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In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It generates data on reaction fluxes based on biomass conservation constraint and then a set of constraints is formulated incorporating weighting coefficients corresponding to concentration of enzymes catalyzing reactions in the pathway...
An engine misfire detection scheme must work accurately under different engine operating conditions and in presence of different kinds of engine misfire patterns. To address these issues, a model based data normalization technique capable of improving the performance of engine misfire detection algorithms is proposed in this paper. Results obtained from a six cylinder engine speed data indicate that...
The real time monitoring and control of resistance spot welds is a problem of critical importance in automotive and many other manufacturing industries. However, till this date, there are no reliable, low-cost, non-destructive techniques for predicting the size and strength of the weld nuggets in real time. This paper investigates the usage of voltage, current, and force data for the above tasks....
This paper proposes a hybrid, multivariable, adaptive model-matching scheme for controlling robotic manipulators and demonstrates its advantages over similar discrete schemes. In the hybrid approach, the controller itself is a continuously adjustable one, but the adaptation mechanism uses discrete algorithms. Thus it offers the advantages of less parameterization and complete freedom in the choice...
A computationally efficient, globally stable, indirect adaptive pole placement scheme for linear, multi-input, multi-output (MIMO) systems is presented here. It is based upon integration of the ideas associated with Canonical Diophantine equations and block processing of input-output data. The global stability result is established under the assumption that the external reference signal consists of...
A proof of global stability of a specific direct adaptive pole placement scheme for linear multivariable systems is presented here. It is based upon the idea of block processing of input-output data. The global stability result is established under the assumption that the external reference signal consists of a sum of at least a specificied minimum number of distinct sinusoids.
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