An approximation procedure for the identiication of a nonlinear boundary heat transfer function in a one phase Stefan problem is presented. Alternatively the problem can be viewed as constructing a feedback control law for the control of the solidiication surface in the Stefan problem. The analysis is based on Hilbert space methods and convex analysis techniques. Numerical results combining two...

A nonlinear Poincare sphere method for measuring polarization-mode dispersion (PMD) using the four-wave mixing (FWM) effect in single-mode optical fibers is presented. This method is based on the FWM-power transfer function on the polarization states of the input signals. Average PMD can be obtained by using this method with measurements in just a narrow optical bandwidth.

This paper investigates supply chain coordination with side-payment contracts. We …rst summarize speci…c side-payment contracts and present our review on the literature that developed general sidepayment schemes to coordinate supply chains. Following our review, we discuss two criteria that a proper side-payment contract must satisfy, and accordingly introduce a decision-dependent transfer paym...

In the case of quadrotors, system identification is a challenging task because quadrotors are inherently unstable exhibit nonlinear behavior and significant coupling. addition to this, quadrotors’ greatly influenced by characteristics coefficients, which very hard measure directly or determine analytically. However, all difficulties listed above known be successfully overcome use artificial int...

in this paper, global uniform exponential stability of perturbed dynamical systemsis studied by using lyapunov techniques. the system presents a perturbation term which isbounded by an integrable function with the assumption that the nominal system is globallyuniformly exponentially stable. some examples in dimensional two are given to illustrate theapplicability of the main results.

An optimal artificial neural network (ANN) has been developed to predict the Nusselt number of non-Newtonian nanofluids. The resulting ANN is a multi-layer perceptron with two hidden layers consisting of six and nine neurons, respectively. The tangent sigmoid transfer function is the best for both hidden layers and the linear transfer function is the best transfer function for the output layer....

Modern robust control techniques require a description of the uncertainty in the plant to be controlled. For lightly damped structures, the most appropriate description of the uncertainty is in terms of interval ranges for parameters such as natural frequencies and damping ratios. What is desired is an algorithm which can determine such interval ranges from noisy transfer function measurements ...