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Control of state-constrained nonlinear systems using Integral Barrier Lyapunov Functionals

Tee, Keng Peng, Ge, Shuzhi Sam·2012·2012 IEEE 51st IEEE Conference on Decision and Control (CDC)

Abstract

This paper presents a control design for nonlinear systems with state constraints, based on the use of our newly introduced Integral Barrier Lyapunov Functionals (iBLF). The integral functional allow the mixing of the original state constraints with the errors in a form amenable to stable backstepping control design. This reduces some of the conservatism associated with the use of purely error-based functions with transformed error constraints. We show that, under the proposed iBLF-based control, output tracking error is bounded by an exponentially decreasing function of time, all states always remain in the constrained state space, and that the stabilizing functions and control input are bounded, subject to significantly relaxed feasibility conditions. A numerical example illustrates the performance of the proposed control.

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Crossref · 10.1109/cdc.2012.6426196

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Metadata

Authors
Tee, K. P., & Ge, S. S.
Venue
2012 IEEE 51st IEEE Conference on Decision and Control (CDC)
Publisher
IEEE
Published
2012-12
Pages
3239-3244
OpenAlex
W2079025554
Cited by
253
References
1
FWCI
6.18
Type
conference paper
Language
en
Open access
closed

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