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Joint state and input estimation in dynamical systems under input inequality constraints

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Bayesian framework for simultaneous input/state estimation in structural and mechanical systems
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The zero-order hold in time domain identification: An unnecessary operating premise
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Unbiased minimum-variance linear state estimation
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Unbiased minimum-variance input and state estimation for linear discrete-time systems
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Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
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Unbiased minimum-variance state estimation for linear systems with unknown input
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On the asymptotic stability of minimum-variance unbiased input and state estimation
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Kalman filtering under unknown inputs and norm constraints
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False data injection attack in smart grid cyber physical system: Issues, challenges, and future direction
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Optimal multi-type sensor placement for response and excitation reconstruction
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Practical issues on the applicability of Kalman filtering for reconstructing mechanical sources in structural dynamics
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Maximum correntropy unbiased minimum-variance filter
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Maximum correntropy recursive three-step filter
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An online model-based fatigue life prediction approach using extended Kalman filter
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An augmented Kalman filter for force identification in structural dynamics
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Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors
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Stable force identification in structural dynamics using Kalman filtering and dummy-measurements
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Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics
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A dual Kalman filter approach for state estimation via output-only acceleration measurements
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Joint input-state estimation in structural dynamics
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Verification of joint input-state estimation for force identification by means of in situ measurements on a footbridge
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Sequential Bayesian estimation of state and input in dynamical systems using output-only measurements
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Switching Kalman filter for damage estimation in the presence of sensor faults
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An unscented Kalman filter under unknown input without direct feedthrough for joint input and system identification of structural systems
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Extension of minimum variance estimation for systems with unknown inputs
inferredcites →https://doi.org/10.1016/s0005-1098(96)00217-8openalex-snapshot
Unbiased minimum variance estimation for systems with unknown exogenous inputs
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Filtering and System Identification
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Full-order observers for linear systems with unknown inputs
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Robust two-stage Kalman filters for systems with unknown inputs
inferredcites →https://doi.org/10.1109/tac.2009.2031568openalex-snapshot
New Expressions of 2$\,\times\,$2 Block Matrix Inversion and Their Application
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A Novel Mixture Least Squares Approach for Simultaneous Parameter/State and Unknown Input Estimation
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Secure State Estimation for Continuous-Time Cyber-Physical Systems Under Stochastic Attacks and Faults
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Distributed Estimation Approach for Tracking a Mobile Target via Formation of UAVs
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Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects
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Experimental validation of the Kalman-type filters for online and real-time state and input estimation
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