This work proposes a methodology to develop new numerical integration algorithms for ordinary differential equations based on state quantization, generalizing the notions of Linearly Implicit Quantized State Systems (LIQSS) methods. Using this idea, two novel sub-families of algorithms are designed that improve the performance of current LIQSS methods while preserving their properties regarding stability, global error bound and efficient event handling capabilities. The features of the new algorithms are studied in two application examples where the advantages over classic numerical integration algorithms is also analyzed.
翻译:本文提出了一种基于状态量化的常微分方程数值积分算法开发方法,扩展了线性隐式量化状态系统方法的概念。基于这一思想,我们设计了两类新的算法子族,在保持现有LIQSS方法稳定性、全局误差界和高效事件处理能力的同时,提升了其计算性能。通过两个应用案例研究了新算法的特性,并分析了其相较于经典数值积分算法的优势。