Skip to Main content Skip to Navigation
Conference papers

Direct adaptive fuzzy control for a class of nonlinear systems with unknown control gain sign

Abstract : This paper proposes a novel direct adaptive fuzzy control scheme for a class of uncertain SISO nonlinear systems with unknown control gain sign. Within this scheme, a fuzzy system is used to approximate an unknown ideal controller which can achieve the control objective. The adjustable parameters of the fuzzy system are updated online using the error between the unknown ideal controller and the fuzzy controller. Differently from most previous works, the Nussbaum function technique is not used to deal with the unknown control gain sign. In fact, in this paper, the unknown control gain sign is considered as an unknown constant parameter and it is identified online by an appropriate adaptation law. The stability of the closed-loop system is performed using a Lyapunov approach. Simulation results are provided to verify the effectiveness of the proposed design.
Document type :
Conference papers
Complete list of metadata

https://hal-uphf.archives-ouvertes.fr/hal-03411760
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Tuesday, November 2, 2021 - 3:07:18 PM
Last modification on : Wednesday, November 3, 2021 - 3:52:59 AM

Identifiers

Collections

Citation

Salim Labiod, Thierry-Marie Guerra. Direct adaptive fuzzy control for a class of nonlinear systems with unknown control gain sign. 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2016, Vancouver, Canada. pp.380-385, ⟨10.1109/FUZZ-IEEE.2016.7737712⟩. ⟨hal-03411760⟩

Share

Metrics

Record views

7