EMMA extracts multiple dynamical parameters from multimodal observations via an LTC network and a physics-constrained loss that enforces known differential equations.
The Unknown Input Observer and its Advantages with Examples
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abstract
This brief memo reviews the theory of Unknown Input Observers (UIO) for state estimation in systems subject to disturbance inputs that are not known a priori. One main advantage of the UIO is that the observer structure naturally decouples the plant inputs from the state estimation process. This advantage is highlighted in three example dynamic systems commonly found in control theory. It is shown that the estimation error for all three systems asymptotically approaches zero by application of the UIO under the influence of dynamic disturbances.
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cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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EMMA: Extracting Multiple physical parameters from Multimodal Data
EMMA extracts multiple dynamical parameters from multimodal observations via an LTC network and a physics-constrained loss that enforces known differential equations.