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Adaptive Controller Design-Based ABLF for a Class of Nonlinear Time-Varying State Constraint Systems
Abstract
In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback systems with uncertain parameter. The full states of the systems are constrained in the bounded sets and the boundaries of sets are compelled in the asymmetric time-varying regions, i.e., the full state time-varying constraints are considered here. This is for the first time to control such a class of systems. To prevent that the constraints are overstepped, the time-varying asymmetric barrier Lyapunov functions (TABLFs) are employed in each step of the backsstepping design and we also establish a novel control TABLF scheme to ensure the asymptotic output tracking performance. The performances of the adaptive TABLF-based control are verified by a simulation example.
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Metadata
- Authors
- Liu, Y.-J., Lu, S., Li, D., & Tong, S.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Published
- 2017-07
- Volume
- 47
- Issue
- 7
- Pages
- 1546-1553
- ISSN
- 2168-2216 (ISSN-L)
- 2168-2232
- OpenAlex
- W2563423315
- Cited by
- 284
- References
- 62
- FWCI
- 35.07
- Type
- journal article
- Language
- en
- Open access
- closed
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