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网络化控制系统中反馈信号通过数字通信网络传输，在传输前需要进行量化，但其不可避免会带来量化误差，损害系统的性能甚至稳定性。因此，为降低由量化误差引起的损害，采用事件触发的采样方法进行数据采样和控制。在事件触发控制中，微型处理器只在特定事件发生时进行采样，故多数情况下会以某个误差量超过一个范围作为触发条件。本文给出量化控制下保证系统L2稳定性的条件、并且获得比传统固定时间采样更优（更长）的平均采样周期；并针对对数量化器，给出要达到稳定性的对数量化密度的约束条件。最后对线性例子系统进行仿真，结果证明所提事件触发条件能够保证L2的稳定性，故其在采样间隔上具有更佳的性能。“,”In networked control systems,feedback signals are transmitted through digital communication networks,which makes quantization necessary before the transmission of information.However,quantization error is unavoidable and can degrade the system′s performance and even its stability.In order to mitigate performance degradation due to quantization error,we introduce an event-triggering technique into these systems′sampling and control functions. With event-triggering control,micro-processors perform sampling only during certain events,which are often de-fined as certain error variables that go beyond defined bounds.We propose some conditions to guarantee stabili-ty under quantization,which can achieve better (longer)average sampling periods than those by conventional periodic sampling techniques.Moreover,we present some quantization density conditions to guarantee stability during logarithmic quantization.The results of simulations conducted on an example system confirm the effec-tiveness of the stability conditions,and demonstrate the efficiency of the event-triggering technique.