Robustness of Observers and Kalman-Bucy Filters
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.
KeywordsLoop Transfer Function Noise Uncertainty Plant Uncertainty Loop Transfer Recovery Proportional Observer
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