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Input‐to‐Output Linearization of Explicit Control Systems with Constrained Measurements
Author(s) -
Schlacher K.,
Kugi A.
Publication year - 2002
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/1617-7061(200203)1:1<97::aid-pamm97>3.0.co;2-0
Subject(s) - linearization , control theory (sociology) , feedback linearization , set (abstract data type) , control (management) , state (computer science) , input/output , linear system , computer science , nonlinear system , mathematics , algorithm , mathematical analysis , physics , quantum mechanics , artificial intelligence , programming language , operating system
Abstract Many design methods for non‐linear control problems require the measurement of the whole state of the plant. This contribution deals with a refinement of the well established exact input‐to‐output linearization such that the control laws depend only on a predefined set of measurements. More precisely, we derive the determining equations for all static control laws, such that the input‐to‐output map from the new input to the new output is linear and such that the constraints concerning the measurements are met.