Compositional Design and Verification of Large-Scale Systems Using Dissipativity Theory

被引:0
|
作者
Arcak, Murat [1 ]
机构
[1] Univ Calif Berkeley, Dept Mech Engn, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源
IEEE CONTROL SYSTEMS MAGAZINE | 2022年 / 42卷 / 02期
关键词
DYNAMICAL-SYSTEMS;
D O I
10.1109/MCS.2021.3139721
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A major problem for safety-critical engineering systems is PA to certify the required stability and performance properties using analytical and computational models of a physical system. The methods for such certification are severely limited in their scalability, that is, their ability to cope with a large number of physical components and the complexity of their interactions. Rather than tackling the system model as a whole, this article advocates a compositional approach that derives system-level guarantees from dissipativity properties of the subsystems and their interconnection structure. This method is particularly suitable when the subsystems are amenable to standard analytical and computational methods. However, a monolithic model of the interconnection is beyond the reach of these techniques. The results reviewed here were motivated by several application problems, such as resource allocation in communication networks, motion coordination in multiagent systems, and dynamical analysis of biochemical reaction networks. Several examples are drawn from these applications to illustrate the results.
引用
收藏
页码:51 / 62
页数:12
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