Germline genetic mutations underlie various primary immunodeficiency (PID) diseases. Patients with rare PID diseases (like most non-PID patients and healthy individuals) carry, on average, 20,000 rare and common coding variants detected by high-throughput sequencing. It is thus a major challenge to select only a few candidate disease-causing variants for experimental testing. One of the tools c...

In this paper, an artificial-based optimizes and analysis of an optimal proportional, integral, derivative (PID) controller is introduced for a hydro-turbine generator governor. The main purpose, optimization PID controller parameters of hydro-turbine connected to the network for damping output frequency oscillation. In The proposed approach, an optimal and evolutionary based proportional, inte...

This paper presents a systematic ap­proach for the design and implementation of temperature controller us­ing Intelligent Fuzzy-PID Hybrid Controller for Temperature control in Process Industry. The proposed approach employs PID based intelligent fuzzycontroller for determination of the optimal results than PID con­troller parameters for a previously identified process plant. Results indicate t...

This paper proposes a methodology of designing a Maximum Power Point Tracking (MPPT) controller for photovoltaic systems (PV) using a Fuzzy Gain Scheduling of Proportional-Integral-Derivative (PID) type controller (FGS-PID) with adaptation of scaling factors (SF) for the input signals of FGS. The proposed adaptive FGS-PID method is based on a two-level control system architecture, which combine...

Abstract—This paper presents a robust control algorithm based on adaptive proportional-integral-derivative (PID) controller and sliding mode control (SMC) approach. In this paper, the drawbacks of SMC are compensated by adopting an adaptive PID continuous second order sliding mode control approach (APID2SMC) with PID sliding surface. The stability of the system is guaranteed in the sense of Lya...

This chapter presents the design, development and implementation of a novel proposed online-tuning Gain Scheduling Dynamic Neural PID (DNN-PID) Controller using neural network suitable for real-time manipulator control applications. The unique feature of the novel DNN-PID controller is that it has highly simple and dynamic self-organizing structure, fast online-tuning speed, good generalization...

Abstract In this paper, a fuzzy PID with new structure is proposed to solve the load frequency control in interconnected power systems. in this study, a new structure and effective of the fuzzy PID-type Load frequency control (LFC) is proposed to solve the load frequency control in interconnected power systems. The main objective is to eliminate the deviations in the frequency of different area...

This paper addresses an approximation-based anti-windup (AW) control strategy for suppressing the windup effect caused by actuator saturation nonlinearity in proportional–integral–derivative (PID) controlled systems. The effect of actuator constraint is firstly regarded as a disturbance imported to the PID controller. The external disturbance can then be modeled by a linear differential equatio...

Received July 19, 2017 Revised Oct 20, 2017 Accepted Nov 7, 2017 Line tracking robots have been widely implemented in various applications. Among various control strategies, a proportional-integral-derivative (PID) algorithm has been widely proposed to optimize the performance of a line tracking robot. However, the motivation of using a PID controller, instead of a proportional (P) or a proport...

This paper deals with a new controlling mechanism that uses the classical PID and the latest Fuzzy control techniques in harmony to increase the efficiency of the existing methods. The proposed method is better than the previous pre-established methods in literatures in terms of various parameters like the rise time and overshoots values of the response. Basically, here in this design the three...