Despite the popularity, the tuning aspect of proportional–integral-derivative (PID) controllers is a challenge for researchers and plant operators. Various controllers tuning methodologies have been proposed in the literature such as auto-tuning, self-tuning, pattern recognition, artificial intelligence, and optimization methods. Chaotic optimization algorithms as an emergent method of global o...

The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to react on changing characteristics of the waiting jobs. In this paper we present enhancements to the decision process of the self-tuning dynP scheduler and evaluate their impact on the performance: (i) While doing a self-tu...

In real life we often come into contact with nonlinear systems. In this paper we will concentrate on two methods dealing with the problem of nonlinear system control. As the first method we will use the self-tuning regulator and as the second multiple-model control. Both of the methods mentioned above will be verified by computer simulation. As a controlled system a simple cylindrical tank with...

In this paper, a MAS for system identification and process control is presented. In particular, this MAS implements a self-tuning regulator (STR) scheme. It has adopted FIPA specifications because they have become a stronger standard in MAS development and they involve not only agent language specifications but also agent management and conversations. In this work, an Ontology Agent (OA) is inc...

This paper presents a solution to the adaptive-control problem by considering a general discrete-time linear time-invariant dynamic model to be controlled. A new adaptive-control scheme is presented which uses an extension to the generalized secant method of solving a set of linear equations. 1] This new method is shown to signii-cantly outperform the self-tuning regulator in the control of two...

On-line parameter identification is a key problem of adaptive control and also an important part of self-tuning regulator (STR) (Astrom & Wittenmark, 1994). In the widely equipped large-scale systems, distributed systems and remote systems, the plants, controllers, actuators and sensors are connected by communication channels which possess only finite communication capability due to, e.g., data...

The main part of this chapter deals with introducing how to obtain models linear in parameters for real systems and then using observations from the system to estimate the parameters or to fit the models to the systems with a practical view. Karl Friedrich Gauss formulated the principle of least squares at the end of the eighteenth century and used it to determine the orbits of planets and aste...

The design of a self-tuning regulator adaptive controller is presented for Boost converter using Pulse Width Modulation, which has been improved in dynamic with novel Robust Improved Exponential Regressive Least Square identification scheme. Regarding the negative influences harmful disturbances on converters, Minimum Degree Pole Placement technique designed an mechanism online technique, simpl...

<p>The cooperation search algorithm (CSA) duplicates teamwork in every part of the company. This paper presents an approach to setting automatic voltage regulator (AVR) with proportional-integral-derivative (PID) control based on CSA. To get performance proposed method, this uses maximum overshoot, rise time, settling and error. whale optimization (WOA), grasshopper (GOA), particle swarm ...

Nowadays, using advanced vehicle control and safety systems in vehicles is growing rapidly. In this regard, in recent years new control systems, called VDC, have been introduced. These systems stabilize vehicle yaw motion, by yaw moment resulted from tire controlling forces. In this paper, an adaptive optimal controller applied to a vehicle to obtain a satisfactory lateral and yaw stability. To...