Many optimal control problems are characterized by their multiple performance measures
that are often noncommensurable and competing with each other. The presence of multiple …

In recent years, the development of multi-objective optimization techniques for
simultaneously optimizing multiple and conflicting objectives have received wide attention in …

This chapter considers a collection of test optimal control problems that have been applied
to test the efficiency of algorithms for many years. The techniques of comparative testing …

A numerical method for solving optimal control problems is presented in this work. The
method is based on radial basis functions (RBFs) to approximate the solution of the optimal …

In this paper a design method was formulated to deal with robustness and performance
specifications for any MIMO linear controller. The controller tuning procedure was expressed …

This work presents a new decision making criterion for analysis of multiobjective
optimization problems, based on the evaluation of the optimum solutions in the Pareto set …

System identification, in practice, is carried out by perturbing processes or plants under
operation. That is why in many industrial applications a plant-friendly input signal would be …

In this paper an approach based on evolutionary algorithms to find Pareto optimal pair of
state and control for multi-objective optimal control problems (MOOCP)'s is introduced‎.‎ In …

System identification is the process of constructing an accurate and reliable dynamic
mathematical model of the system from observed data and available knowledge. The choice …

System identification, in practice is carried out by perturbing processes or plants in
operation. That is why, in many industrial applications a plant-friendly input signal would be …