2022
DOI: 10.48550/arxiv.2204.04456
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Approximation-free control based on the bioinspired reference model for suspension systems with uncertainty and unknown nonlinearity

Abstract: Uncertainty and unknown nonlinearity are often inevitable in the suspension systems, which were often solved using fuzzy logic system (FLS) or neural networks (NNs). However, these methods are restricted by the structural complexity of the controller and the huge computing cost. Meanwhile, the estimation error of such approximators is affected by adopted adaptive laws and learning gains. Thus, in view of the above problem, this paper proposes the approximation-free control based on the bioinspired reference mo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 31 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?