Input design is the process of designing informative inputs which maximizes the information
about system dynamics using minimal cost and resources in a system identification …

Identification of uncertainty bounds in robust control design is known to be a critical issue
that attracts the attention of research in robust control field recently. Nevertheless, the …

The aim of this paper is to design a band-limited optimal input with power constraints for
identifying a linear multi-input multi-output system, with nominal parameter values specified …

We develop a tractable algorithms for finding the optimal power spectral density of the
Gaussian input excitation for identifying a Wiener model. This problem is known as a difficult …

This paper extends recent results on minimum variance input signal design for identification
of Finite Impulse Response (FIR) models to the Output Error (OE) system identification case …

Abstract Frequency Response Functions (FRFs) are essential for motion control design of
complex mechatronic systems. The aim of this paper is to develop Optimal Experiment …

In this paper we investigate the problem of de-signing an input signal for a Multi-Input Multi-
Output plant to minimize a control-oriented criterion. By employing Ljung's asymptotic (in …

ScienceDirect Page 1 IFAC PapersOnLine 54-7 (2021) 595–600 ScienceDirect Available
online at www.sciencedirect.com 2405-8963 Copyright © 2021 The Authors. This is an …

This article provides a framework for robust performance analysis of linear time-invariant
uncertain multivariable systems obtained by classical system identification methods. The …

In this paper, we consider optimal experiment design with amplitude constraints for the case
of a multisine excitation. The output amplitude constraint is robustified using an uncertainty …