In this paper, we consider the efficient and reliable solution of distributed optimal control problems governed by parametrized elliptic partial differential equations. The reduced basis method is used as a low-dimensional surrogate model to solve the optimal control problem. To this end, we introduce reduced basis spaces not only for the state and adjoint variable but also for the distributed ...

In this paper, sharp a posteriori error estimators are derived for a class of distributed elliptic optimal control problems. These error estimators are shown to be useful in adaptive finite element approximation for the optimal control problems and are implemented in the adaptive approach. Our numerical results indicate that the sharp error estimators work satisfactorily in guiding the mesh adj...

A model free control technique (extremum seeking) is employed to address problems of large-scale systems involving multi-agents in real-time. This thesis focuses on the use of extremum seeking control in a distributed, coordinated and a cooperative fashion to solve distributed control and optimization problems. First, the problem of maximizing the power produced in a wind farm is considered. To...

natural vibration analysis of plates represents an important issue in engineering applications. in this paper, a new and simplify method for vibration analysis of circular and rectangular plates is presented. the design of an effective robust controller, which consistently attenuates transverse vibration of the plate caused by an external disturbance force, is given. the dynamics of the plate i...

The Distributed Constraint Optimization Problem (DCOP) formulation is a powerful tool for modeling multi-agent coordination problems. To solve DCOPs in dynamic environment, Dynamic (D-DCOPs) have been proposed to model the inherent dynamism present many D-DCOPs sequence of static problems by reacting changes environment as agents observe them. Such reactive approaches ignore knowledge about fut...