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Integrator Backstepping using Barrier Functions for Systems with Multiple State Constraints

Ngo, K.B., Mahony, R., Zhong-Ping Jiang·2006·Proceedings of the 44th IEEE Conference on Decision and Control

Abstract

The problem of stabilization for a class of feedback linearizable systems with multiple state constraints is addressed. The design procedure is constructive, and yields a continuous final control law which guarantees that all specified states remain within certain bounds for all time. The achieved bounds on the states are independent of the initial conditions. The procedure entails shaping the control Lyapunov function, and propagating hard-bounds imposed on the pertinent stabilising functions and associated error signals through the steps of the backstepping control design framework.

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Metadata

Authors
Ngo, K. B., Mahony, R., & Jiang, Z.-P.
Venue
Proceedings of the 44th IEEE Conference on Decision and Control
Publisher
IEEE
Published
2006-10-04
Pages
8306-8312
ISSN
0191-2216 (ISSN-L)
OpenAlex
W2153389562
Cited by
509
References
0
FWCI
5.90
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Integrator Backstepping using Barrier Functions for Systems with Multiple State Constraints. https://app.cochat.ai/papers/10.1109/cdc.2005.1583507
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Ngo, K. B., Mahony, R., & Jiang, Z.-P. (2006). Integrator Backstepping using Barrier Functions for Systems with Multiple State Constraints. Proceedings of the 44th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2005.1583507

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.