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Abstract
We present control design for strict-feedback systems with box constraints on all of the states. A Barrier Lyapunov Function (BLF) is used to ensure that the states do not transgress the box constraints. Based on BLF-based backstepping, we show that asymptotic output tracking is achieved without violation of any constraint, provided that the initial states and control parameters are feasible. We also establish sufficient conditions to ensure feasibility, without the need for precise knowledge of the initial states, and provide an algorithm to check them offline. In the presence of parametric uncertainties, BLF-based adaptive backstepping prevents the states from transgressing the constrained region during the transient stages of online parameter adaptation. The performance of the BLF-based control is illustrated with a numerical example. © 2011 IFAC.
Keywords
Adaptive control, Barrier, Constraints, Lyapunov function, Nonlinear control
Source Title
IFAC Proceedings Volumes (IFAC-PapersOnline)
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Series/Report No.
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Date
2011
DOI
10.3182/20110828-6-IT-1002.03439
Type
Conference Paper