This paper proposes a new multi-input-single-output (MISO) system identification methods with fractional models in the errors-in-variables context.

A new methods based on the instrumental variables have been developed for MISO system identification with fractional models in the EIV context. Two cases ...

This paper proposes a new multi-input-single-output (MISO) system identification methods with fractional models in the errors-in-variables context based on ...

This paper deals with system identification for continuous-time multiple-input single-output (MISO) fractional differentiation models. An output error ...

Bibliographic details on MISO fractional systems identification with fractional models in the EIV context.

MISO fractional systems identification with fractional models in the EIV context. Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/IEEEssd ...

Jul 18, 2024 · In this paper, the problem of identifying Multiple-Input-Single-Output (MISO) systems with fractional models from noisy input-output ...

A bias correction method called the bias-eliminated least squares is extended for indirect approach identification of closed-loop system with fractional models.

... MISO fractional systems identification with fractional models in the EIV context. In: 18th International Multi-Conference on Systems, Signals & Devices (SSD), ...

This paper proposes an instrumental variable approach for continuous-time system identification using fractional models with multiple input single output ...