This paper provides a comparison of the performance and the design steps for four robust static output feedback Proportional-Integral-Derivative (PID) controllers. The first one presents an Iterative PID (IPID) that guarantees the stability of the closed-loop system. In the second and the third controllers, Iterative PID based on H2 (IPIDH2) and H∞ (IPIDHI) performances, respectively, are inves...

In order to deal with strong nonlinearity and external interference in the braking process, this paper proposes a robust self-learning PID algorithm based on particle swarm optimization, which does not depend precise mathematical model of controlled object. The function is used adapt diversity runway road surface friction, optimize rate self-learning, control modeling uncertainty disturbance sy...

The most common PID design methods in industry are based on formulas. This article will present some major advantages of instead using the power of computer based softwares for PID controller design. The Matlab based software used in this work was developed in 2007 and derives robust, IAE minimizing, PID controllers. The experiences of using this software are collected in this article and inclu...

We introduce a novel and robust active queue management (AQM) scheme based on a fuzzy controller, called hybrid fuzzy-PID controller. In the TCP network, AQM is important to regulate the queue length by passing or dropping the packets at the intermediate routers. RED, PI, and PID algorithms have been used for AQM. But these algorithms show weaknesses in the detection and control of congestion u...

We ®rst present a novel general-purpose nonlinear PID controller realized via fuzzy PID control that uses our newly-introduced simpli®ed Takagi±Sugeno (TS) rule scheme. Analytical structure of the fuzzy PID controller is derived and its structure is analyzed in relation to the linear PID controller. The unique features of the fuzzy controller are as follows. First, the proportional, integral an...

This Paper deals with the tuning of PID controller using conventional methods and computational technique like Part icle Swarm Optimizat ion. The main objective is to prove that the response obtained is more stable, robust and efficient when PID is tuned using PSO. The obtained value is compared with conventional methods like Ziegler Nicholas, Cohen-coon and Internal Model Control. The cr iteri...

Despite the application of advanced control technique to improve the performance of electro-hydraulic position control, Proportional Integral Derivative (PID) control scheme seems able to produce satisfactory result. PID is preferable in industrial applications because it is simple and robust. The main problem in its application is to tune the parameters to its optimum values. This study will l...

A neural network based robust control system design for the yaw angle of autonomous underwater vehicle (AUV) is presented in this paper. Two types of control structure were used to control prescribed trajectories of an AUV. The results of the simulation showed that the proposed neural network based robust control system has superior performance in adapting to large random disturbances such as w...