Signal and Data Processing

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

---

This paper addresses a novel control method adapted with varying time delay to improve NCS performance. A well-known challenge with NCSs is the stochastic time delay. Conventional controllers such as PID type controllers which are just tuned with a constant time delay could not be a solution for these systems. Fuzzy logic controllers due to their nonlinear characteristic which is compatible with these systems are potentially a wise option for their control purpose. Fuzzy logic controller could become adaptive by means of neural networks and beneficial to deal with the varying time delay problem. This novel method suggests an adaptive fuzzy logic controller which has been controlled and adapted through the neural network. The rule-based table of designed fuzzy logic controller rotates in relation to estimated time delay. The amount of rotation is obtained from neural network. The proposed method follows the input easily, despite classical methods which result in an unstable system especially over the large time delays as large as 600 ms.

Keywords: Adaptive Fuzzy Logic Controller, Data Communication Networks, Fuzzy Rule-Table Rotation, Networked Control Systems, Neural Networks.

Full-Text [PDF 2117 kb]   (2025 Downloads)    

Add your comments about this article : Your username or Email:

---

---