Lecture notes in control and information sciences; 136 (Berlin; Heidelberg, 1989). - ОГЛАВЛЕНИЕ / CONTENTS
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ОбложкаStochastic systems and optimization: Proc. of the 6th IFIP WG 7.1 working conf., Warsaw, Poland, September 12 - 16, 1988 / Ed. by Zabczyk J. - Berlin; Heidelberg: Springer-Verlag, 1989. - vi, 373 p.: ill. - (Lecture notes in control and information sciences; 136). - Incl. bibl. ref. - ISBN 3-540-51619-0; ISBN 0-387-51619-0
 

Оглавление / Contents
 
1. STOCHASTIC FINITE-DIMENSIONAL SYSTEMS


C. BRUNI and G. KOCH:
Some Results about Two-Mode Stochastic Compartmental Models ..... 3

R. BUCKDAHN:
Anticipating Linear Stochastic Differential Equations .......... 18

O. ENCHEV:
Nonlinear Filtering for Signal Correlated with the Noise ....... 24

H.J. ENGELBERT and W. SCHMIDT:
Continuous Local Martingales: Strong Markov Property,
Solutions of Stochastic Equations, and the Interplay between
Them ........................................................... 48

A. HALANAY and T. MOROZAN:
Tracking Almost Periodic Signals under White Noise 
Perturbations .................................................. 75

T. HIDA and SI SI:
Variational Calculus for Gaussian Random Fields ................ 86

J. KISYNSKI:
Local Uniqueness of Feller Processes with Integrodifferential
Generators ..................................................... 98

A. KOWALSKI and D. SZYNAL:
On General ARM A Models and Regularity Conditions ............. 112

A. ROZKOSZ and L. SLOMINSKI:
On Limit Points of a Sequence of Weak Solutions of 
One-Dimensional Stochastic Differential Equations ............. 125

K. SOBCZYK:
Modelling of Random Fatigue Accumulation ...................... 134

К. URBANIK:
Functionals on Stochastic Processes ........................... 142

C. VARSAN:
Asymptotic Almost Periodic Solutions for Stochastic 
Differential Equations ........................................ 152


2. STOCHASTIC INFINITE-DIMENSIONAL SYSTEMS


T. BOJDECKI and J. JAKUBOWSKI:
Stochastic Integral with Respect to a Generalized Wiener
Process in a Conuclear Space .................................. 161

A. CHOJNOWSKA-MICHALIK:
Periodic Linear Equations with General Additive Noise in
Hilbert Spaces ................................................ 169

P. KOTELENEZ:
Low and High Density Reaction-Diffusion Models ................ 185

Z. KOTULSKI:
Equations for the Characteristic Functional and Moments 
of the Complex Stochastic Evolutions—Motivation and Results ... 191

R. MANTHEY:
On a Class of Semilinear Stochastic Partial Differential
Equations ..................................................... 201

B. MASLOWSKI:
Strong Feller Property for Semilinear Stochastic Evolution
Equations and Applications .................................... 210

E. PLATEN:
On the Macroscopic Nonequilibrium Dynamics of an Exclusion
Process ....................................................... 225

J. ZABCZYK:
On Large Deviations for Stochastic Evolution Equations ........ 240


3. STOCHASTIC CONTROL AND ESTIMATION


A. BENSOUSSAN and R. GLOWINSKI:
Approximation of Zakai Equation by the Splitting up Method .... 257

A. BENSOUSSAN and NAGAI:
An Ergodic Control Problem on Whole Euclidean Space ........... 266

T. BIELECKI and L. STETTNER:
On Limit Control Principle for Singularly Perturbed Markov
Processes ..................................................... 274

T. DUNCAN:
Some Solvable Stochastic Control Problems in Symmetric 
Spaces of Type IV ............................................. 284

D. GATAREK:
Impulsive Control of Piecewise-Deterministic Processes ........ 298

U. HAUSSMAN:
Synthesis of Optimal Controls ................................. 309

P. KAZIMIERCZYK:
Consistent ML Estimator for Drift Parameters of both
Ergodic and Nonergodic Diffusions ............................. 318

B. PASIK-DUNCAN:
On Adaptive Control of Continuous Time Linear Stochastic
Systems ....................................................... 328

Z. POROSINSKI and K. SZAJOWSKI:
A Minimax Control of Linear Systems ........................... 344

A. SIEROCINSKI and J. ZABCZYK:
On a Packing Problem .......................................... 356

C. TUDOR:
Quadratic Control for Linear Stochastic Equations with
Pathwise Cost ................................................. 360

ADDRESSES OF CONTRIBUTORS .................................. 371


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