Subspace Identification of Dynamic Systems presents both the stable
and unstable systems and also looks at the controller design of unstable
systems.
Different kinds of controller designing methods such as equating
coefficients method, pole placement method, synthesis method and
stability analysis method for both stable and unstable systems are
described in details. The conventional identification methods such as
process reaction curve method and optimization methods are illustrated.
The parameter estimation of unstable system by the prediction error
method alongwith the effects of sampling time, the noise level in the
identification of the unstable systems are discussed.
The subspace identification methods are described in detail and the
steps involved in the algorithms, the MATLAB code for the subspace
identification methods such as N4SID, MOESP, CVA and DSR methods are
given. The modified MON4SID method is presented and this method is
evaluated on several simulation case studies involving the stable and
the unstable transfer function models. The experimental application of
the modified MON4SID methods to a magnetic levitation system and an
inverted pendulum system are given.
This book can be used for postgraduate students in chemical,
instrumentation and control engineering, and electrical engineering
disciplines.
