations of Deterministic and Stochastic Control (Systems & Control: Foundations & Applications)
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Deterministic state-constrained optimal control problems without controllability assumptions
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Hybrid Dynamical Systems: An Introduction to Control and Verification
Email or Customer ID. Forgot password? Asymptotic series and exit time probabilities. Piecewise monotone filtering with small observation noise: numerical simulations. Piecewise monotone filtering in discrete-time with small observation noise. IEEE Trans. Control 36 , no. Partial differential equations and the calculus of variations, Vol.
Nonlinear Differential Equations Appl. Edward James McShane Notices Amer.
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Piecewise monotone filtering with small obervation noise. On the existence of value functions of two-player, zero-sum stochastic differential games. Indiana Univ. Generalized solutions in the optimal control of diffusions. Stochastic differential systems, stochastic control theory and applications Minneapolis, Minn. A remark on the large deviations of an ergodic Markov process. Stochastics 22 , no. Piecewise linear filtering with small observation noise. Two-player, zero-sum stochastic differential games.
Controlled Markov processes and viscosity solution of nonlinear evolution equations.
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Stochastic differential systems, stochastic control theory and applications. Proceedings of the workshop held at the University of Minnesota, Minneapolis, Minnesota, June , PDE-viscosity solution approach to some problems of large deviations. Stochastic variational formula for fundamental solutions of parabolic PDE. Nonlinear systems of partial differential equations in applied mathematics, Part 1 Santa Fe, N. Souganidis, P. Erratum: "Asymptotic series and the method of vanishing viscosity".
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Optimal exit probabilities and differential games. Analysis and optimization of systems Proc. Fourth Internat. Exit probabilities for diffusions depending on small parameters. Oxford, Oxford, , pp. Measure-valued processes in the control of partially-observable stochastic systems.
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Stochastic Optimal Control: The Discrete-Time Case