1. |
Analysis of nonlinear stochastic systems by means of the Fokker–Planck equation† |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 603-655
A. T. FULLER,
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摘要:
Nonlinear systems disturbed by Gaussian white noises (or by signals obtained from Gaussian white noises) can sometimes be analysed by setting up and solving the Fokker–Planck equation for the probability density in state space. In the present paper a simplified derivation of the Fokker–Planck equation is given. The uniqueness of the steady-state solution is discussed. Steady-state solutions are obtained for certain classes of system. These solutions correspond to or slightly generalize the Maxwell–Boltzmann distribution which is well known in classical statistical mechanics
ISSN:0020-7179
DOI:10.1080/00207176908905786
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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2. |
A method of obtaining the dual-input describing functions for a periodic input† |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 657-664
ASIM K. SEN,
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摘要:
A combined analytic and graphic procedure is described for obtaining the dual-input describing functions for a class of non-linear elements subjected to a periodic input. The procedure is illustrated by considering the non-linearity to be a simple contactor involving hysteresis and the describing functions obtained for the element are presented.
ISSN:0020-7179
DOI:10.1080/00207176908905787
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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3. |
An optimization problem in distributed parameter systems† |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 665-677
FERNANDO L. ALVARADO,
RANGASWAMY MUKUNDAN,
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摘要:
The optimal control problem for a furnace heating a one-dimensional slab with a quadratic performance index is analysed. This system is a typical distributed parameter system. The Hamiltonian is defined and the canonical equations are obtained. A Riccati type matrix partial differential equation is obtained from the canonical equations. An approximate method to solve these equations is derived and an example is presented to illustrate this method.
ISSN:0020-7179
DOI:10.1080/00207176908905788
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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4. |
Stability of discrete systems over a finite interval of time† |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 679-693
A. N. MICHEL,
S. H. WU,
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摘要:
In many cases of practical interest there is concern with the behaviour of dynamic systems only over a finite time interval. This concern may arise in one of two ways: In one case the system under consideration is defined over a fixed and finite interval of time, while in the second case the system in question is defined for all time; however, the behaviour of the system is of interest only over a finite time interval.
ISSN:0020-7179
DOI:10.1080/00207176908905789
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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5. |
An analogue technique for solving trajectory optimization problems |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 695-707
P. L. NEELY,
A. P. ROBERTS,
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摘要:
Analogue or hybrid computer methods for solving trajectory optimization problems usually require the solution of a two-point boundary value problem. A method of solving this problem is presented which does not require a good initial approximation to ensure convergence of the iteration. Analogue computer results are given with the method applied to a double integrator plant. Two different forms of performance index are considered.
ISSN:0020-7179
DOI:10.1080/00207176908905790
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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6. |
Some differential equations of probability theory in stochastic processes and control systems† |
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International Journal of Control,
Volume 9,
Issue 6,
1969,
Page 709-721
VINCENT H. LARSON,
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摘要:
The origin, basic assumptions and some characteristics of two types of differential equations that arise in the study of control systems and processes which involve random variables are discussed in this paper. The first group are derived equations that follow from specified probabilistic considerations. These include retrospective and forward Kolmogorov differential equations and a transition rate differential equation. The second group are descriptive equations in the sense that they are taken as defining typical stochastic processes and systems. These include differential equations with an additive random variable, and differential equations describing systems with elements subject to random variation.
ISSN:0020-7179
DOI:10.1080/00207176908905791
出版商:Taylor & Francis Group
年代:1969
数据来源: Taylor
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