This paper presents an approach to the decomposition and approximation of the linear quadratic Gaussian estimation and control problems for weakly coupled systems. The global Kalman filter is decomposed into separate reduced-order local filters via the use of a decoupling transformation. A near-opti
On the steady state behaviour of stochastic systems
โ Scribed by P. E. Caines; S. P. Meynt; E. Moscas
- Publisher
- John Wiley and Sons
- Year
- 1988
- Tongue
- English
- Weight
- 562 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0890-6327
No coin nor oath required. For personal study only.
โฆ Synopsis
The question of the existence of steady state solutions to the closed loop system equations for stochastic systems, and in particular ARMAX systems under non-linear feedback control, is addressed. Using the ergodic theory of time-invariant Markov processes, it is shown that corresponding to a large class of control laws there exist shift-invariant probabilities for the joint disturbance input-output processes. This permits an asymptotic analysis of (i) averages of functions of the state process, (ii) the probability distributions governing the state process and (iii) loss functions on the system in the steady state.
KEY WORDS Stochastic systems Steady state ARMAX systems Markov processes
Input-output processes
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