Title :
Robust hybrid source-seeking algorithms based on directional derivatives and their approximations
Author :
Mayhew, Christopher G. ; Sanfelice, Ricardo G. ; Teel, Andrew R.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of California, Santa Barbara, CA, USA
Abstract :
A family of hybrid control algorithms is developed that steer a nonholonomic autonomous vehicle to the source of a scalar signal present in the environment. In an idealized setting, we develop a general hybrid control scheme that globally asymptotically stabilizes the vehicle position about the source. Pursuing a practical implementation, a series of perturbations to the family of controllers is introduced, resulting in a semi-global practical stability of the vehicle position about the source. An example of a recently developed conjugate direction-based controller fitting into this family is developed and demonstrated by simulation and experiment.
Keywords :
asymptotic stability; conjugate gradient methods; function approximation; mobile robots; robust control; conjugate gradient direction-based controller; directional derivative function approximation; mobile robot; nonholonomic autonomous vehicle; robust hybrid source-seeking control algorithm; scalar signal source; semiglobal asymptotic stability; Chemical sensors; Current measurement; Mobile robots; Noise measurement; Position measurement; Remotely operated vehicles; Robust control; Robustness; Stability; Working environment noise;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739392