Topics in stochastic systems : modelling, estimation, and adaptive control
This book contains a collection of survey papers in the areas of modelling, estimation and adaptive control of stochastic systems describing recent efforts to develop a systematic and elegant theory of identification and adaptive control. It is meant to provide a fast introduction to some of the rec...
Zapisane w:
| Kolejni autorzy: | , |
|---|---|
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Seria: | Lecture notes in control and information sciences
161 |
| Hasła przedmiotowe: | |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Topics in stochastic systems, modelling, estimation, and adaptive control, L. Gerencsér, P.E. Caines (eds.), Berlin, Springer-Verlag, 1991, 401 p., Lecture notes in control and information sciences, 3-540-54133-0 • Topics in Stochastic Systems: Modelling, Estimation and Adaptive Control, Texte imprimé, 9783662165249 |
Spis treści:
- Direct modeling of white noise in stochastic systems
- Markovian representations of cyclostationary processes
- Parametriztions of linear stochastic systems
- Stochastic realization for approximate modeling
- Representation of inner products and stochastic realization
- On realization and identification of stochastic bilinear systems
- On stochastic partial differential equations. Results on approximations
- Developments in parameter bounding
- Recent progress in parallel stochastic approximations
- On the adaptive stabilization and ergodic behaviour of stochastic systems with jump-Markov parameters via nonlinear filtering
- Identification and adaptive control for ARMAX systems
- Some methods for the adaptive control of continuous time linear stochastic systems
- Strong approximation results in estimation and adaptive control
- Stochastic adaptive control: Results and perspective
- Information bounds, certainty equivalence and learning in asymptotically efficient adaptive control of time-invariant stochastic systems
- Stability of Markov chains on topological spaces with applications to adaptive control and time series analysis.