Adaptive regulation of cascade systems with nonlinear parameterization | Zendy

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Adaptive regulation of cascade systems with nonlinear parameterization

Author(s) -

Lin Wei,

Qian Chunjiang

Publication year - 2002

Publication title -

international journal of robust and nonlinear control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.361

H-Index - 106

eISSN - 1099-1239

pISSN - 1049-8923

DOI - 10.1002/rnc.685

Subject(s) - cascade , parameterized complexity , control theory (sociology) , nonlinear system , regular polygon , adaptive control , minimum phase , class (philosophy) , mathematics , computer science , mathematical optimization , phase (matter) , control (management) , engineering , physics , algorithm , artificial intelligence , geometry , quantum mechanics , chemical engineering

This article provides a solution to the problem of global adaptive regulation, for a class of nonlinearly parameterized cascade systems including feedback linearizable and minimum‐phase systems with nonlinear parameterization . The solution is derived by using a novel parameter separation technique combined with a feedback domination design. We remove all the restrictive conditions previously imposed on the unknown parameters, such as linear parameterization or convex/concave parameterization conditions, which have been commonly assumed so far in the literature of nonlinear adaptive control. Copyright © 2002 John Wiley & Sons, Ltd.

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