A novel quantization-based switched second-order sliding mode control design is considered for nonlinear uncertain systems. A new quantization strategy associated with state-space partition is utilized to accommodate the control amplitude to different uncertainty levels then the conservatism of the control gain is thus attenuated. Investigating each quantized region, it is obtained that all regions are globally invariant sets which offers a monotonously consecutive decrease of the quantized control amplitude when sliding variable converging to the origin through considered uncertainty levels. To deal with different control objectives, the closed-loop system performance can be enhanced via adapting the quantization parameters. The finite-time stability analysis and the effect assessment of quantization parameter on the total convergence time are provided. Simulation shows the efficacy and superiority compared with referenced methods.

中文翻译：

---

基于量化的不确定系统切换二阶滑模控制

针对非线性不确定系统，考虑了一种新颖的基于量化的切换二阶滑模控制设计。与状态空间划分相关的新量化策略被用来将控制幅度适应不同的不确定性水平，从而减弱了控制增益的保守性。研究每个量化区域，获得所有区域都是全局不变集，当滑动变量通过考虑的不确定性水平收敛到原点时，它提供量化控制幅度的单调连续减小。为了应对不同的控制目标，可以通过调整量化参数来提高闭环系统的性能。提供了有限时间稳定性分析和量化参数对总收敛时间的影响评估。仿真显示了与参考方法相比的有效性和优越性。