期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 66, 期 10, 页码 4844-4851出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.3038742
关键词
Harmonic analysis; Adaptive systems; Observers; Laplace equations; Estimation; Uncertainty; System dynamics; Adaptive control; cooperative tracking; leader and followers uncertain parameters
资金
- Special Guiding Funds Double First Class [3307012001A, 4007019201]
- Natural Science Foundation of China [62073074]
- Fundamental Research Funds for the Central Universities [4007019109]
This article presents an indirect adaptive methodology for the cooperative control of single-input single-output systems, which does not require prior knowledge of system parameters, minimum phase assumptions, or initial stabilizing controllers to guarantee asymptotic tracking.
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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