A Distributed Indirect Adaptive Approach to Cooperative Tracking in Networks of Uncertain Single-Input Single-Output Systems

Current approaches to the cooperative control of network systems are based on a priori knowledge about the (follower) system dynamics: either the dynamics are known, or assumed to be minimum phase, or initial stabilizing controllers are available for each system. The purpose of this article is to sh...

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Bibliographic Details
Published in:IEEE transactions on automatic control 2021-10, Vol.66 (10), p.4844-4851
Main Authors: Baldi, Simone, Azzollini, Ilario A., Ioannou, Petros A.
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive systems
Controllers
Cooperative control
cooperative tracking
Estimation
Harmonic analysis
Laplace equations
leader and followers uncertain parameters
Observers
SISO (control systems)
System dynamics
Tracking
Uncertainty
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Summary:Current approaches to the cooperative control of network systems are based on a priori knowledge about the (follower) system dynamics: either the dynamics are known, or assumed to be minimum phase, or initial stabilizing controllers are available for each system. The purpose of this article is to show that for single-input single-output systems (SISO) the above assumptions can be relaxed. We propose an indirect adaptive methodology that does not require the knowledge of the parameters of the systems, or the systems to be minimum phase, or initial stabilizing controllers, in order to guarantee asymptotic tracking.
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2020.3038742