NTELLIGENT OPTIMIZATION AND SCHEDULING OF NETWORKED CONTROL SYSTEMS USING NEURAL NETWORK
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 4, Issue 11
Abstract
This paper presents the use of Neural Networks (NN) for transmission time scheduling for the Networked Control System (NCS) where a network is widely used to connect sensors and actuators to the control systems. The need to respect typical timing constraints of the applications supported in these systems requires suitable scheduling strategies in order to devise an appropriate sequence for transmission of the information produced by the processes using the communication system. The proposed model for NCS scheduling assesses its computational complexity, pointing out the drastic reduction in the time needed to generate a schedule as compared with the algorithmic scheduling solutions. The applied approach allows real-time NCS scheduling and makes it possible for the scheduling table to adapt the changes in process control features. Finally an on-line scheduling strategy is developed based on the neural model which can achieve real-time adaptation of the scheduling table changes in the manufacturing environment.
Authors and Affiliations
Fatin I. Telchy
Keywords
Related Articles
- EP ID EP143389
- DOI -
- Views 75
- Downloads 0
Red-Black Trees and Internet QoS.
Atomic theory and public-private key pairs have garnered profound interest from both scholars and analysts in the last several years. This result is regularly a confirmed aim but has ample historical precedence. After...
OPTIMISING THE TRAFFIC MOBILITY FOR SUSTAINABLE DEVELOPMENT FOR SALEM CITY
Urban traffic congestion is a recurring problem in large cities which has a negative impact on mobility, environment, local economy and quality of life. An efficient infrastructure for urban mobility is essential...
EFFICIENT ACCESS CONTROL SECURITY ASSURANCE IN CLOUD COMPUTING USING BGKM WITH SHAMIR
Cloud computing relies on restricting discussing of resources to obtain coherence and financial systems of range, just like an application (like the power grid) over a network. The secure transmitting of details among w...
Devanagari Handwritten Numeral Recognition Using Probabilistic Neural Network
In the last half century, the English character recognition was studied and the results were of such type that’s it can produce technology driven applications. But the same approach cannot be used in case of India...
Human Detection Multi-Modal Biometric System
This paper proposes the multimodal biometrics system for identity verification of human being in a very efficient manner by using various traits such as, face, fingerprint, iris, voice and signature. Biometrics ba...