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Low-Complexity Tracking Control for p-Normal Form Systems Using a Novel Nussbaum Function
DOI:10.1109/TAC.2021.3088413.png)
摘要
En 中文
This article proposes a low-complexity control design for a class of nonlinear systems in p-normal form whose control directions are completely unknown. The novel contributions, as opposed to the state-of-the-art, of this study lie in the following twofold: to relax the conditional inequality regarding the derivative of Lyapunov function, a novel Nussbaum function with changing frequency is constructed, based on which an improved Nussbaum gain technical lemma is first designed such that closed-loop boundedness can be established for all time, rather than the forward completeness property (boundedness up to any finite time); to further handle nonaffine terms, the concept named separable characteristic is put forward, making the controlled systems more compatible with several general frameworks derived from backstepping-like technique. Thanks to abovementioned benefits, a prescribed performance control methodology is presented without involving any approximation techniques. Theoretical results are demonstrated via numerical simulation.
Keyword:
Low-complexity
Nussbaum function
p-normal form systems
separable characteristic
uniform boundedness
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期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
机构
引用论文
Global asymptotic output tracking of nonlinear second-order systems with power integrators
AUTOMATICA
IF5.9
Nussbaum functions in adaptive control with time-varying unknown control coefficients
AUTOMATICA
IF5.9

