Equality-constrained state estimation for hybrid systems
DOI10.1049/IET-CTA.2018.6374zbMATH Open1544.93775MaRDI QIDQ6598643
Bruno Otávio Soares Teixeira, Alexandre R. Mesquita, Wendy Y. Eras-Herrera
Publication date: 5 September 2024
Published in: IET Control Theory \& Applications (Search for Journal in Brave)
linear systemsnonlinear systemshybrid systemsstate estimationstochastic processesnonlinearitysufficient conditionstarget trackingKalman filtersprocess dynamicslinearitylinear equality constraintfiltering theorycontinuous systemsoperating modefilter initial conditionsaccurate estimatesstate equality constraintsclassical interacting multiple model algorithm yields state estimatesequality-constrained state estimationIMM filterIMM unconstrained estimatesmode-dependent equality constraintsmode-independent equality-constrained linear casestochastic hybrid dynamical systems
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)
Cites Work
- A multiple model multiple hypothesis filter for Markovian switching systems
- State estimation for linear systems with state equality constraints
- A Systematization of the Unscented Kalman Filter Theory
- State estimation for linear and non-linear equality-constrained systems
- The interacting multiple model algorithm for systems with Markovian switching coefficients
- Gain-Constrained Kalman Filtering for Linear and Nonlinear Systems
- A game theory approach to constrained minimax state estimation
- Some results on linear equality constrained state filtering
- Constrained linear state estimation -- a moving horizon approach
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