Title :
Minimizing attention in a motion control context
Author_Institution :
Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
Abstract :
In this paper we motivate the need for an algorithmic solution to the problem of segmenting and representing vector-valued functions of time with the goal of identifying a set of standard parts which can be used as the basis for a efficient description of an entire family. We motivate the use of such an approach in a feedback control context where one can use such efficient descriptions together with concatenation and scaling operations to generate quite general trajectories. Our results include a procedure for jointly specifying feedback gains and open-loop controls leading to the definition of efficient motion control languages.
Keywords :
Liouville equation; closed loop systems; feedback; motion control; principal component analysis; speech processing; Liouville equation; concatenation function; feedback control; feedback gains; motion control languages; open loop controls; principal component analysis; scaling operations; vector valued functions; Algorithm design and analysis; Costs; Differential equations; Feedback control; Merging; Motion control; Open loop systems; Partial differential equations; Robots; Speech;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1271661