具有未知非线性增长率的不确定前馈非线性系统的全局输出调节

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Le Chang, Xiangbo Zhang
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引用次数: 0

摘要

针对一类非线性项具有未知输入依赖率的前馈非线性系统,提出了一种输出调节控制器的设计方法。该速率的完全未知性质给控制设计带来了重大挑战,使现有的自适应和时变方法无效。为了解决这些挑战,我们首先在输入上引入一个界,并将非线性条件转换为具有未知常数速率的等效情况。随后,我们开发了时变和自适应两种方法来设计控制器。通过严格的数学分析,我们证明了在所提出的控制框架下可以实现调控目标。通过实例验证了所设计控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global Output Regulation for Uncertain Feedforward Nonlinear Systems With Unknown Nonlinear Growth Rate

This paper proposes a method for designing an output regulation controller for a class of feedforward nonlinear systems, where the nonlinear terms exhibit an unknown input-dependent rate. The completely unknown nature of this rate introduces significant challenges to control design, rendering existing adaptive and time-varying methods ineffective. To address these challenges, we first introduce a bound on the input and transform the nonlinear condition into an equivalent case with an unknown constant rate. Subsequently, we develop both time-varying and adaptive methods to design the controller. Through rigorous mathematical analysis, we prove that the regulation objective can be achieved under the proposed control framework. Illustrative examples are provided to demonstrate the effectiveness of the designed control strategy.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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