WMR control via dynamic feedback linearization: design, implementation, and experimental validation
By Giuseppe Oriolo, Alessandro De Luca, Marilena Vendittelli. IEEE Transactions on Control Systems Technology, 2002
832 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/a29e0768494466692c363139cd74189903618f7a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- Tracking-error model-based predictive control for mobile robots in real time (2007, background): “: +386 1 4768764; fax: +386 1 4264631.”
- Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots (2006, methodology): “Dynamic feedback linearization has been used for trajectory tracking and posture stabilization of mobile robot systems in chained form [14].”
- Extended Kalman filtering for fuzzy modelling and multi-sensor fusion (2007, methodology): “g ð ^ x (cid:2) ð k ÞÞ ¼ The vehicle is steered by a dynamic feedback linearization control algorithm which is based on PD control [12]: The following initialization is assumed (see figure 8): . vehicle’s initial position in OXY: x (0) ¼ 1.4 m , y (0) ¼ 1.3 m , y (0) ¼ 45.0 8 ; . position of the…”
- Nonminimum-phase zeros - much to do about nothing - classical control - revisited part II (2007, background): “given in [10] and [11], where (x, y) is the position of the center of the rear wheels, θ is the angle between the car’s longitudinal axis and the x-axis, v is the translational velocity of the rear wheels, is the distance between the front and rear wheels, and the control input φ is the steering”