The closed-loop identification of second-order plus time delay (SOPTD) transfer function
models of multivariable systems is presented based on optimization method using the …

The goal of this paper is on the one hand to give a tutorial on the main ideas of a recently
introduced paradigm for optimal experiment design whose objective is to design the least …

In this paper, the problem of input signal design with the property that the estimated model
satisfies a given performance level with a prescribed probability is studied. The …

In this paper, sufficient conditions for robust output feedback controller design for systems
with ellipsoidal parametric uncertainty are given in terms of solutions to a set of linear matrix …

This paper extends recent work on amplitude-constrained experiment design with a new
strategy for finding feasible solutions based on convex relaxation, randomization, and a new …

Presented in this chapter is a tutorial on the design of input signals for system identification.
The chapter concerns the details of basic optimal experiment design, computational issues …

This paper presents a least-costly experiment design framework for closed-loop
performance diagnosis using prediction error identification. The performance diagnosis …

Small fluctuations caused by random changes of loads exist continuously in power grids,
which are called ambient signals. Using time‐synchronized phasor measurements, the …

The focus of this thesis is to develop an advanced control system for existing and to-be
developed Thermo-Mechanical Pulping (TMP) refining processes. Therefore, the thesis has …

Optimal experiment or input design is the scientific exercise of designing informative
excitation signals for the identification of a real-life dynamic system. In the least costly input …