自动化学报2009，Vol.35Issue(8)：1114-1120,7.DOI:10.3724/SP.J.1004.2009.01114
一类分布式系统的自适应跟踪和扰动抑制
Adaptive Tracking and Disturbance Rejection for a Class of Distributed Systems
摘要
Abstract
In this paper, direct adaptive-state feedback control schemes are developed to solve the problem of asymptotic tracking and disturbance rejection for a class of distributed large-scale systems with faulty and perturbed interconnection links. In terms of the special distributed architectures, the adaptation laws are proposed to update controller parameters on-line when all interconnected fault factors, the upper bounds of perturbations in interconnection links, and external disturbances on subsystems are unknown.Then, a class of distributed state feedback controllers is constructed to automatically compensate the fault and perturbation effects,and reject the disturbances simultaneously based on the information from adaptive schemes. The proposed adaptive robust tracking controllers can guarantee that the resulting adaptive closed-loop distributed system is stable and each subsystem can asymptotic-output track the corresponding reference signal in the presence of faults and perturbations in interconnection links, and external disturbances. The proposed design technique is finally evaluated in the light of a simulation example.关键词
Distributed state feedback/adaptive control/tracking control/disturbance rejection/large scale systemsKey words
Distributed state feedback/adaptive control/tracking control/disturbance rejection/large scale systems分类
信息技术与安全科学引用本文复制引用
金小峥,杨光红..一类分布式系统的自适应跟踪和扰动抑制[J].自动化学报,2009,35(8):1114-1120,7.基金项目
National Basic Research Program of China (973 Program) (2009CB320604), the Key Program of National Natural Science Foundation of China (60534010), National Natural Science Foundation of China (60674021), Program for New Century Excel-lent Talents in Universities (NCET-04-0283), the Funds for Creative Research Groups of China (60821063), Program for Changjiang Scholars and Innovative Research Team in University (IRT0421),the Funds of Doctoral Program of Ministry of Education, China (20060145019), and the 111 Project (B08015) （973 Program）
