Event-based Observer and MPC with Disturbance Attenuation using ERM Learning

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2018 European Control Conference (ECC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1894-1899
ISBN (Electronic)9783952426982
ISBN (Print)9783952426999
Publication statusPublished - Jun 2018
Externally publishedYes

Publication series

NameEuropean Control Conference, ECC

Conference

Title16th European Control Conference (ECC'18)
PlaceCyprus
CityLimassol
Period12 - 15 June 2018

Abstract

This paper presents a learning-based approach for disturbance attenuation for a non-linear dynamical system with event-based observer and model predictive control (MPC). Using the empirical risk minimization (ERM) method, we can obtain a learning error bound which is function of the number of samples, learning parameters, and model complexity. It enables us to analyze the closed-loop stability in terms of the learning property, where the state estimation error by the ERM learning is guaranteed to be bounded. Simulation results underline the learning's capability, the control performance and the event-triggering efficiency in comparison to the conventional event-triggered control scheme.

Citation Format(s)

Event-based Observer and MPC with Disturbance Attenuation using ERM Learning. / Yoo, Jaehyun; Nekouei, Ehsan; Johansson, Karl H.

2018 European Control Conference (ECC). Institute of Electrical and Electronics Engineers Inc., 2018. p. 1894-1899 8550289 (European Control Conference, ECC).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review