4.3 Article

GENERALIZED HOMOGENEOUS SYSTEMS WITH APPLICATIONS TO NONLINEAR CONTROL: A SURVEY

期刊

MATHEMATICAL CONTROL AND RELATED FIELDS
卷 5, 期 3, 页码 585-611

出版社

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/mcrf.2015.5.585

关键词

Homogeneous system theory; adding a power integrator; nonlinear systems; homogeneous domination approach; global stabilization

资金

  1. National Natural Science Foundation of China [61473082]
  2. 973 Program [2012CB215202]
  3. 111 Project [B08015]
  4. Shenzhen Key Lab on Wind Energy and Smart Grids [CXB201005250025A]
  5. [JC201105160551A]
  6. [KQC201105300002A]
  7. [JCY201303291521257]

向作者/读者索取更多资源

This survey provides a unified homogeneous perspective on recent advances in the global stabilization of various nonlinear systems with uncertainty. We first review definitions and properties of homogeneous systems and illustrate how the homogeneous system theory can yield elegant feedback stabilizers for certain homogeneous systems. By taking advantage of homogeneity, we then present the so-called Adding a Power Integrator (AAPI) technique and discuss how it can be employed to recursively construct smooth state feedback stabilizers for uncertain nonlinear systems with uncontrollable linearizations. Based on the AAPI technique, a non-smooth version as well as a generalized version of AAPI approaches can be further developed from a homogeneous viewpoint, resulting in solutions to the global stabilization of genuinely nonlinear systems that may not be controlled, even locally, by any smooth state feedback. In the case of output feedback control, we demonstrate in this survey why the homogeneity is the key in developing a homogeneous domination approach, which has been successful in solving some difficult nonlinear control problems including, for instance, the global stabilization of systems with higher-order nonlinearities via output feedback. Finally, we show how the notion of Homogeneity with Monotone Degrees (HWMD) plays a decisive role in unifying smooth and non-smooth AAPI methods under one framework. Other applications of HWMD will be also summarized and discussed in this paper, along the directions of constructing smooth stabilizers for nonlinear systems in special forms and low-gain controllers for a class of general upper-triangular systems.

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