Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
Cornell University
We gratefully acknowledge support from the Simons Foundation,member institutions, and all contributors.Donate
arxiv logo>eess> arXiv:2203.02084
arXiv logo
Cornell University Logo

Electrical Engineering and Systems Science > Systems and Control

arXiv:2203.02084 (eess)
[Submitted on 4 Mar 2022]

Title:Robust Approximate Simulation for Hierarchical Control of Piecewise Affine Systems under Bounded Disturbances

View PDF
Abstract:Piecewise affine (PWA) systems are widely applied in many practical cases such as the control of nonlinear systems and hybrid dynamics. However, most of the existing PWA control methods have poor scalability with respect to the number of modes and system dimensions and may not be robust to the disturbances in performance. In this paper, we present a robust approximate simulation based control method for PWA systems under bounded external disturbances. First, a lower-dimensional linear system (abstraction) and an associated interface are designed to enable the output of the PWA system (concrete system) to track the output of the abstraction. Then, a Lyapunov-like simulation function is designed to show the boundedness of the output errors between the two systems. Furthermore, the results obtained for linear abstraction are extended to the case that a simpler PWA system is the abstraction. To illustrate the effectiveness of the proposed approach, simulation results are provided for two design examples.
Comments:8 pages, 7 figures, 2022 American Control Conference extension
Subjects:Systems and Control (eess.SY); Robotics (cs.RO)
Cite as:arXiv:2203.02084 [eess.SY]
 (orarXiv:2203.02084v1 [eess.SY] for this version)
 https://doi.org/10.48550/arXiv.2203.02084
arXiv-issued DOI via DataCite

Submission history

From: Zihao Song [view email]
[v1] Fri, 4 Mar 2022 01:19:09 UTC (1,387 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
Current browse context:
eess.SY
Change to browse by:
export BibTeX citation

Bookmark

BibSonomy logoReddit logo

Bibliographic and Citation Tools

Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
scite Smart Citations(What are Smart Citations?)

Code, Data and Media Associated with this Article

CatalyzeX Code Finder for Papers(What is CatalyzeX?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)

Demos

Hugging Face Spaces(What is Spaces?)

Recommenders and Search Tools

Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.

Which authors of this paper are endorsers? |Disable MathJax (What is MathJax?)

[8]ページ先頭

©2009-2025 Movatter.jp