This paper aims at taking the reader on a guided tour of the field of identification of
continuous-time systems. It presents a birds eye view of the continuous-time related aspects …

This paper deals with continuous-time system identification using fractional differentiation
models. An adapted version of the simplified refined instrumental variable method is first …

System identification is a well-established field. It is concerned with the determination of
particular models for systems that are intended for a certain purpose such as control …

This paper deals with continuous-time system identification of multiple-input single-output
(MISO) fractional differentiation models. When differentiation orders are assumed to be …

This paper aims at taking the reader on a guided tour of the field of identification of
continuous-time systems. It presents a birds eye view of the continuous-time related aspects …

Digital computing in estimation, control or signal processing for continuous-time systems
requires the use of discrete-time models. While conventional difference equation or z …

Fractional-order systems have proven to be useful to well model diffusion or propagation
phenomena. Recursive or online system identification of continuous-time fractional models …

Models of dynamical systems are required for various purposes in the field of systems and
control. The models are handled either in discrete time (DT) or in continuous time (CT) …

Orthogonal Functions may be divided into two classes. The class of continuous systems and
the discontinuous class of piecewise constant systems. Problems arise because continuous …

The paper presents a new approach towards unbiased estimation of the transfer functions of
continuous-time SISO systems via Markov parameters. A new set of parameters known as …