A derivative-free distributed filtering approach for sensorless control of nonlinear systems
DOI10.1080/00207721.2010.549594zbMath1307.93428OpenAlexW2030675506MaRDI QIDQ5497451
Publication date: 4 February 2015
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2010.549594
extended Kalman filtersensor fusioninformation filtersensorless controlextended information filterunscented information filterrobotic visual servoingmulti-cameras system
Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10)
Related Items (6)
Cites Work
- Unnamed Item
- Extended Kalman and particle filtering for sensor fusion in motion control of mobile robots
- Fuzzy model validation using the local statistical approach
- Distributed full-order optimal fusion filters and smoothers for discrete-time stochastic singular systems
- Adaptive observers for single output nonlinear systems
- Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
- Extended Kalman filtering for fuzzy modelling and multi-sensor fusion
- Global adaptive observers for nonlinear systems via filtered transformations
- Convergence analysis of the extended Kalman filter used as an observer for nonlinear deterministic discrete-time systems
- A new method for the nonlinear transformation of means and covariances in filters and estimators
- Distributed optimal fusion steady-state Kalman filter for systems with coloured measurement noises
- Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop
- On Unscented Kalman Filtering for State Estimation of Continuous-Time Nonlinear Systems
- Decentralized sigma-point information filters for target tracking in collaborative sensor networks
- Hαtracking of uncertain SISO nonlinear systems: an observer-based adaptive fuzzy approach
This page was built for publication: A derivative-free distributed filtering approach for sensorless control of nonlinear systems