Back to Search
Start Over
Model reference tracking control for nonlinear systems described by Takagi-Sugeno structure
- Source :
- 2013 IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy System, FUZZ 2013, International Conference on Fuzzy System, FUZZ 2013, Jul 2013, Hyderabad, India. pp.881-888, FUZZ-IEEE
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- International audience; This work concerns the model reference tracking control problem for nonlinear systems represented by Takagi-Sugeno (T-S) models, with a guaranteed L2 performance to attenuate the tracking error for bounded reference inputs. The objective is to make the system states follow as closely as possible the model reference states. The control scheme is based on a parallel distributed compensation controller fed by a state observer for Takagi-Sugeno systems with unmeasurable premise variables. The observer/controller synthesis is formulated in terms of linear matrix inequalities. Systems with noise output measurments are also envisaged with the use of filter. Simulation example are given to illustrate the design procedures and tracking performance of the proposed approach.
- Subjects :
- 0209 industrial biotechnology
Observer (quantum physics)
02 engineering and technology
Filter (signal processing)
Computer Science::Artificial Intelligence
Tracking error
Takagi-Sugeno systems
Nonlinear system
Noise
observer-based control
020901 industrial engineering & automation
Control theory
Bounded function
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
0202 electrical engineering, electronic engineering, information engineering
reference tracking
020201 artificial intelligence & image processing
State observer
[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2013 IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy System, FUZZ 2013, International Conference on Fuzzy System, FUZZ 2013, Jul 2013, Hyderabad, India. pp.881-888, FUZZ-IEEE
- Accession number :
- edsair.doi.dedup.....8a3593c02997f88e0cb038f162235788