Residual Generation in Linear Stochastic Systems - a polynomial approach
A polynomial design algorithm for innovation/residual generation for
fault diagnosis is given. The class of systems considered is
linear stochastic state-space and descriptor systems in both
continuous and discrete time. A new class of residual generators based
on stochastic models is defined and design algorithms are derived. The
algorithms is based on standard operations such as null-space
computation and spectral factorization of polynomial matrices for
which numerically reliable implementations is readily available.
Erik Frisk
Proc. IEEE Conference on Decision and Control,
2001
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