Particle Swarm Optimization for Vehicle Positioning Based on Robust Cubature Kalman Filter

DOI10.1002/asjc.913zbMath1332.93351OpenAlexW1957532056MaRDI QIDQ2789967

BaiGen Cai, Jiang Liu, Yun-Peng Wang

Publication date: 2 March 2016

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.913

zbMATH Keywords

particle swarm optimizationnonlinear filtermulti-sensor information fusionrobust cubature Kalman filtervehicle positioning

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Decentralized systems (93A14) Optimal stochastic control (93E20)

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Cites Work

• Cellular particle swarm optimization
• Recent approaches to global optimization problems through particle Swarm optimization
• Design of \(H_\infty\) robust fault detection filter for nonlinear time-delay systems
• Optimal position and velocity navigation filters for autonomous vehicles
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• ReliableH_∞Filtering for Mixed Time-Delay Systems with Stochastic Nonlinearities and Multiplicative Noises
• Cubature Kalman Filtering for Continuous-Discrete Systems: Theory and Simulations
• An Extended Robust H$_infty$Filter for Nonlinear Constrained Uncertain Systems
• Kalman filters for non-linear systems: a comparison of performance
• Cubature Kalman Filters

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