At the end of the 19th century Liouville and Riemann introduced the notion of a fractional-order derivative, and in the latter half of the 20th century the concept of the so-called Grünewald-Letnikov fractional-order discrete difference has been put forward. In the paper a predictive controller for MIMO fractional-order discrete-time systems is proposed, and then the concept is extended to nonl...

A three-term (proportional plus integral plus derivative, PID) fuzzy logic controller (FLC) algorithm have been and continue to be a very active and fruitful research field since early pioneered work on fuzzy controller. In this study, we propose taxonomy of various methods to design three-term FLC. Two applications representing second-order systems and third-order systems were used to analyze ...

This paper studies the H∞ control problem for a class of Takagi-Sugeno (T-S) fuzzy neutral systems with time-varying delays and actuator saturation, where the delay in neutral-type term includes a fast-varying case (i.e., the derivative of delay is more than 1), which is never considered in current literature for this systems. The new LMI-based delaydependent H∞ control results for this systems...

Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) based upon the models of biogeography, which describe the relationship between habitat suitability and the migration of species across habitats. In this work, we apply BBO to the problem of tuning the fuzzy tracking controller of mobile robots. This is an extension of previous work, in which we used BBO to tune a proportion...

This paper studies the control of the ball-and beam system by different controllers. Many nonlinear controllers for ball and beamsystem can achieve in some cases asymptotic stability.On the other hand, many laboratories useProportional Integral Derivative control for the ball and beam system, but theory analysisis based on a linear approximate model. Therefore, some methods of controlfor the ba...

Original scientific paper This paper presents the use of proportional integral (PI), proportional integral derivative (PID) and fuzzy logic (FL) speed controller techniques in the permanent magnet synchronous motor (PMSM) drive. PI and PID controllers require precise linear mathematical model of the system. On the other hand, FL needs linguistic description of the system. The dynamic response o...

A hybrid classical/fuzzy control methodology is presented to integrate low-level machine control and high-level supervision for the steam temperature and water level processes of the power plant boiler. The coupling between two spraying systems can be reduced using hybrid coarse-fine intelligent control with qualitative decoupling strategy. A hierarchical fuzzy system is used for the water leve...

This study develops and implements a design of the Fuzzy Proportional Integral Derivative with filtered derivative mode (Fuzzy PIDF) for Load Frequency Control (LFC) two-area interconnected power system. To attain optimal values proposed structure’s parameters which guarantee best possible performance, Bees Algorithm (BA) other optimisation tools are used to accomplish this task. A Step Perturb...

Diabetes therapy is normally based on discrete insulin infusion that uses long-time interval measurements. Nevertheless, in this paper, a continuous drug infusion closed-loop control system was proposed to avoid the traditional discrete approaches by automating diabetes therapy. Based on a continuous insulin injection model, two controllers were designed to deal with this plant. The controllers...

This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Vague Inference System (ANVIS). An Adaptive Vague Set Based Controller Power System Stabilizer (AVCPSS) has been evaluated. This AVCPSS is capable of providing appropriate stabilization signals over a broad range of operating conditions and disturbances. A Vague Controller (VC) is synthesized by using ...