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S. Tang, X. Li (1994)
Differential Equations, Dynamical Systems, and Control Science
P. Kotelenez (1984)
A stopped Doob inequality for stochastic convolution integrals and stochastic evolution equationsStochastic Analysis and Applications, 2
I. Gyöngy, N. Krylov (1980)
On stochastic equations with respect to semimartingales I.Stochastics An International Journal of Probability and Stochastic Processes, 4
N. Ahmed (1986)
Existence of optimal controls for a class of systems governed by differential inclusions on a Banach spaceJournal of Optimization Theory and Applications, 50
X. Zhou (1993)
On the necessary conditions of optimal controls for stochastic partial differential equationsSiam Journal on Control and Optimization, 31
A. Al-Hussein, S. Arabia (2010)
Maximum Principle for Controlled Stochastic Evolution Equations
G. Prato, J. Zabczyk (2008)
Stochastic Equations in Infinite Dimensions
C. Tudor (1989)
Optimal control for semilinear stochastic evolution equationsApplied Mathematics and Optimization, 20
I. Gyöngy, N. Krylov (1982)
On stochastics equations with respect to semimartingales ii. itô formula in banach spaces, 6
I. Gyöngy, N. Krylov (1981)
Ito formula in banach spaces
H. Kushner (1965)
On the stochastic maximum principle: Fixed time of controlJournal of Mathematical Analysis and Applications, 11
A. Al-Hussein (2009)
Backward stochastic partial differential equations driven by infinite-dimensional martingales and applicationsStochastics, 81
Xunjing Li, J. Yong (1994)
Optimal Control Theory for Infinite Dimensional Systems
A. Bensoussan (1992)
Stochastic Control of Partially Observable Systems
W. Jones, W. Thron (1982)
Encyclopedia of Mathematics and its Applications.Mathematics of Computation, 39
X.J. Li, J.M. Yong (1995)
Systems & Control: Foundations & Applications
B. Rozovskii (1990)
Stochastic Evolution Systems
L. Arnold (1992)
Stochastic Differential Equations: Theory and Applications
(1986)
Semimartingales: A course on stochastic processesActa Applicandae Mathematica, 5
J. Yong, X. Zhou (1999)
Stochastic Controls: Hamiltonian Systems and HJB Equations
H. Kushner (1972)
Necessary conditions for continuous parameter stochastic optimization problemsSiam Journal on Control, 10
K. Hoffmann, G. Leugering, F. Tröltzsch, Stiftung Caesar (1991)
Optimal Control of Partial Differential Equations
N. Krylov, B. Rozovskii (1981)
Stochastic evolution equationsJournal of Soviet Mathematics, 16
A. Bensoussan (1982)
Lectures on stochastic control
S. Peng (1990)
A general stochastic maximum principle for optimal control problemsSiam Journal on Control and Optimization, 28
P. Chow (1996)
Stochastic partial differential equations
C. Tudor, W. Grecksch (1995)
Stochastic Evolution Equations: A Hilbert Space Approach
S. Peszat, J. Zabczyk (2007)
Stochastic Partial Differential Equations with Lévy Noise: An Evolution Equation Approach
N. Ahmed (1991)
Relaxed controls for stochastic boundary value problems in infinite dimension
A. Al-Hussein (2010)
SUFFICIENT CONDITIONS OF OPTIMALITY FOR BA CKWARD STOCHASTIC EVOLUTION EQUATIONS
T. Başar (2001)
Optimal Regulation Processes
J. Bismut (1976)
Théorie probabiliste du contrôle des diffusionsMemoirs of the American Mathematical Society, 4
M. Métivier, J. Pellaumail (1980)
Stochastic Integration, Probability and Mathematical Statistics
S. Mitter, A. Moro (1983)
Nonlinear Filtering and Stochastic Control
Classe Scienze (2012)
SCUOLA NORMALE SUPERIORE - PISA
Ying Hu, S. Peng (1996)
Maximum principle for optimal control of stochastic system of functional typeStochastic Analysis and Applications, 14
Srinivasa Varadhan, D. Stroock, Key Words (1974)
A probabilistic approach toTransactions of the American Mathematical Society, 192
R. Douglas (1966)
On majorization, factorization, and range inclusion of operators on Hilbert space, 17
S. Bahlali, B. Mezerdi (2005)
A General Stochastic Maximum Principle for Singular Control ProblemsElectronic Journal of Probability, 10
U. Haussmann (1986)
A stochastic maximum principle for optimal control of diffusions
M. Métivier (2013)
Stochastic partial differential equations in infinite dimensional spaces
S. Peng (1993)
Backward stochastic differential equations and applications to optimal controlApplied Mathematics and Optimization, 27
S. Cerrai (2001)
Second Order Pde's in Finite and Infinite Dimension: A Probabilistic Approach
M. Fuhrman, G. Tessitore (2002)
Nonlinear Kolmogorov equations in infinite dimensional spaces: the backward stochastic differential equations approach and applications to optimal controlAnnals of Probability, 30
S. Mitter (1982)
Lectures on nonlinear filtering and stochastic control
We consider a nonlinear stochastic optimal control problem associated with a stochastic evolution equation. This equation is driven by a continuous martingale in a separable Hilbert space and an unbounded time-dependent linear operator. We derive a stochastic maximum principle for this optimal control problem. Our results are achieved by using the adjoint backward stochastic partial differential equation.
Applied Mathematics and Optimization – Springer Journals
Published: Jun 1, 2011
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