๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Controllability of linear stochastic systems

โœ Scribed by M Ehrhardt; W Kliemann


Publisher
Elsevier Science
Year
1982
Tongue
English
Weight
543 KB
Volume
2
Category
Article
ISSN
0167-6911

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Controllability of Linear Stochastic Sys
โœ Nazim I. Mahmudov ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 141 KB

The classical theory of controllability for deterministic systems is extended to linear stochastic systems defined on infinite-dimensional Hilbert spaces. Three types of stochastic controllability are studied: approximate, complete, and S-controllability. Tests for complete, approximate, and S-contr

Stochastic controllability of linear sys
โœ M. Mariton ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 272 KB

The notion of stochastic controllability for linear systems subject to Markovian jumps in parameter values is studied. An algebraic necessary and sufficient condition is obtained in terms of an easily computable rank test.

Adaptive control of linear stochastic sy
โœ J.G. Deshpande; T.N. Upadhyay; D.G. Lainiotis ๐Ÿ“‚ Article ๐Ÿ“… 1973 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 756 KB
Cautious hierarchical switching control
โœ M.C. Campi; Joรฃo P. Hespanha; Maria Prandini ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 182 KB ๐Ÿ‘ 2 views

## Abstract Standard switching control methods are based on the certainty equivalence philosophy in that, at each switching time, the supervisor selects the candidate controller that is better tuned to the currently estimated process model. In this paper, we propose a new supervisory switching logi

Closed-loop control of stochastic non-li
โœ G.T. Schmidt ๐Ÿ“‚ Article ๐Ÿ“… 1971 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 814 KB

A simultaneous combined optimization of the reference trajectory, perturbation controller, and perturbation estimator .for stochastic non-linear systems can improve performance over quadratic synthesis optimization around a nominal trajectory. Summnry--A new approach for optimum control of stochast