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Learning strictly positive real linear systems with uncertain parameters and unknown input disturbances

✍ Scribed by Tae-Yong Kuc; Jin Soo Lee


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
254 KB
Volume
32
Category
Article
ISSN
0005-1098

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✦ Synopsis


A learning control scheme is derived for the learning of strictly positive real (SPR) linear systems. By using the SPR lemma. it is shown that the exponential rate of convergence of the learning system can be set arbitrarily fast by choosing the learning control gain without the use of any normed inequality condition.