Prescribed Performance Cooperative Control for Multiagent Systems With Input Quantization. Academic Article

abstract

• This paper studies the quantized cooperative control problem for multiagent systems with unknown gains in the prescribed performance. Different from the finite-time control, a speed function is designed to realize that the tracking errors converge to a prescribed compact set in a given finite time for multiagent systems. Meanwhile, we consider the problem of unknown gains and input quantization, which can be addressed by using a lemma and Nussbaum function in cooperative control. Moreover, the fuzzy logic systems are proposed to approximate the nonlinear function defined on a compact set. A distributed controller and adaptive laws are constructed based on the Lyapunov stability theory and backstepping method. Finally, the effectiveness of the proposed approach is illustrated by some numerical simulation results.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Liang, H., Zhang, Y., Huang, T., & Ma, H.

citation count

• 192

complete list of authors

• Liang, Hongjing||Zhang, Yanhui||Huang, Tingwen||Ma, Hui

publication date

• May 2020

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON CYBERNETICS  Journal

keywords

• Control Systems
• Convergence
• Cooperative Control
• Fuzzy Logic
• Multi-agent Systems
• Nonlinear Systems
• Prescribed Performance
• Quantization (signal)
• Quantized Control
• Unknown Gains

PubMed Central ID

• 30714939

Digital Object Identifier (DOI)

• 10.1109/TCYB.2019.2893645

start page

• 1810

end page

• 1819

volume

• 50

issue

• 5

URL

• http://dx.doi.org/10.1109/tcyb.2019.2893645