Scholarlink

This chapter introduces key elements of dynamical systems theory with special emphasis on those concepts leveraged in the next chapters for the design of control systems and machine learning methods based on reproducing kernel Hilbert spaces. Special emphasis is given to the notions of stability, boundedness, attractivity, and control of Lyapunov functions. A dedicated section discusses distributed parameter systems.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Elements of Dynamical Systems Theory

  • 章节

  • 发表日期：

    2025年

查看全文
  • Andrew J. Kurdila,
  • Andrea L’Afflitto,
  • John A. Burns

摘要

This chapter introduces key elements of dynamical systems theory with special emphasis on those concepts leveraged in the next chapters for the design of control systems and machine learning methods based on reproducing kernel Hilbert spaces. Special emphasis is given to the notions of stability, boundedness, attractivity, and control of Lyapunov functions. A dedicated section discusses distributed parameter systems.