Literature DB >> 11017467

Information-theoretic limits of control

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Abstract

Fundamental limits on the controllability of physical systems are discussed in the light of information theory. It is shown that the second law of thermodynamics, when generalized to include information, sets absolute limits to the minimum amount of dissipation required by open-loop control. In addition, an information-theoretic analysis of control systems shows feedback control to be a zero sum game: each bit of information gathered from a dynamical system by a control device can serve to decrease the entropy of that system by at most one bit additional to the reduction of entropy attainable without such information. Consequences for the control of discrete state systems and chaotic maps are discussed.

Year:  2000        PMID: 11017467     DOI: 10.1103/PhysRevLett.84.1156

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  7 in total

1.  Perception-action loops of multiple agents: informational aspects and the impact of coordination.

Authors:  Philippe Capdepuy; Daniel Polani; Chrystopher L Nehaniv
Journal:  Theory Biosci       Date:  2011-11-26       Impact factor: 1.919

2.  Information: currency of life?

Authors:  Daniel Polani
Journal:  HFSP J       Date:  2009-09-08

3.  Semantic information, autonomous agency and non-equilibrium statistical physics.

Authors:  Artemy Kolchinsky; David H Wolpert
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

4.  Local non-equilibrium thermodynamics.

Authors:  Lee Jinwoo; Hajime Tanaka
Journal:  Sci Rep       Date:  2015-01-16       Impact factor: 4.379

5.  Information Transfer Among the Components in Multi-Dimensional Complex Dynamical Systems.

Authors:  Yimin Yin; Xiaojun Duan
Journal:  Entropy (Basel)       Date:  2018-10-09       Impact factor: 2.524

6.  Generating spatiotemporal joint torque patterns from dynamical synchronization of distributed pattern generators.

Authors:  Alexandre Pitti; Max Lungarella; Yasuo Kuniyoshi
Journal:  Front Neurorobot       Date:  2009-10-29       Impact factor: 2.650

7.  Keep your options open: an information-based driving principle for sensorimotor systems.

Authors:  Alexander S Klyubin; Daniel Polani; Chrystopher L Nehaniv
Journal:  PLoS One       Date:  2008-12-24       Impact factor: 3.240

  7 in total

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