NDLI: Adaptive control via adaptive observation and asymptotic feedback matrix synthesis

Content Provider	IEEE Xplore Digital Library
Author	Kreisselmeier, G.
Copyright Year	1963
Abstract	For unknown linear, time invariant systems an adaptive feedback control scheme is established. It is composed of a stable adaptive state and parameter observation part, and a stable asymptotic synthesis of an adaptive feedback matrix part, the latter based on the current parameter estimates. Both adaptive state feedback control and adaptive feedback control, using the adaptively observed state instead of the true state, are shown to result in closed loop control systems, which behave globally asymptotically stable in the sense of Lyapunov with respect to the initial uncertainty, provided only that the input of the unknown system is sufficiently excited by means of an external command signal. Thereby an algebraic separation property for adaptive state feedback control is also established, extending an earlier nonadaptive result. In particular, no assumptions on the parameters of the unknown system nor on the speed of the adaptive observer and the adaptive feedback matrix generator are made.
Sponsorship	IEEE Control Systems Society
Starting Page	717
Ending Page	722
Page Count	6
File Size	766492
File Format	PDF
ISSN	00189286
Volume Number	25
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1980-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive control Programmable control State feedback Control system synthesis Feedback control Control systems Time invariant systems Adaptive systems Parameter estimation State estimation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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