Nonlinear model-based predictive control (MBPC) in multi-input multi-output (MIMO) process control is attractive for industry. However, two main problems need to be considered: (i) obtaining a good nonlinear model of the process, and (ii) applying the model for control purposes. In this paper, recen
Constrained fuzzy controller design of discrete Takagi–Sugeno fuzzy models
✍ Scribed by Wen-Jer Chang; Chein-Chung Sun
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 279 KB
- Volume
- 133
- Category
- Article
- ISSN
- 0165-0114
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✦ Synopsis
The motivation for the work presented in this paper results from the need to ÿnd fuzzy controllers with a common observability Gramian for discrete Takagi-Sugeno fuzzy systems. The developed approach is based on the parallel distributed compensation concept. For each rule of the discrete Takagi-Sugeno fuzzy model, the present approach will show a way to parametrize the static linear output feedback control gains for achieving a certain common observability Gramian for all subsystems. A numerical example will be given to illustrate the utility of the proposed technique.
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