In practical system identification it is often desirable to simultaneously handle several
objectives and constraints. In some cases, these objectives and constraints are often non …

In practical system identification it is often desirable to introduce additional objectives and
constraints into the identification problem. In some cases, these objectives and constraints …

In practical system identification, process optimization and controller design, it is often
desirable to simultaneously handle several objectives and constraints. In some cases, these …

System identification is a complex optimization problem which has recently attracted the
attention in the field of science and engineering. In particular, the use of infinite impulse …

Dynamic system identification is commonly reduced to an optimization problem which is
complex and multimodal. To find a global optimum of this problem, evolutionary algorithms …

In this chapter, we describe an important class of engineering problem called system
identification which is an essential requirement for obtaining models of system of concern …

Artificial Intelligence (AI) techniques are known for its ability in tackling problems found to be
unyielding to traditional mathematical methods. A recent addition to these techniques are …

This study delves into the realm of system identification, a crucial sub-field in control
engineering, aimed at constructing mathematical models of systems based on input/output …

Most real-time systems are nonlinear in nature, and their optimization is very difficult due to
inherit stiffness and complex system representation. The computational intelligent algorithms …

Two of the steps in system identification are model structure selection and parameter
estimation. In model structure selection, several model structures are evaluated and …