Adaptive Quantized Tracking Control for a Class of Nonlinear Systems
研究了一类同时存在输入和状态量化的非线性系统的自适应跟踪控制问题，通过仅量化两个信号来降低通信负担，并证明即使使用粗糙量化器也能实现全局稳定和任意小的跟踪误差。
In this article, an adaptive quantized tracking control for a class of nonlinear systems with both input and state quantization is investigated. For the state quantization, instead of quantizing all the system states, only two signals need to be quantized and transmitted, which greatly reduces the communication burden. It is proved that with this proposed scheme, global stability of the closed-loop system can be achieved even with very coarse quantizers, and the tracking errors can be made arbitrarily small by choosing some design parameters appropriately.