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State feedback using state estimates

  • Louis C. Westphal
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 635)

Abstract

Modern optimal control laws, whether state feedback or open-loop feedback in nature, almost invariably have the control commands based ultimately upon the state variables. In addition, state-space design methods such as pole placement are most easily done using full state feedback. The full state is rarely measured, however, so it is necessary for the engineer to modify the design. A very useful approach to doing this modification is to use state estimates in place of the state variables, with the estimates coming from an observer or Kalman filter. In this chapter we consider some implications of this approach.

Keywords

Kalman Filter State Estimate State Feedback State Feedback Controller Pole Placement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Louis C. Westphal
    • 1
  1. 1.University of QueenslandAustralia

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