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| Content Provider | IET Digital Library |
|---|---|
| Author | Ding, Da Wei Li, Xiaoli Wang, Youyi Shi, Zhiguo |
| Abstract | This study is concerned with the problem of non-fragile H ∞ filtering for discrete-time non-linear systems in Takagi–Sugeno's form. Additive interval uncertainty that reflects imprecision in filter implementation because of finite word length effects is considered. Based on vertex theory and probabilistic robust approach, deterministic and randomised filtering algorithms are proposed, respectively. Compared with the deterministic algorithm, the randomised algorithm has acceptable computational complexity, especially for high-dimensional systems. Two examples are given to illustrate the effectiveness of the proposed algorithms. |
| Starting Page | 848 |
| Ending Page | 857 |
| Page Count | 10 |
| ISSN | 17518644 |
| Volume Number | 7 |
| e-ISSN | 17518652 |
| Issue Number | Issue 6, Apr (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cta/7/6 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2012.0801 |
| Journal | IET Control Theory & Applications |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Combinatorial Mathematics Computational Complexity Discrete Time Nonlinear System Discrete Time System Filter Implementation Filtering Method in Signal Processing Filtering Theory Finite Word Length Effect Fuzzy Set Theory H∞ Filters H∞ Filter Nonfragile H∞ Fuzzy Filtering Nonfragile H∞ Fuzzy Filtering Nonlinear System Probabilistic Robust Approach Probability Signal Processing Theory Statistics Takagi-Sugeno Vertex Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications |
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