a new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. we use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. then, we linearized this identified model at each sampling time to have an approximate linear time varying system. in order to stabilize...

in previous studies we first concentrated on utilizing crisp simulationto produce discrete event fuzzy systems simulations. then we extendedthis research to the simulation of continuous fuzzy systems models. in this paperwe continue our study of continuous fuzzy systems using crisp continuoussimulation. consider a crisp continuous system whose evolution depends ondifferential equations. such a ...

The design and implementation of adaptive systems for accessing information is a sophisticated task. Different models have been proposed to build systems that adapt to the user reducing the complexity in the information browsing process, saving user time and offering personalized interfaces. The work described in this paper, named WAY-Z39.50, is an example of fuzzy adaptive system specially bui...

An intelligent control scheme for fan coil air-conditioning systems has been put forward in order to overcome the shortcomings of the traditional proportion-integral-derivative (PID) control scheme. These shortcomings include the inability of anti-interference and large inertia. An intelligent control test rig of fan coil air-conditioning system has been built, andMATLAB/Simulink dynamics simul...

* 0-7803-7952-7/03/$17.00  2003 IEEE. Abstract Future robots need a transparent interface that regular people can interpret, such as an emotional human-like face. Moreover, such robots must exhibit behaviors that are perceived believable and life-like. In this work we will propose the use of fuzzy logic for effectively constructing the whole behavior system of these robots. This will not only ...

In contrast to the symbolic approach, neural networks seldom are designed to explain what they have learned. This is a major obstacle for its use in everyday life. With the appearance of neuro-fuzzy systems which use vague, human-like categories the situation has changed. Based on the well-known mechanisms of learning for RBF networks, a special neuro-fuzzy interface is proposed in this paper. ...

The way human beings communicate is contextdependent and it is not easily reproduced on traditional computer systems. We propose combined advances in Context-aware Computing and Fuzzy Databases with the aim of producing more intelligent, flexible and personalized systems. We focus on the interaction of users with a Database System where contextual data could affect the output. We present a deve...

The automobile car cabin is complex man –machine interface. Two main goals of Heating Ventilation and Air conditioning System is providing thermal comfort and save energy. Comfort is a subjective feeling and hard to model mathematically. This is because thermal comfort is influenced by many variables such as temperature, relative humidity, air velocity and radiation. Aim of this paper is to des...

Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during donning and doffing. Predicting the in-socket residual limb temperature by monitoring the temperature between socket and liner rather than skin and...

Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during donning and doffing. Predicting the in-socket residual limb temperature by monitoring the temperature between socket and liner rather than skin and...