| HAL-Inria | Publications, software ... of Inria's scientists |
Conference papers
Optimal Control Using Feedback Linearization for a Generalized T-S Model
Abstract : In this paper, a fuzzy feedback linearization is used to control nonlinear systems described by Takagi-Suengo (T-S) fuzzy systems. In this work, an optimal controller is designed using the linear quadratic regulator (LQR). The well known weighting parameters approach is applied to optimize local and global approximation and modelling capability of T-S fuzzy model to improve the choice of the performance index and minimize it. The approach used here can be considered as a generalized version of T-S method. Simulation results indicate the potential, simplicity and generality of the estimation method and the robustness of the proposed optimal LQR algorithm.
Cited literature [12 references]
https://hal.inria.fr/hal-01391348
Contributor : Hal Ifip <>
Submitted on : Thursday, November 3, 2016 - 11:04:31 AM
Last modification on : Thursday, March 5, 2020 - 5:41:16 PM
Long-term archiving on: : Saturday, February 4, 2017 - 1:12:13 PM
Contributor : Hal Ifip <>
Submitted on : Thursday, November 3, 2016 - 11:04:31 AM
Last modification on : Thursday, March 5, 2020 - 5:41:16 PM
Long-term archiving on: : Saturday, February 4, 2017 - 1:12:13 PM
File
978-3-662-44654-6_46_Chapter.p...
Files produced by the author(s)
Licence
Distributed under a Creative Commons Attribution 4.0 International License