Vision-based tracking using intelligent excitation

DOI10.1080/00207170701874481zbMath1148.93319OpenAlexW2015662206MaRDI QIDQ3536499

Chengyu Cao, Naira Hovakimyan

Publication date: 21 November 2008

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

Full work available at URL: https://doi.org/10.1080/00207170701874481

zbMATH Keywords

trackingadaptiveintelligent excitationvision-based

Mathematics Subject Classification ID

Application models in control theory (93C95) Adaptive control/observation systems (93C40)

Cites Work

• Nonlinear observers for perspective time-invariant linear systems.
• Fast estimation for range identification in the presence of unknown motion parameters
• Improved extended Kalman filter design for passive tracking
• Utilization of modified polar coordinates for bearings-only tracking
• Adaptive nonlinear regulation: estimation from the Lyapunov equation
• Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
• Motion and shape identification with vision and range
• Homogeneous dynamical systems theory
• Intelligent Excitation for Adaptive Control With Unknown Parameters in Reference Input
• 2 1/2 D visual servoing with respect to unknown objects through a new estimation scheme of camera displacement

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