Aiguo Wu
Harbin Institute of Technology
5 Papers
5 Citations
Aiguo Wu is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Matrix (mathematics) & Linear matrix inequality. The author has an hindex of 1, co-authored 5 publications.
Chat about Author
Papers
Robust Energy-to-Peak Estimation for Uncertain Continuous-Time Linear Systems
Aiguo Wu,Liang He,Guang-Ren Duan +2 more
- 23 Oct 2006
TL;DR: In this article, a new LMI representation for L2 -Linfin performance of continuous-time systems is proposed by introducing two extra auxiliary matrices, which allow the use of parameter-dependent Lyapunov function for analysis and synthesis problems.
2
Improved Robust Mixed H 2 /H ∞ Filtering for Uncertain Continuous-Time Systems
Liang He,Aiguo Wu,Guang-Ren Duan +2 more
- 21 Jun 2006
TL;DR: In this paper, a robust mixed H2/Hinfin filtering strategy for linear continuous-time systems with linear fractional uncertainties is presented. But the robustness of the robust matrix inequality (LMI)-based sufficient condition is not considered.
1
Enhanced mixed L/sub 2/ - L/sub /spl infin///H/sub /spl infin// filtering for continuous-time uncertain systems
Liang He,Aiguo Wu,Guang-Ren Duan +2 more
- 08 May 2006
TL;DR: In this paper, new LMI criteria for continuous-time uncertain systems are proposed, which keep the Lyapunov matrices out of any product with the system matrices.
1
Robust L1 Filtering with Pole Constraint in a Disk via Parameter-dependent Lyapunov Functions
Liang He,Guang-ren Duan,Aiguo Wu +2 more
- 01 Oct 2006
TL;DR: In this article, a robust L1 filtering with pole constraint in a disk for continuous-time polytopic uncertain systems is discussed, where the attention is focused on design a linear asymptotically stable filter such that the resulting filtering error system remains robust stable, and has a L1 performance constraint and pole constraint.
1
Improved Robust Mixed 2 H / H f Filtering for Uncertain Continuous-Time Systems *
Liang He,Aiguo Wu,Guang-ren Duan +2 more
- 01 Jan 2006
TL;DR: In this article, a robust mixed 2/H H f filtering strategy for linear continuous-time systems with linear fractional uncertainties is presented, and a less conservative linear matrix inequality (LMI) based sufficient condition is obtained as compared to existing characterizations.