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Review of Control and Estimation Theory

  • F. Landis Markley
  • John L. Crassidis
Part of the Space Technology Library book series (SPTL, volume 33)

Abstract

The purpose of this chapter is to provide a review of control and estimation theory. It is expected that the reader has some basic knowledge of dynamical systems and probability theory. Several of the concepts shown in this chapter are used throughout the text. First a basic review of system modeling using differential equations is shown. This is followed by linear and nonlinear control theory. Then estimation concepts, such as maximum likelihood and the Kalman filter, are reviewed. The reader is encouraged to read the several cited texts in this chapter for further information.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • F. Landis Markley
    • 1
  • John L. Crassidis
    • 2
  1. 1.Attitude Control Systems Engineering BranchNASA Goddard Space Flight CenterGreenbeltUSA
  2. 2.Mechanical and Aerospace EngineeringUniversity at Buffalo State University of New YorkAmherstUSA

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