Opening book details…
Can I read Model Reduction for State-space Symmetric Systems on EtoBox?
Model Reduction for State-space Symmetric Systems by W.Q. Liu; V. Sreeram; K.L. Teo is a Engineering article available to read on EtoBox.
What is Model Reduction for State-space Symmetric Systems about?
In this paper, the model reduction problem for state-space symmetric systems is investigated. First, it is shown that several model reduction methods, such as balanced truncation, balanced truncation which preserves the DC gain, optimal and suboptimal Hankel norm approximations, inherit the state-space symmetric property. Furthermore, for single input and single output (SISO) state-space symmetric systems, we prove that the H ∞ norm of its transfer functions can be calculated via two simple formulas. Moreover, the SISO state-space symmetric systems are equivalent to systems with zeros interlacing the poles (ZIP) under mild conditions.
Who reads Model Reduction for State-space Symmetric Systems?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- W.Q. Liu; V. Sreeram; K.L. Teo
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0167-6911)
- Published
- 1998
- Language
- EN
- Field
- Engineering (Physical Sciences)