[LIVRE][B] Robust control design with MATLAB®
DW Gu, P Petkov, MM Konstantinov - 2005 - books.google.com
Robustness is often of crucial importance in control system design. Real engineering
systems are vulnerable to external disturbance and measurement noise and there are …
systems are vulnerable to external disturbance and measurement noise and there are …
[LIVRE][B] Model reduction for control system design
G Obinata, BDO Anderson - 2012 - books.google.com
Modern methods of filter design and controller design often yield systems of very high order,
posing a problem for their implementation. Over the past two decades or so, sophisticated …
posing a problem for their implementation. Over the past two decades or so, sophisticated …
A new frequency-weighted balanced truncation method and an error bound
In this paper, a new frequency-weighted model reduction method with an a priori error
bound is proposed. The method is a generalization of Enns' technique (1984) and yields …
bound is proposed. The method is a generalization of Enns' technique (1984) and yields …
A frequency weighted model order reduction technique and error bounds
A new frequency weighted technique for balanced model reduction is proposed. The
proposed technique not only provides stable reduced order models for the case when both …
proposed technique not only provides stable reduced order models for the case when both …
Frequency limited model reduction techniques with error bounds
The main issue with the pioneer frequency limited interval Gramian-based technique by
Gawronski and Jaung is that it yields unstable reduced order models. There exist some …
Gawronski and Jaung is that it yields unstable reduced order models. There exist some …
[LIVRE][B] Signals and systems with Matlab applications
ST Karris - 2003 - books.google.com
This text contains a comprehensive discussion of continuous and discrete time signals and
systems with many examples from MATLAB--software used to write efficient, compact …
systems with many examples from MATLAB--software used to write efficient, compact …
Development of frequency weighted model reduction algorithm with error bound: Application to doubly fed induction generator based wind turbines for power system
The state-space representations grant a convenient, compact, and elegant way to examine
the induction and synchronous generator-based wind turbines, with facts readily available …
the induction and synchronous generator-based wind turbines, with facts readily available …
Stability preserving model reduction technique for 1-D and 2-D systems with error bounds
2-D state-space models are hard to deal with due to the complex structure; furthermore,
simulation, analysis, design, and control will become more complicated when its order …
simulation, analysis, design, and control will become more complicated when its order …
A frequency limited interval Gramians-based model reduction technique with error bounds
A balanced model reduction technique that is based on frequency limited interval Gramians
is proposed. The technique provides stable models and also yields frequency response …
is proposed. The technique provides stable models and also yields frequency response …
Confined frequency-interval Gramian framework-based balanced model reduction
Some of the existent frequency-limited model reduction techniques result in unstable
reduced-order models (ROMs). Further, the ROMs of a few methods differ significantly from …
reduced-order models (ROMs). Further, the ROMs of a few methods differ significantly from …