Robust maneuver strategy of observer for bearings‐only tracking

DOI10.1002/ASJC.2101zbMath1432.93074OpenAlexW2943800299WikidataQ127931817 ScholiaQ127931817MaRDI QIDQ5213823

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Publication date: 6 February 2020

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

Full work available at URL: https://doi.org/10.1002/asjc.2101

zbMATH Keywords

robustnessMarkov decision processcubature Kalman filtermaneuver strategy

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Markov and semi-Markov decision processes (90C40) Observers (93B53)

Cites Work

• Optimal quantization methods for nonlinear filtering with discrete-time observations
• A Seventh‐Degree Cubature Kalman Filter
• Improved Pseudolinear Kalman Filter Algorithms for Bearings-Only Target Tracking
• Unmanned Aerial Vehicles Formation Using Learning Based Model Predictive Control
• Effect of course maneuvers on bearings-only range estimation
• On-line quantization in nonlinear filtering

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