Several cardiovascular diseases are caused from localised abnormal blood flow such as in
the case of stenosis or aneurysms. Prevailing theories propose that the development is …

This paper attempts to propose a new method based on capabilities of artificial neural
networks, in function approximation, to attain the solution of optimal control problems. To do …

We present a class of inexact adaptive multilevel trust-region SQP methods for the efficient
solution of optimization problems governed by nonlinear PDEs. The algorithm starts with a …

In this paper, the ability of fuzzy systems is used to estimate the solution of crisp optimal
control problems. To solve an optimal control problem, first the well-known Euler–Lagrange …

In this paper, a neural network-based optimal control synthesis is presented for distributed
optimal control problems. We deal with solutions of systems controlled by parabolic …

In this work, we present an all-in-one optimization approach suitable to solve complex
optimal control problems with time-dependent nonlinear partial differential algebraic …

We consider the inexact adaptive multilevel SQP-method from [JC Ziems and S. Ulbrich,
SIAM J. Optim., 21 (2011), pp. 1--40] for the efficient solution of optimization problems …

We investigate an a posteriori error analysis of adaptive finite element approximations of
linear-quadratic boundary optimal control problems under bilateral box constraints, which …

We present a class of adaptive multilevel trust-region methods for the efficient solution of
optimization problems governed by time-dependent nonlinear partial differential equations …

This paper is concerned with distributed optimal control problem. An adaptive critic neural
networks solution is proposed to solve optimal distributed control problem for systems …