Robust deterministic least-squares filtering for uncertain time-varying nonlinear systems with unknown inputs

DOI10.1016/j.sysconle.2018.09.005zbMath1408.93131OpenAlexW2898183715WikidataQ129032922 ScholiaQ129032922MaRDI QIDQ1729063

Mahdi Abolhasani, Mehdi Rahmani

Publication date: 27 February 2019

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2018.09.005

zbMATH Keywords

nonlinear systemsunknown inputsregularized least-squares problemrobust deterministic filteringtwo-stage filtering

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Least squares and related methods for stochastic control systems (93E24)

Related Items (3)

Quadratic covariance‐constrained filtering for linear and non‐linear systems with non‐Gaussian noises ⋮ Simultaneous state and unknown input set‐valued observers for quadratically constrained nonlinear dynamical systems ⋮ State estimation for stochastic time‐varying multisensor systems with multiplicative noises: Centralized and decentralized data fusion

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