—In this paper the GPC and NGPC model predictive control techniques are applied to a typical plant and compared in terms of computational efficiency. The system identification an...
D. N. Rao, M. R. K. Murthy, D. N. Harshal, S. R. M...
— In any information system, the reducts are useful in classifying data. Janusz Starzyk developed an algorithm for computing reducts using strong equivalence and the law of expan...
In this paper we introduce a finite automaton called partial finite automaton to recognize partial languages. We have defined three classes of partial languages, viz., local pa...
— This paper presents a novel adaptive controller for multimodal systems based on Fuzzy Reference Model Generator (FRMG). The proposed scheme consists of a fuzzy logic switching ...
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
— Using computer simulated tests, this study examined direction-of-motion stereotypes and response times for different configurations of lever controls and circular displays. Qua...
—A hybrid translinear (TL) circuit constituted by two kinds of transistors, bipolar and CMOS transistors, was proposed to control its quiescent current. And a new method was intr...
Realize the operating conditions of a manufacturing plant are essential for providing corresponding actions responsively. This is because all processes are interrelated and a smal...
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
An uncertainty model for an expensive function greatly improves the effectiveness of a design decision based on the use of a less accurate function. In this paper, we propose a met...
J. Umakant, K. Sudhakar, P. M. Mujumdar, C. Raghav...