Furthermore, one can use the Newton's stochastic algorithm for recursive minimization of the performance index in (19) [25, 26].
In this article we investigate the unconstrained optimization (minimization) of the performance of a system that is modeled through a discrete-event simulation.
The number of hidden layers and neurons was established by training different feed-forward networks of various topologies and selecting the optimal one based on minimization of the performance function mean square error (MSE).
The inverse problem is posed as a minimization problem of the performance function, which is the sum of square residuals between calculated and observed temperature, by means of a conjugate gradient method employing the adjoint variable method.
At different values of average wind speed, controller synthesis is performed in two ways: one applying the desired values to the stability reserve, and the other requiring the minimization of a performance criterion, aimed at reducing mechanical stress, while the controller parameters are kept in an area that ensures admissible values to the stability reserve.
The performance function minimization problem with polynomial matrix inequalities is then transformed into a problem of minimizing a convex performance function involving standard LMIs.
The concept M-NSC is very important in this paper and it will offer tremendous help in illustrating the performance of (l_{2,0} -minimization and (l_{2,0} -minimization; however, M-NSC is difficult to be candul_{2,p} -minimizationl_{2,p} -minimization
The optimal control problem refers to the minimization of a performance index subject to dynamic constraints on the state variable and the control variable.
The inverse radiation problem is solved through the minimization of a performance function, which is expressed by the sum of square residuals between calculated and observed temperature, utilizing the conjugate gradient method.
The main contributions of the proposed optimizing approach have been revealed in the tuning procedures of all the FLC design parameters through the minimization of a performance index.
