Fuzzy control accounts for the biggest industrial success of fuzzy logic. We review an interpretation of Mamdani’s heuristic control approach. It can be seen as knowledge-based interpolation based on input-output points of a vaguely known function. We reexamine two real-world control problems that have been fortunately solved based on this interpretation.

In this paper a control strategy based on a neuro-fuzzy systems have been devised. Two control system have been considered in order to test the method. Satisfactory results have been obtained in both cases.

With the rapid development of intelligent buildings, a lot of researchers have found that it is difficult to establish mathematical model when the problem that energy-saving in water supply system of an intelligent building tank is focused, because that the outflow of the tank volume is volatile when the water is daily living water. In this paper, fuzzy control theory is used to establish a flu...

In this paper, we present a global optimal and stable fuzzy controller design method for both continuousand discrete-time fuzzy systems under both finite and infinite horizons. First, a sufficient condition is proposed which indicates that the global optimal effect can be achieved by the fuzzily combined local optimal controllers. Based on this sufficient condition, we derive a local concept ap...

Fuzzy logic control is a relatively new technology and hence it needs rigorous comparative analyses with other well-established conventional control schemes. Further, fuzzy controller stability analysis is a major hindrance for its popularity among control engineers. This paper shows how stable &zzy controllers may be synthesized for a typical AGV from the perspective of variable structure syst...

In this work, we present a fuzzy systems approach for assessing the relative potential risk associated with computer network assets exposed to attack by vulnerabilities. We use this approach to rank vulnerabilities so that analysts can prioritize their work based on the potential risk exposure of assets and networks. We associate vulnerabilities with individual assets, and therefore networks, a...

This paper explores the stability of a class of feedback fuzzy systems. The class consists of generalized additive fuzzy systems that compute a system output as a convex sum of linear operators. Continuous versions of these systems are globally asymptotically stable if all rule matrices are stable (negative definite). So local rule stability leads to global system stability. This relationship b...

In what case do you like reading so much? What about the type of the genetic fuzzy systems evolutionary tuning and learning of fuzzy knowledge bases book? The needs to read? Well, everybody has their own reason why should read some books. Mostly, it will relate to their necessity to get knowledge from the book and want to read just to get entertainment. Novels, story book, and other entertainin...