State Space Models 7 - Diagonal canonical form
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Description
Canonical forms can be useful for giving insight into behaviours and also for feedbacl design. A common canonical form is the diagonal one. This resource shows how such a form can be derived from the partial fraction expansion of a transfer function, or an eigenvalue/vector decomposition of the state transformation matrix. There us a brief discussion of the differences that arise with repeated roots.
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Published 05/11/16
Goes through in real time the solution of questions on creation of state space models from ODEs and transfer functions. Also conversions back to transfer function from a state space model and use of a similarity transform.
Published 05/11/16
This resource shows how one can form a state space model from a transfer function. The process is analogous to that used for ODEs but with the extra subtlety of allowing more complex numerators than a constant. The resource gives the controllable canonical form only as this can be constructed by...
Published 05/11/16