In this paper, a method is introduced for finding gains for all proportional integral derivation (PID) controllers that satisfy a robust performance constraint for a given transfer function of any order with time-delay by using the frequency response. The H-infinity index of additive weight uncertainty on the basis of robust stability condition of closed loop system is first get by small gain t...

In various industrial systems, parameters variation is one of the major problems faced by control engineers now days. To overcome the problem of parameter variations, this paper proposes the hybridization of MIT rule based online tuning of classical PID controllers with Differential Evolution algorithm. The hybridization of two techniques results in the offline as well as online tuning of PID c...

Proportional-Integral-Derivative (PID) control is the most widely used control method in industrial and academic applications due to its simplicity and efficiency. Several different control methods/algorithms have been proposed to tune the gains of PID controllers. However, the conventional tuning methods do not have sufficient performance and simplicity for practical applications, such as robo...

PID controllers are the most popular group of controllers in practical applications. Many theoretical techniques and procedures have been developed for PID controllers with the aim to optimize the function of the control circuits. However, these techniques are seldom applied, except in cases where there are some extreme requirements for the safety and the operational quality of the control loop...

Fuzzy PI controllers are using in the place of linear PI controller with success in process control, assuring better control quality criteria. The paper presents some methods, with a higher grade of generality, to design PI fuzzy controllers, to assure internal and external stability to control systems and better control quality criteria. Families of input-output transfer characteristics and ga...

This paper presents an online two-stage Q-learning based multi-agent (MA) controller for load frequency control (LFC) in an interconnected multi-area multi-source power system integrated with distributed energy resources (DERs). The proposed control strategy consists of two stages. The first stage is employed a PID controller which its parameters are designed using sine cosine optimization (SCO...