Sensor fault detection, isolation (FDI) and accommodation has been investigated along with detection of unknown faults for an automotive engine. Radial basis function (RBF) neural networks are used for fault diagnosis. The RBF network is trained off line with K-means and batch least squares (BLS) algorithms. No fault and fault data are simulated in Matlab for four different sensors e.g. throttl...

The purpose of this paper is to investigate the intertemporal linkages between FDI and disaggregated measures of international trade. We outline a model exemplifying some of these linkages, describe several methods for investigating two-way feedbacks between various categories of trade, and apply them to the recent experience of developing countries. After controlling for other macroeconomic an...

This paper describes a CMOS transconductance element based upon two differential pairs whose outputs are summed to give a linear transfer characteristic. The circuit has been simulated using a 2pm process from MOSIS, and results show that with a single 5V supply, bandwidth in excess of 300MHz, THD below 0.7% for a lV,,k-,,k differential input signal, and dynamic range in excess of 70dB can be a...

the linear multiobjective transportation problem is a special type of vector minimum problem in which constraints are all equality type and the objectives are conicting in nature. this paper presents an application of fuzzy goal programming to the linear multiobjective transportation problem. in this paper, we use a special type of nonlinear (hyperbolic and exponential) membership functions to ...