ADAPTIVE TRACKING FOR A CLASS OF FEEDBACK LINEARIZABLE SYSTEMS

被引:38
作者
MARINO, R
TOMEI, P
KANELLAKOPOULOS, I
KOKOTOVIC, PV
机构
[1] UNIV CALIF LOS ANGELES,DEPT ELECT ENGN,LOS ANGELES,CA 90024
[2] UNIV CALIF SANTA BARBARA,DEPT ELECT & COMP ENGN,SANTA BARBARA,CA 93106
关键词
D O I
10.1109/9.293204
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A state feedback control is presented which achieves asymptotic tracking of signals generated by a known exosystem for single-input single-output nonlinear systems with unknown parameters entering linearly. The following assumptions are required: the nominal system is feedback linearizable; the tracking dynamics are not affected by unknown parameters; the linear approximation of the zero dynamics has no eigenvalue with zero real part; pure feedback conditions are satisfied on the vector fields multiplying unknown parameters. This extends to a class of nonlinear uncertain systems the regulator theory in [8] and provides adaptive tracking for systems which may have unbounded tracking dynamics and were excluded in [10].
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页码:1314 / 1319
页数:6
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