Title :
Kinematic reducibility of multiple model systems
Author :
Murphey, T.D. ; Burdick, J.W.
Author_Institution :
Eng. & Appl. Sci., California Inst. of Technol., Pasadena, CA, USA
Abstract :
This paper considers the relationship between second order multiple model systems and first order multiple model systems. Such a relationship is important to, among other things, studying path planning for mechanical control systems. This is largely due to the fact that the computational complexity of a path planning problem rapidly increases with the dimension of the state space, implying that being able to reduce a path planning problem from TQ to Q can be helpful. Not surprisingly, the necessary and sufficient condition for such a reduction is that each model constituting a multiple model control system be reducible. We present an extensive example in order to illustrate how these results can provide insight into the control of some specific physical systems.
Keywords :
computational complexity; kinematics; path planning; reduced order systems; state-space methods; computational complexity; kinematic reducibility; mechanical control system; multiple model control system; necessary condition; path planning; sufficient condition; Control system synthesis; Control systems; Equations; Kinematics; Mars; Mechanical systems; Orbital robotics; Path planning; Torque control; Velocity control;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272481