The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …

The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …

Jointly identification of the sample delay and the parameters of time-delay discrete-time
ARMAX models are addressed in this article. Like any identified problem, the proposed …

Exhaust gas oxygen sensors are widely used for emission control in internal combustion
engine systems. Due to their working principle and their positioning, these sensors are …

This paper addresses the problem of simultaneous identification of linear discrete time delay
multivariable systems. This problem involves both the estimation of the time delays and the …

Several industrial systems are characterized by high nonlinearities with wide operating
ranges and large set point changes. Identification and representation of these systems …

Purpose The purpose of this paper is to propose a new method for computing validities in
the multimodel approach. Design/methodology/approach The multimodel approach offers …

The evaluation of validities is a fundamental step in the design of the multimodel approach.
Indeed, it is thanks to validities that we estimate the contribution of each base-model in the …

The multimodel approach offers a very satisfactory results in modelling, diagnose and
control of complex systems. In the modelling case, this approach passes by three steps: the …

Modeling of dynamical systems is an important task that cut across many disciplines. Model
has been found to be indispensable for rapid development of new systems, analyses of …