Description

This study focuses on state estimation of nonlinear discrete time systems with constraints. Physical processes have inherent in them, constraints on inputs, outputs, states and disturbances. These constraints can provide

This study focuses on state estimation of nonlinear discrete time systems with constraints. Physical processes have inherent in them, constraints on inputs, outputs, states and disturbances. These constraints can provide additional information to the estimator in estimating states from the measured output. Recursive filters such as Kalman Filters or Extended Kalman Filters are commonly used in state estimation; however, they do not allow inclusion of constraints in their formulation.

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    Date Created
    • 2013
    Resource Type
  • Text
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    Note
    • Partial requirement for: M.S., Arizona State University, 2013
      Note type
      thesis
    • Includes bibliographical references (p. 59-61)
      Note type
      bibliography
    • Field of study: Electrical engineering

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    by Rakesh Joshi

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