Optimal control of a ball and beam nonlinear model based on Takagi-Sugeno fuzzy model
- Adánez García-Villaraco, José Miguel
- Al-Hadithi, Basil M.
- Jiménez Avello, Agustín
- Matía Espada, Fernando
Publication date
January 2017
DOI Publisher
Springer Science and Business Media LLC ISSN
2194-5357 Citation count (estimate)
1Abstract
In this work, an improved approach for Takagi-Sugeno system identification is used. Linear Quadratic Regulator is applied for an optimal state feedback. Duality theorem and Linear Quadratic Regulator is applied for an optimal state estimation. Simulation results over the ball and beam nonlinear model show a stable closed loop in the full range and good transient response
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