Connection admission control of ATM network using integrated MLP and fuzzy controllers

Ng, Nelson O. L.; Tham, Chen-Khong

doi:10.1016/s1389-1286(99)00124-3

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…In this study, MLP and fuzzy based solution is presented to the problem of call acceptance control in variable bitrate stream in a communication network in asynchronous transfer mode. In MLP, the adaptive learning rule is applied [17]. In this study, an MLP-based video bitrate controller is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Multi-Level Perceptron-Based Controller Design Used in Wind Turbine Output Power Stability

Civelek

2024

Preprint

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Controllers are very used devices in industry. Basically, they can be divided into two main classes, classical and modern controllers. Classical controllers are controllers created in the Proportional Integral Derivative (PID) basic structure. Modern controllers are controllers that have fuzzy logic, neural network and heuristic optimization methods in their inside. In addition, controllers with a hybrid, which are a mixture of classic and modern controllers, can be considered as a third class. In this study, one of the modern control methods, neural network-based, online-trained multi level perceptron (MLP) controller is proposed. In this study, along with online training as new, the error of the controlled system was used to train the MLP network. The application of the developed controller has been used to limit the energy output of the turbine at wind speeds above the rated wind speed by controlling the blade pitch angles of a wind turbine. The simulations were conducted in the Matlab/Simulink environment. The results show that the new MLP controller can successfully control the outputs of the wind turbine.

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Section: Introductionmentioning

confidence: 99%

A Novel Multi-Level Perceptron-Based Controller Design Used in Wind Turbine Output Power Stability

Civelek

2024

Preprint

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“…In fact, such a scheme is useful in terms of identifying the lower bound on the average data loss as well as the upper bound on the signaling overhead. Given the probability-hop forecast value PF t+1 at time t, the instantaneous bandwidth requirement for the next time instant t + 1 denoted by IBP t+1 will be equal to the BW t+1 given by (9).…”

Section: A Instantaneous Bandwidth Provisioning (Ibp)mentioning

confidence: 99%

“…Moreover, they consider the connections to be of equal bandwidth. In recent years, neural network based approach to bandwidth prediction has received some attention [9], [10], [11]. However, none of these works consider the predictive dynamic adjustment of available bandwidth for generically measured traffic data.…”

Section: Introductionmentioning

confidence: 99%

Adaptive bandwidth provisioning envelope based on discrete temporal network measurements

Krithikaivasan

Deka

Medhi³

Ieee Infocom 2004

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Abstract-We propose an adaptive bandwidth provisioning mechanism based on packet-level measurements (done at discrete time intervals) without any assumption on the statistical property of the traffic. Our approach consists of two stages: traffic forecasting, followed by bandwidth estimation. For the first stage, we have developed a Probability-Hop Forecasting algorithm (based on ARIMA model) to forecast traffic based on online traffic measurements in a temporal management information base framework. For the second stage, we present several bandwidth provisioning schemes that allocate or deallocate bandwidth depending on the traffic forecast generated by our forecasting algorithm. We have introduced an utility function (along with other measures) to evaluate the overall effectiveness of our bandwidth provisioning framework. Through the use of real-world data, we have found that our approach works well for highly fluctuating data.

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Hierarchical neuro-fuzzy call admission controller for ATM networks

Chatovich

Oktuğ

Dündar

2001

Computer Communications

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Connection admission control of ATM network using integrated MLP and fuzzy controllers

Cited by 6 publications

References 9 publications

A Novel Multi-Level Perceptron-Based Controller Design Used in Wind Turbine Output Power Stability

A Novel Multi-Level Perceptron-Based Controller Design Used in Wind Turbine Output Power Stability

Adaptive bandwidth provisioning envelope based on discrete temporal network measurements

Hierarchical neuro-fuzzy call admission controller for ATM networks

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