Range identification for nonlinear parameterizable paracatadioptric systems
DOI10.1016/j.automatica.2010.03.017zbMath1194.93212OpenAlexW1963929736WikidataQ56935624 ScholiaQ56935624MaRDI QIDQ987641
Enver Tatlicioglu, Darren M. Dawson, Nitendra Nath
Publication date: 13 August 2010
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/11147/2713
Lyapunov methodsnonlinear parameterizationrange identificationmin-max algorithmparacatadioptric systemsvision-based estimation
Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Identification in stochastic control theory (93E12)
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Visually guided ranging from observations of points, lines and curves via an identifier based nonlinear observer
- Range identification for nonlinear parameterizable paracatadioptric systems
- Adaptive control of continuous time systems with convex/concave parametrization
- Single camera based motion and shape estimation using extended Kalman filtering
- RANGE IDENTIFICATION FOR PERSPECTIVE VISION SYSTEMS: A POSITION-BASED APPROACH
- Adaptive control of a class of nonlinearly parameterized plants
- SOME REMARKS ON ADAPTIVE NEURO-FUZZY SYSTEMS
- Lyapunov-Based Range Identification For Paracatadioptric Systems
- Range identification for perspective vision systems
- Parameter convergence in nonlinearly parameterized systems
- A new state observer for perspective systems
- State Observer for a Class of Nonlinear Systems and Its Application to Machine Vision
- A new solution to the problem of range identification in perspective vision systems
This page was built for publication: Range identification for nonlinear parameterizable paracatadioptric systems
