Title :
Hybrid control of spherical orientation
Author :
Mayhew, Christopher G. ; Teel, Andrew R.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of California, Santa Barbara, CA, USA
Abstract :
We propose a hybrid controller ensuring robust global asymptotic stability of a desired spherical orientation in a kinematic setting-a task that is impossible by continuous or memoryless discontinuous state-feedback due to topological obstructions. The hybrid control structure relies on hysteretically switching between locally stabilizing control laws that are generated by a “synergistic” family of potential functions. We propose a parametrized diffeomorphism as a means of generating such a synergistic family. This construction is accomplished by composing an existing potential function with the diffeomorphism invoked with different parameters, thus generating new potential functions that have different critical behavior. A salient feature of the construction is that it can produce a synergistic family of potential functions from a single potential function.
Keywords :
asymptotic stability; sampled data systems; state feedback; hybrid control structure; locally stabilizing control law; memoryless discontinuous state feedback; parametrized diffeomorphism; potential function; robust global asymptotic stability; spherical orientation; synergistic family; topological obstruction; Asymptotic stability; Hybrid power systems; Kinematics; Noise; Robustness; Switches;
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7745-6
DOI :
10.1109/CDC.2010.5717853