Abstract
Motivated by applications in hydrodynamics and networks of thermostatically-control loads in buildings we study control of linear dynamical systems driven by additive and also multiplicative noise of a general position. Utilizing mathematical theory of stochastic multiplicative processes we present a universal way to estimate fat, algebraic tails of the state vector probability distributions. This prompts us to introduce and analyze mean-q-power stability criterion, generalizing the mean-square stability criterion, and then juxtapose it to other tools in control.
Original language | English (US) |
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Pages (from-to) | 1718-1723 |
Number of pages | 6 |
Journal | IEEE Control Systems Letters |
Volume | 7 |
DOIs | |
State | Published - 2023 |
Keywords
- Control applications
- fluid flow systems
- stochastic systems
ASJC Scopus subject areas
- Control and Systems Engineering
- Control and Optimization