This paper presents new necessary and sufficient algebraic conditions on the existence of positively &@invariant polyhedra of continuous-time linear systems subject to additive disturbances. In particular, for a convex unbounded polyhedron containing the origin in its interior, it is also shown tha
A study of linear time-varying systems subject to stochastic disturbances
β Scribed by S.Y. Chan; K. Chuang
- Publisher
- Elsevier Science
- Year
- 1966
- Tongue
- English
- Weight
- 706 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper is concerned with the analysis, in a stochastic sense, of systems described by linear differential equations with random disturbances, which often arise in the study of the variational behavior of an optimal control system along its nominal trajectory due to random disturbances in plant parameters or measuring errors in state variables.
The random vector may be a white noise vector or may be generated by ditferenfial equations excited by white noise. By means of the Fokker-Planck equation the general result not only reveals the stability property of the system but also enables one to determine the state of the system at every instant of time in a stochastic sense. E,xperimcntal verification is given by simulating a second order system on an analog computer and the result is found to be in agreement with theory.
π SIMILAR VOLUMES
Linear time-varying (LTV) systems have been often dealt with on a case-by-case basis. Many well-developed concepts and analytic methods of linear time-invariant (LTI) systems cannot be applied to LTV systems. For example, the conventional de"nition of modal parameters is invalid for LTV systems. The
An algorithm is given to estimate the noise eovariance matrices for a linear, discrete, time-varying stochastic system. If these matrices are linear with respect to a set of aparameters, it is found that the correlation products of the innovations sequence is also linear in these parameters. The fac