Reading a book is also kind of better solution when you have no enough money or time to get your own adventure. This is one of the reasons we show the neural fuzzy control systems with structure and parameter learning as your friend in spending the time. For more representative collections, this book not only offers it's strategically book resource. It can be a good friend, really good friend w...

It has been shown that the emotional state of students has an important relationship with learning; for instance, engaged concentration is positively correlated with learning. This paper proposes the Fuzzy Control for Improving Learning (FCIL), the proposed technique induces emotions in the player for supporting the learning process. The fuzzy system analyzes the players' emotional state for co...

This paper is a short overview of our NASA-supported research into the optimal choice of fuzzy control techniques for space exploration problems.

This paper presents a quantitative analysis of evolvability with evolutionary activity statistics in an evolutionary fuzzy system. In general, one can estimate the performance of an evolved fuzzy controller by its fitness. However, it is difficult to explain how its fitness or adaptability has been obtained. Evolutionary activity is used to measure the evolvability of fuzzy rules and explain wh...

Weight control system on the feeder conveyor determines the factor of the quality of products within an industry. The dynamics of the flow rate of material through the feeder conveyor weigh requires a good level of performance controllers. The base of current controllers such as FLC (Fuzzy Logic Controller) requires a certain amount of knowledge and expertise in its design that will make it dif...

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

Fuzzy rule-based systems (FRBS) use the principle of fuzzy sets and fuzzy logic to describe vague and imprecise statements and provide a facility to express the behaviours of the system with a human-understandable language. Fuzzy information, once defined by a fuzzy system, is fixed regardless of the circumstances and therefore makes it very difficult to capture the effect of context on the mea...

paper presented below is analysis of fuzzy logic controller is carried out and proven that it is best suitable for autopilot system design. Modern day aircrafts heavily rely on automatic control systems for most of the functions and there is always a persistent demand for efficient controllers. There are already many control techniques and methods developed in the field of control engineering, ...