The authors introduce stochastic simulation functions for partially observed systems to enable layered control with guaranteed bounds on expected output distances, providing explicit constructions for linear systems using Kalman estimators and demonstrating on aerial robots.
Consistency analysis of subspace identification methods based on a linear re- gression approach
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Layered Control of Partially Observed Stochastic Systems
The authors introduce stochastic simulation functions for partially observed systems to enable layered control with guaranteed bounds on expected output distances, providing explicit constructions for linear systems using Kalman estimators and demonstrating on aerial robots.