How Can Brain Learn to Control a Nonholonomic System?
Joint Authors
Kato, Shinpei
Kawashima, Ryuta
Goto, Takakuni
Yoshizawa, Makoto
Homma, Noriyasu
Bukovsky, Ivo
Source
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Humans can often conduct both linear and nonlinear control tasks after a sufficient number of trials, even if they initially do not have sufficient knowledge about the system's dynamics and the way to control it.
Theoretically, it is well known that some nonlinear systems cannot be stabilized asymptotically by any linear controllers and we have reported by an f-MRI experiment that different types of information may be involved in linear and nonlinear control tasks, respectively, from a brain function mapping point of view.
In this paper, from a controllability analysis, we still show a possibility that human may use a linear control scheme for such nonlinear control tasks by switching the linear controllers with a virtual constraint.
It is suggested that the proposed virtual constraint can play an important role to overcome a limitation of the linear controllers and to mimic human control behavior.
American Psychological Association (APA)
Homma, Noriyasu& Kato, Shinpei& Goto, Takakuni& Bukovsky, Ivo& Kawashima, Ryuta& Yoshizawa, Makoto. 2010. How Can Brain Learn to Control a Nonholonomic System?. Journal of Robotics،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-508139
Modern Language Association (MLA)
Homma, Noriyasu…[et al.]. How Can Brain Learn to Control a Nonholonomic System?. Journal of Robotics No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-508139
American Medical Association (AMA)
Homma, Noriyasu& Kato, Shinpei& Goto, Takakuni& Bukovsky, Ivo& Kawashima, Ryuta& Yoshizawa, Makoto. How Can Brain Learn to Control a Nonholonomic System?. Journal of Robotics. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-508139
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-508139