Event‐triggered distributed Kalman filter with consensus on estimation for state‐saturated systems
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Publication:6061323
DOI10.1002/rnc.5241zbMath1525.93255MaRDI QIDQ6061323
Ahmad Akbari, Hossein Rezaei, Reza Mahboobi Esfanjani, Mohammad Hossein Sedaaghi
Publication date: 30 October 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Discrete event control/observation systems (93C65) Consensus (93D50)
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A distributed algorithm for state estimation of dynamic coupled and networked systems with cross‐correlated noises ⋮ Event‐triggered resilient distributed extended Kalman filter with consensus on estimation ⋮ Scalable recursive state estimation for nonlinear two‐dimensional complex networks with switching topology ⋮ Resource-efficient and secure distributed state estimation over wireless sensor networks: a survey
Cites Work
- Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
- Nonlinear state estimation under bounded noises
- Input-output finite-time mean square stabilization of nonlinear semi-Markovian jump systems
- A distributed Kalman filter with event-triggered communication and guaranteed stability
- Distributed state estimation in sensor networks with event-triggered communication
- Consensus Under Saturation Constraints in Interconnection States
- Event-Based Recursive Distributed Filtering Over Wireless Sensor Networks
- Asymptotic stability of discrete-time systems with saturation nonlinearities with applications to digital filters
- Networked Fusion Estimation With Bounded Noises
- A variance‐constrained approach to event‐triggered distributed extended Kalman filtering with multiple fading measurements
- Recursive filtering for state‐saturated systems with randomly occurring nonlinearities and missing measurements
- Distributed Kalman Filters With State Equality Constraints: Time-Based and Event-Triggered Communications
- State‐saturated H∞ filtering with randomly occurring nonlinearities and packet dropouts: the finite‐horizon case
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