Work

Neural Network Training Using Closed-Loop Data: Hazards and an Instrumental Variable (IVNN) Solution

Year: 2022

Type: article

Abstract: An increasing trend in the use of neural networks in control systems is being observed. The aim of this paper is to reveal that the straightforward application of learning neural network feedforward controllers with closed-loop data may introduce parameter inconsistency that degrades control performance, and to provide a solution. The proposed method employs instrumental variables to ensure consistent parameter estimates. A nonlinear system example reveals that the developed instrumental variable neural network (IVNN) approach asymptotically recovers the optimal solution, while pre-existing approaches are shown to lead to inconsistent estimates.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2022.07.308

Authors: Johan Kon, Marcel Heertjes, Tom Oomen

Institutions: Eindhoven University of Technology, ASML (Netherlands), Delft University of Technology

Language: English

Topic: Control Systems and Identification

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Topconsortium voor Kennis en Innovatie

OpenAlex ID: W4221155882

FWCI: 0.202

Cites: 24

Cited by: 2

Related to: 10