Recent developments in learning control and system identification for robots and structuresThis paper reviews recent results in learning control and learning system identification, with particular emphasis on discrete-time formulation, and their relation to adaptive theory. Related continuous-time results are also discussed. Among the topics presented are proportional, derivative, and integral learning controllers, time-domain formulation of discrete learning algorithms. Newly developed techniques are described including the concept of the repetition domain, and the repetition domain formulation of learning control by linear feedback, model reference learning control, indirect learning control with parameter estimation, as well as related basic concepts, recursive and non-recursive methods for learning identification.
Document ID
19920032769
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Phan, M. (NASA Langley Research Center Hampton, VA, United States)
Juang, J.-N. (NASA Langley Research Center Hampton, VA, United States)
Longman, R. W. (Columbia University New York, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1990
Subject Category
Cybernetics
Meeting Information
Meeting: International Conference on the Dynamics of Flexible Structures in Space