In order to improve the identification accuracy of dynamic system, multi-innovation learning algorithm based on PID neural networks is presented, which can improve the online identification performance of the networks. The multi-innovation gradient type algorithms use the current data and the past data that make it more effective than the BP algorithm in view of accuracy and convergence rate. S...

A NEW PI AND PID CONTROL DESIGN METHOD AND ITS APPLICATION TO ACTIVE QUEUE MANAGEMENT OF TCP FLOWS Deniz Üstebay M.S. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Hitay Özbay June 2007 PID controllers are continuing to be used in many control applications due to their simple structures. Design of such controllers for unstable systems with time delays is an active research are...

In this paper, a self-tuning adaptive neural controller strategy for unknown nonlinear system is presented. The system considered is described by an unknown NARMA-L2 model and a feedforward neural network is used to learn the model with two stages. The first stage is learned off-line with two configuration serial-parallel model & parallel model to ensure that model output is equal to actual out...

A two-link robotic manipulator is a Multi-Input Multi-Output (MIMO), highly nonlinear and coupled system. Therefore, designing an efficient controller for this system is a challenging task for the control engineers. In this paper, the Fractional Order Fuzzy Proportional-Integral-Derivative (FOFPID) controller for a two-link planar rigid robotic manipulator for trajectory tracking problem is inv...

This paper presents the application of Fractional Order PID controller as a supplementary controller to improve the dynamics of LFC in multi area deregulated power system. FOPID is a PID controller whose derivative and integral orders are of fractional rather than integer. The extension of derivative and integration order from integer to fractional order provides more flexibility in design of t...

BACKGROUND The CC-chemokines CCL3, CCL4 and CCL5 have been found to block the entry of CCR5-tropic HIV into host cells and to suppress the viral replication in vitro, but the in vivo role of endogenous CC-chemokines in HIV-1 infection is still incompletely understood. METHODOLOGY/PRINCIPLE FINDINGS In this study, the primate host CCL3, CCL4 and CCL5 gene expression was evaluated in response t...

Healthcare and disease detection in early stage is important every human being. Proper optimum of with smart controller done using Particle swarm optimization (PSO) Support Vector Machine (SVM). The research includes the Fuzzy Proportional Integral Derivative (Fuzzy PID) was used support vector machine to classify heart disease. Swarm Optimization designed remove noise introduced Electrocardiog...