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In this article, observer‐based decentralized adaptive neural control is proposed for uncertain interconnected nonlinear systems with input quantization and time‐varying output restrictions. Decentralized hysteresis quantizer is employed to handle input signal. The unmeasured states are estimated by designing K‐filters. A Lyapunov description is used to dispose of state unmodeled dynamics. The constrained...
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