Quantized consensus of nonlinear systems
Olubusola Olufunke Nuga, Zhenghong Li, Zhengtao Ding · 2019
Quantization restricts the information that is exchanged among agents over a discrete-time network, and therefore also restricts the performance of multiagent systems using the quantized information. This paper investigates the effect of this restriction on the performance of the consensus protocols. Using the Kalman-Yakubovich-Popov (KYP) lemma and logarithmic quantizers, the passivity of the nonlinear multiagent systems is guaranteed. The necessary and sufficient condition is given to guarantee the consensus of the systems. A simulation example is provided to verify the results.