Robustness of Observers and Kalman-Bucy Filters

  • Alexander Weinmann


Consider a multivariable dynamic system of order n with input u(t) ∈ Rm and output y(t) ∈ Rr. The system state variable x(t) is an n-vector. Observability and controllability is preassumed. UsuaIly x(t) is not available. If the output y(t) does not provide sufficient information for high-performance control, observers are implemented to estimate either the entire vector or apart of it. In the presence of process noise and/or measurement noise observers are replaced by KaIman filters.


Loop Transfer Function Noise Uncertainty Plant Uncertainty Loop Transfer Recovery Proportional Observer 
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-Verlag Wien 1991

Authors and Affiliations

  • Alexander Weinmann
    • 1
  1. 1.Department of Electrical EngineeringTechnical University ViennaAustria

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