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

Journal article (2021)

Authors

S. Baldi , Southeast University

Ilario A. Azzollini University of Bologna

Petros A. Ioannou University of Southern California

Adaptive control Cooperative tracking Leader and followers uncertain parameters

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Published Date

2021

Language

English

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Abstract

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.

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