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Nonlinear model predictive control for path following problems
DOI:10.1002/rnc.3133.png)
摘要
En 中文
This paper presents a general nonlinear model predictive control scheme for path following problems. Path following problem of nonlinear systems is transformed into a parameter-dependent regulation problem. Sufficient conditions for recursive feasibility and asymptotic convergence of the given scheme are presented. Furthermore, a polytopic linear differential inclusion-based method of choosing a suitable terminal penalty and the corresponding terminal constraint are proposed. To illustrate the implementation of the nonlinear model predictive control scheme, the path following problem of a car-like mobile robot is discussed, and the control performance is confirmed by simulation results. Copyright (c) 2014 John Wiley & Sons, Ltd.
Keyword:
model predictive control
nonlinear systems
path following
feasibility and convergence
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期刊
IF:
3.2
论文数:
7.0K
被引数:
1.4W
机构
引用论文
A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability具有保证稳定性的准无限水平非线性模型预测控制方案
AUTOMATICA
IF5.9

