Nature-inspired metaheuristic algorithms have gained great attention over the last decade
due to their potential for finding optimal solutions to different optimization problems. In this …

Complex systems, which are composed of many interconnected and interactive functional
parts, widely exist in the nature and human society. Significant efforts are needed to be …

We introduce a novel bio-inspired algorithm named Horse Optimization Algorithm (HOA)
which has as primary source of inspiration the hierarchical organization of the horse herds …

Abstract System identification is the field of systems mathematical modeling from
experimental data. In the modeling chain, experiments realization, model structure selection …

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 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 the field of science and engineering, significant attention can be observed recently for
system identification as a complex optimization problem. As the infinite impulse response …

The system identification is crucially important process, which could develop the
mathematical representation of physical system from observed data. In this paper, a new …

Parameters identification is achieved through the minimization of objective function based
on model outputs and the observed data. Because of ever increasing complexity of …

The inverse mathematical modelling problem for a linear dynamic system is considered. The
parameter and initial condition identification were reduced to an optimization problem. The …