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Adaptive output feedback formation tracking for a class of multiagent systems with quantized input signals

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Abstract

A novel adaptive output feedback control approach is presented for formation tracking of a multiagent system with uncertainties and quantized input signals. The agents are described by nonlinear dynamics models with unknown parameters and immeasurable states. A high-gain dynamic state observer is established to estimate the immeasurable states. With a proper design parameter choice, an adaptive output feedback control method is developed employing a hysteretic quantizer and the designed dynamic state observer. Stability analysis shows that the control strategy can guarantee that the agents can maintain the formation shape while tracking the reference trajectory. In addition, all the signals in the closed-loop system are bounded. The effectiveness of the control strategy is validated by simulation.

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Correspondence to Jing-lin Hu.

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Project supported by the National Natural Science Foundation of China (No. 20155896025)

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Hu, Jl., Sun, Xx., He, L. et al. Adaptive output feedback formation tracking for a class of multiagent systems with quantized input signals. Frontiers Inf Technol Electronic Eng 19, 1086–1097 (2018). https://doi.org/10.1631/FITEE.1601801

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  • DOI: https://doi.org/10.1631/FITEE.1601801

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