AN ACTIVE NOISE CONTROLLER USING TYPE-2 FUZZY NEURAL NETWORK
This paper presents a feedback active noise control system using type-2 fuzzy neural network. The new features of the proposed system are: firstly we introduce a saturation compensator for the actuator and secondly we use a type 2 fuzzy neural network to estimate the nonlinearity of the secondary path transfer function. Online dynamic back-propagation learning algorithm based on the error gradient descent method is proposed. The condition of convergence of the proposed algorithm is derived using a discrete Lyapunov function. Simulation results show that the proposed method is effective.
Authors who publish with Vietnam Journal of Science and Technology agree with the following terms:
- The manuscript is not under consideration for publication elsewhere. When a manuscript is accepted for publication, the author agrees to automatic transfer of the copyright to the editorial office.
- The manuscript should not be published elsewhere in any language without the consent of the copyright holders. Authors have the right to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of their work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are encouraged to post their work online (e.g., in institutional repositories or on their websites) prior to or during the submission process, as it can lead to productive exchanges or/and greater number of citation to the to-be-published work (See The Effect of Open Access).