Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties

Huanhuan Li, Tengfei Liu, Zhong-Ping Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies the measurement feedback control problem of nonlinear systems in the cascaded form with dynamic uncertainties. It is assumed that the dynamic uncertainties are integral input-to-state stable (iISS). A new construction design with set-valued virtual control laws is proposed to deal with the measurement disturbance, and the closed-loop system is transformed into an interconnected system with the subsystem being ISS or iISS. The closed-loop system is proved to be iISS with respect to the measurement disturbance by constructing an iISS Lyapunov function.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-123
Number of pages6
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: Jun 3 2019Jun 5 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
CountryChina
CityNanchang
Period6/3/196/5/19

Fingerprint

Uncertain Nonlinear Systems
Uncertain systems
Feedback Control
Feedback control
Uncertainty
Closed loop systems
Closed-loop System
Disturbance
Lyapunov functions
Interconnected Systems
Large scale systems
Nonlinear systems
Lyapunov Function
Control Problem
Subsystem
Nonlinear Systems
Integral

Keywords

  • Integral ISS
  • Measurement disturbance
  • Nonlinear uncertain systems

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Control and Systems Engineering
  • Control and Optimization

Cite this

Li, H., Liu, T., & Jiang, Z-P. (2019). Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019 (pp. 118-123). [8832438] (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2019.8832438

Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties. / Li, Huanhuan; Liu, Tengfei; Jiang, Zhong-Ping.

Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 118-123 8832438 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, H, Liu, T & Jiang, Z-P 2019, Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties. in Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019., 8832438, Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 118-123, 31st Chinese Control and Decision Conference, CCDC 2019, Nanchang, China, 6/3/19. https://doi.org/10.1109/CCDC.2019.8832438
Li H, Liu T, Jiang Z-P. Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties. In Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 118-123. 8832438. (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019). https://doi.org/10.1109/CCDC.2019.8832438
Li, Huanhuan ; Liu, Tengfei ; Jiang, Zhong-Ping. / Measurement Feedback Control of Nonlinear Uncertain Systems with Integral-ISS Dynamic Uncertainties. Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 118-123 (Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019).
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