Abstract
This article addresses the sampled-data piecewise affine (PWA) filter design problem for Itô stochastic nonlinear systems represented by Takagi-Sugeno fuzzy affine models. An input delay method is used to describe the sample-and-hold behavior of the measurement output. Based on a novel piecewise quadratic Lyapunov-Krasovskii functional, some new results on the robust sampled-data PWA filtering design are proposed through a linearization procedure by using some convexification techniques. Simulation studies on a tunnel diode circuit system, and an inverted pendulum system are given to illustrate the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 3360-3373 |
| Journal | IEEE Transactions on Fuzzy Systems |
| Volume | 29 |
| Issue number | 11 |
| Online published | 4 Sept 2021 |
| DOIs | |
| Publication status | Published - Nov 2021 |
Research Keywords
- Stochastic processes
- Nonlinear systems
- Delays
- Biological system modeling
- Silicon
- Robustness
- Electronic mail
- Convex optimization
- filtering design
- sampled data
- stochastic nonlinear systems
- H-INFINITY CONTROL
- STABILITY ANALYSIS
- STABILIZATION
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