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The studying history and present situation of chaos optimization algorithm is summarized and the basic steps of this method are introduced. A new, feasible chaos optimization is presented to nonlinear constrained programming problems. Computing results in an instance show that this algorithm is reliable and applicable to almost all of the problems in multidimensional, nonlinear, complex constrained...
We consider a nonlinear delay-differential system with unknown state-delays. Our goal is to identify these state-delays using experimental data. To this end, we formulate a dynamic optimization problem in which the state-delays are decision variables and the cost function measures the discrepancy between predicted and observed system output. We then show that the gradient of this problem's cost function...
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