Introduction
In Section 4.4 of Chapter 4, the design of reduced-order scalar functional observers for linear systems with unknown inputs has been discussed. The existence conditions have been presented in Proposition 4.3. It has been shown that the design of scalar functional observers for linear systems with unknown inputs is related to solving the following three coupled matrix equations
NL2 − L1A12 − L2A22 = 0, N is Hurwitz (5.1)
F2 = DL2 (5.2)
L1W1 + L2W2 = 0 (5.3)
where F2 ∈ ℝ1×(n − p) is a row matrix, W1 ∈ ℝp×l and W2 ∈ ℝ(n − p)×l are known constant matrices and the pair (A12,A22) is observable. Matrices L1 ∈ ℝq×p, L2 ∈ ℝq×(n − p), D ∈ ℝ1×q and N ∈ ℝq×q (N must be a stable matrix) are unknown. A solution method based on the parametric approach has been presented in Chapter 4 for solving the above three coupled matrix equations.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Trinh, H., Fernando, T. (2012). Functional Unknown Input Observers: Further Results and Applications. In: Functional Observers for Dynamical Systems. Lecture Notes in Control and Information Sciences, vol 420. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24064-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-24064-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24063-8
Online ISBN: 978-3-642-24064-5
eBook Packages: EngineeringEngineering (R0)