This paper presents a simple adaptive controller for a class of nonlinear systems based on Immersion and Invariance (I&I) approach. The I&I adaptive control theory proposed by Astolfi et.al. has many superior features compared to other conventional certainty-equivalence (CE) adaptive approaches. However, for a class of nonlinear systems which can be described in strict feedback form, the I&I adaptive controller, as well as the back-stepping (BS) controller and the adaptive back-stepping controller, has the problem of “explosion of complexity” caused by the repeated differentiations of virtual controls. That is, the complexity of the controller grows drastically as the order of the system increases. To overcome this problem, a design method of I&I adaptive control via dynamic surface control (DSC) approach is proposed for parametric strict-feedback systems.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
I&I Adaptive Control by DSC Approach for Parametric Strict-Feedback Systems
Keigo Fujimoto,
Keigo Fujimoto
Niigata University, Niigata, Japan
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Makoto Yokoyama
Makoto Yokoyama
Niigata University, Niigata, Japan
Search for other works by this author on:
Keigo Fujimoto
Niigata University, Niigata, Japan
Makoto Yokoyama
Niigata University, Niigata, Japan
Paper No:
DSCC2012-MOVIC2012-8774, pp. 381-386; 6 pages
Published Online:
September 17, 2013
Citation
Fujimoto, K, & Yokoyama, M. "I&I Adaptive Control by DSC Approach for Parametric Strict-Feedback Systems." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 381-386. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8774
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