Encyclopedia of Machine Learning and Data Mining

Editors: Claude Sammut, Geoffrey I. Webb

Locally Weighted Regression for Control

  • Jo-Anne Ting
  • Franziska Meier
  • Sethu Vijayakumar
  • Stefan Schaal
Living reference work entry
DOI: https://doi.org/10.1007/978-1-4899-7502-7_493-1

Synonyms

Definition

This entry addresses two topics: learning control and locally weighted regression.

Learning control refers to the process of acquiring a control strategy for a particular control system and a particular task by trial and error. It is usually distinguished from adaptive control (Aström and Wittenmark 1989) in that the learning system is permitted to fail during the process of learning, resembling how humans and animals acquire new movement strategies. In contrast, adaptive control emphasizes single-trial convergence without failure, fulfilling stringent performance constraints, e.g., as needed in life-critical systems like airplanes and industrial robots.

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Recommended Reading

  1. Aström KJ, Wittenmark B (1989) Adaptive control. Addison-Wesley, ReadingGoogle Scholar
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  13. Ting J (2009) Bayesian methods for autonomous learning systems. Phd Thesis, Department of Computer Science, University of Southern CaliforniaGoogle Scholar
  14. Ting J, Kalakrishnan M, Vijayakumar S, Schaal S (2008) Bayesian kernel shaping for learning control. In: Proceedings of advances in neural information processing systems, Vancouver, vol 21. MIT Press, pp 1673–1680Google Scholar
  15. Todorov E, Li W (2004) A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems. In: Proceedings of 1st international conference of informatics in control, automation and robotics, SetúbalGoogle Scholar
  16. Vijayakumar S, D’Souza A, Schaal S (2005) Incremental online learning in high dimensions. Neural Comput 17:2602–2634MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Jo-Anne Ting
    • 1
  • Franziska Meier
    • 2
  • Sethu Vijayakumar
    • 3
    • 4
  • Stefan Schaal
    • 5
    • 6
  1. 1.University of EdinburghEdinburghUK
  2. 2.University of Southern CaliforniaLos AngelesUSA
  3. 3.University of EdinburghEdinburghUK
  4. 4.University of Southern CaliforniaLos AngelesUSA
  5. 5.Max Planck Institute for Intelligent SystemsStuttgartGermany
  6. 6.Computer ScienceUniversity of Southern CaliforniaLos AngelesUSA