in this paper, the driver with antiwindup and fuzzy high-performance and robust pi controller has been suggested for permanent magnet synchronous motor (pmsm). this controller is suggested for the design of the robust driver for three phase pmsm and the cost reduction of its control system. it’s useful for the industrial application and automation and ultimately speed control and the improvemen...

in this project guidance and control of underwater robot, including three engines and propeller attached to it, by fuzzy control has been investigated. fuzzy control is done based on human experience and requiered laws. the robot can also be controlled and guided by the user. this robot may be used in sea or swimming pool environment for finding goal point and locate in desired direction. in ad...

Fuzzy control is a methodology that translates the experience of human operators, experience that is usually described by using words of natural language like “small”, “a little bit”, etc., into a precise control strategy. This chapter gives an introduction to this methodology.

This paper deals with the necessity of changing the current approach to teaching mathematics and new, fuzzy control based models in higher education in engineer training, mainly based on the experiences gained at the Polytechnical Engineering College of Subotica.

The continuous spraying was adopted by most of spraying pesticide systems, which can not accord to the extent and the characteristic change of targets to automatically regulate dose of drugs. This way not only resulted in waste of pesticides, but also caused pollution of environment. The designing studied the variable spraying pesticide system of real-time, which based sensory technology, at th...

The main objective for the research presented in this special issue is to advance theoretical basis in soft computing, for the purpose of improving applications. Why is this theoretical research needed? Because soft computing in general (and intelligent control and decision making in particular) are, in many aspects, still an art. To make this methodology easier to apply, we must use the experi...

This note points out that some results in the paper (International Journal of Approximate Reasoning 46 (2007) 109–119) are incorrect. 2008 Elsevier Inc. All rights reserved.

When controlling Takagi-Sugeno fuzzy systems, verification of some sector conditions is usually assumed. However, setpoint changes may alter the sector bounds. Alternatively, setpoint changes may be considered as an offset addition in many cases, and hence affine Takagi-Sugeno models may be better suited to this problem. This work discusses a nonconstant change of variable in order to carry out...

In this paper we describe a new control laboratory course at The Ohio State University. Students execute a series of laboratory exercises, for a variety of processes, implementing fuzzy control, adaptive fuzzy control, and other intelligent control techniques, with a particular focus on fuzzy control. Fully instrumented independent testbeds in the laboratory emphasize several sensing and actuat...