Back to Search
Start Over
TS Fuzzy Observer-Based Controller Design for a Class of Discrete-Time Nonlinear Systems
- Source :
- IEEE Transactions on Fuzzy Systems. 30:555-566
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- This paper presents an observer-based control design approach for a class of nonlinear discrete-time systems. The model nonlinearities are handled in two ways: 1) a Takagi-Sugeno fuzzy representation is used for nonlinearities that depend on measured states, and 2) nonlinearities that depend on unmeasured states are kept in their original form and handled using a slope-bound condition. The observer-based controller design conditions are given as linear matrix inequalities. The approach we propose significantly improves results in the literature by providing less restrictive design conditions. These improvements are illustrated in a detailed analytical and numerical comparison on a synthetic example; while a pendulum-on-a-cart example shows that the approach works both in simulation and in real-time experiments.
- Subjects :
- Controller design
Class (computer programming)
Observer (quantum physics)
Computer science
Applied Mathematics
02 engineering and technology
Fuzzy observer
Discrete time nonlinear systems
Fuzzy logic
Nonlinear system
Computational Theory and Mathematics
Artificial Intelligence
Control and Systems Engineering
Control theory
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Representation (mathematics)
Subjects
Details
- ISSN :
- 19410034 and 10636706
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Fuzzy Systems
- Accession number :
- edsair.doi...........af940803792c4485d06ffe069854a425