Exploiting input sparsity for joint state/input moving horizon estimation
Sign Up to like & getrecommendations! Published in 2018 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2017.08.024
Abstract: Abstract This paper proposes a novel time domain approach for joint state/input estimation of mechanical systems. The novelty consists of exploiting compressive sensing (CS) principles in a moving horizon estimator (MHE), allowing the observation of… read more here.
Keywords: state input; estimation; input; joint state ... See more keywords
On the structural analysis and optimal input design for joint state and parameter estimation
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DOI: 10.1109/access.2025.3636666
Abstract: This paper addresses the problem of joint state and parameter estimation for nonlinear affine-input systems with positive parameters including the design of a closed-loop optimal input adaptation to increase an identifiability measure for the system.… read more here.
Keywords: joint state; input; system; analysis ... See more keywords
Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities
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DOI: 10.1109/tsipn.2022.3150183
Abstract: In this paper, the joint state and fault estimation problem is investigated for a class of discrete-time complex networks with measurement saturations and stochastic nonlinearities. The difference between the actual measurement and the saturated measurement… read more here.
Keywords: joint state; saturations stochastic; state fault; stochastic nonlinearities ... See more keywords