Title :
Ellipsoidal motions for applied control: From theory to computation
Author :
Kurzhanski, Alexander B. ; Mesyats, Aleksei I.
Author_Institution :
UC Berkeley, Berkeley, CA, USA
Abstract :
The treatment of problems in control and observation under various types of uncertainty or partial information is often reduced to the description of controlled set-valued dynamics, especially for ellipsoidal-valued tubes. This paper indicates the statement and solutions of target control problems for ellipsoidal-valued motions which have to evolve while avoiding external obstacles and also observing an internal bound that excludes degeneracy of the tubes throughout the motion. The techniques rely on Hamiltonian methods for matrix differential equations. The motivations for such problems include those of reachability, guaranteed state estimation, output feedback control as well as coordinated multiagent team control and distributed observation.
Keywords :
differential equations; distributed control; feedback; matrix algebra; multi-agent systems; multi-robot systems; reachability analysis; state estimation; Hamiltonian methods; applied control; coordinated multiagent team control; distributed observation; ellipsoidal motions; ellipsoidal-valued motions; guaranteed state estimation; matrix differential equations; output feedback control; reachability; target control problems; Differential equations; Electron tubes; Equations; Linear matrix inequalities; Mathematical model; Optimal control; Stacking;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760806