On gramians and balanced truncation of discrete-time bilinear systems

By Liqian Zhang, James Lam, Biao Huang, Guanghong Yang. 2003

73 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/5395e8d30991463ad689087297db40eeecbd1033

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Shengyuan Xu
2. Huijun Gao
3. Changhong Wang
4. James Lam

In Electrical and Electronic Engineering

1. Huijun Gao
2. Shengyuan Xu
3. Changhong Wang
4. James Lam
5. Hamid Reza Karimi

In Statistical and Nonlinear Physics

1. James Lam
2. Huijun Gao
3. Shengyuan Xu
4. Changhong Wang
5. Hamid Reza Karimi
6. Zidong Wang
7. Emilia M. Fridman
8. Uri Shaked

Citations in the corpus

• ℋ︁∞ model reduction for uncertain two‐dimensional discrete systems (2005, methodology): “In recent years, many important results concerning model approximation have been reported, which involve various efficient approaches such as the aggregation method [8], the balanced truncation method [9, 10], and the optimal Hankel norm approximation method [11].”
• H ∞ model reduction for discrete time-delay systems: delay-independent and dependent approaches (2004, methodology): “Many important results on model reduction have been reported, which involve various efficient approaches such as the aggregation method (Lastman 1984), the balanced truncation method (Morre 1981, Zhang et al. 2003 b) and the optimal Hankel norm approximation method (Glover 1984).”