Access Restriction

Author Qian, C. ♦ Lin, W.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1999
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Stability ♦ State feedback ♦ Nonlinear systems ♦ Linear feedback control systems ♦ Nonlinear control systems ♦ Control systems ♦ Output feedback ♦ Linear systems ♦ Geometry ♦ Sufficient conditions
Abstract The problem of almost disturbance decoupling with internal stability (ADD) is formulated, in terms of a nonlinear (instead of an L/sub 2/) gain, for a class of high-order nonlinear systems which consist of a chain of power integrators perturbed by a lower-triangular vector field. A significant feature of the systems considered in the paper is that they are neither feedback linearizable nor affine in the control input, which have been two basic assumptions made in all the existing ADD nonlinear control schemes. Using the so-called adding a power integrator technique developed recently, we solve the ADD problem via static smooth state feedback, under a set of growth conditions that can be viewed as a high-order version of the feedback linearizable conditions. We also show how to explicitly construct a smooth state feedback controller that attenuates the disturbance's effect on the output to an arbitrary degree of accuracy, with internal stability.
Description Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA (Qian, C.)
ISBN 0780352505
ISSN 01912216
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1999-12-07
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 579.54 kB
Page Count 6
Starting Page 2082
Ending Page 2087

Source: IEEE Xplore Digital Library