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1. |
Optimal control of partially observed systems with arbitrary dependent noises: linear quadratic case |
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Stochastics,
Volume 17,
Issue 3,
1986,
Page 163-205
A. E. Bashirov,
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摘要:
This paper deals with linear quadratic optimal control problem when signal and observation noises can be dependent. It is proved the separation principle for such case and it is shown how this separation principle enlarges the well-known duality between control and estimation problems. There are given existence results for three cases of the relations between signal and observation noises. One of them is a well-known independent noises case. Others concern the dependent noises.
ISSN:0090-9491
DOI:10.1080/17442508608833389
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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2. |
Nonlinear flows of stochastic linear delay equations |
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Stochastics,
Volume 17,
Issue 3,
1986,
Page 207-213
S. E. A. Mohammed,
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PDF (160KB)
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摘要:
The sample non-linearity of the classical Wiener integral as a function of continuous integrands is pointed out. As an application it is shown that the solution of a linear stochastic delay equation is an almost surely non-linear function of the initial trajectory segment.
ISSN:0090-9491
DOI:10.1080/17442508608833390
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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3. |
Convergence of stochastic flows connected with stochastic ordinary differential equations |
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Stochastics,
Volume 17,
Issue 3,
1986,
Page 215-251
Kunita Hiroshi,
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PDF (969KB)
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摘要:
We obtain the limit theorem for the sequence of stochastic flows generated by the stochastic ordinary differential equations dx/dt = F$sub:n$esub:(t, x, ω)n =l, 2,.... Under some regularity and mixing conditions on the sequence F$sub:n$esub: n = l,2,..., it is shown that the associated flows converge weakly to a Brownian motion in the diffeomorphisms group and that the latter is generated by an Itô's stochastic differential equation. The strong convergence is also established: It covers the approximation theorems on stochastic flows studied by Malliavin. Ikeda Watanabe. Bismut and Shu.
ISSN:0090-9491
DOI:10.1080/17442508608833391
出版商:Gordon and Breach Science Publishers, Inc
年代:1986
数据来源: Taylor
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4. |
Editorial board |
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Stochastics,
Volume 17,
Issue 3,
1986,
Page -
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PDF (166KB)
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ISSN:0090-9491
DOI:10.1080/17442508608833388
出版商:Gordon and Breach Science Publishers
年代:1986
数据来源: Taylor
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