Functional observability, structural functional observability and optimal sensor placement

Y Zhang, T Fernando… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, new characterizations for functional observability, functional detectability, and
structural functional observability (SFO) are developed, and based on them, the related …

Sequential track fusion in multi-sensor networks of unscented Kalman filters: A case of slip estimation in planetary mobile robots

M Zarei, R Chhabra, M Mottaghi - Acta Astronautica, 2024 - Elsevier
Accurate wheel slip estimation facilitates Wheeled Mobile Robots (WMRs) with improved
localization and traversability monitoring which are crucial to their autonomy in challenging …

Duality between controllability and observability for target control and estimation in networks

AN Montanari, C Duan, AE Motter - arXiv preprint arXiv:2401.16372, 2024 - arxiv.org
Controllability and observability are properties that establish the existence of full-state
controllers and observers, respectively. The notions of output controllability and functional …

[HTML][HTML] Nonlinear functional estimation: Functional detectability and full information estimation

S Muntwiler, J Köhler, MN Zeilinger - Automatica, 2025 - Elsevier
We consider the design of functional estimators, ie, approaches to compute an estimate of a
nonlinear function of the state of a general nonlinear dynamical system subject to process …

Observability blocking for functional privacy of linear dynamic networks

Y Zhang, R Cheng, Y Xia - 2023 62nd IEEE Conference on …, 2023 - ieeexplore.ieee.org
This paper addresses the problem of determining the minimum set of state variables in a
network that need to be blocked from direct measurements in order to protect functional …

[HTML][HTML] Clustering-based average state observer design for large-scale network systems

MUB Niazi, X Cheng, C Canudas-de-Wit… - Automatica, 2023 - Elsevier
This paper addresses the aggregated monitoring problem for large-scale network systems
with a few dedicated sensors. Full state estimation of such systems is often infeasible due to …

Efficient Reward-Shaping for Multiagent Systems

VS Donge, B Lian, FL Lewis… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We address the reward-shaping problem of large-scale multiagent systems (MASs) using
inverse reinforcement learning (RL). The learning MAS does not have prior knowledge of …

On the Popov-Belevitch-Hautus tests for functional observability and output controllability

AN Montanari, C Duan, AE Motter - arXiv preprint arXiv:2402.03245, 2024 - arxiv.org
Functional observability and output controllability are properties that establish the conditions
respectively for the partial estimation and partial control of the system state. In the special …

A sliding mode observer design for the average state estimation in large-scale systems

A Pilloni, D Deplano, A Giua… - IEEE Control Systems …, 2021 - ieeexplore.ieee.org
In this letter the average state estimation problem on a large-scale system with only few
gateway nodes available for measurements is solved as the design problem of a reduced …

Control of average and deviation in large-scale linear networks

D Nikitin, C Canudas-de-Wit… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article deals with the problem of controlling the average state of a large-scale linear
network to a constant reference value. We design an output-feedback controller such that no …