停留时间
控制理论(社会学)
磁滞
指数稳定性
背景(考古学)
数学
理论(学习稳定性)
区间(图论)
非线性系统
有界函数
指数增长
线性系统
指数函数
控制(管理)
计算机科学
数学分析
物理
临床心理学
量子力学
古生物学
人工智能
机器学习
组合数学
生物
医学
作者
João P. Hespanha,A. Stephen Morse
标识
DOI:10.1109/cdc.1999.831330
摘要
It is shown that switching among stable linear systems results in a stable system provided that switching is "slow-on-the-average". In particular, it is proved that exponential stability is achieved when the number of switches in any finite interval grows linearly with the length of the interval, and the growth rate is sufficiently small. Moreover, the exponential stability is uniform over all switchings with the above property. For switched systems with inputs this guarantees that several input-to-state induced norms are bounded uniformly over all slow-on-the-average switchings. These results extend to classes of nonlinear switched systems that satisfy suitable uniformity assumptions. In this paper it is also shown that, in a supervisory control context, scale-independent hysteresis can produce switching that is slow-on-the-average and therefore the results mentioned above can be used to study the stability of hysteresis-based adaptive control systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI