Adaptive Server Load Balancing in SDN Using PID Neural Network Controller

Server and Network Load Balancing in Sdn Content Delivery Datacenter Network

Feeder Load Balancing Using Neural Network

The distribution system problems, such as planning, loss minimization, and energy restoration, usually involve the phase balancing or network reconfiguration procedures. The determination of an optimal phase balance is, in general, a combinatorial optimization problem. This paper proposes optimal reconfiguration of the phase balancing using the neural network, to switch on and off the different...

The adaptive fuzzy designed PID controller using wavelet network

During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of the fuzzy set theory, especially in the realm of the industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the inputoutput relations i.e., accurate mathematical models. The fuzzy...

A Novel Pid-like Neural Network Controller

In this paper, a novel PID-like neural network controller (PIDNNC) is created. It is composed of a neural network with no more than 3 neural nodes in hidden layer, and there are an activation feedback and (or) an output feedback in hidden layer, respectively. This special structure makes the network be able to be a P, PI, PD, or PID controller as needed. The proposed controller weights can be u...

Discrete PID Controller Tuning Using Piecewise-Linear Neural Network

PID controller (which is an acronym to “proportional, integral and derivative”) is a type of device used for process control. As first practical use of PID controller dates to 1890s (Bennett, 1993), PID controllers are spread widely in various control applications till these days. In process control today, more than 95% of the control loops are PID type (Astrom et al., 1995). PID controllers ha...