A Reflective Model for Architecting Feedback Control Systems
نویسندگان
چکیده
Autonomic Computing aims at realizing computing systems that are able to adapt themselves, but the engineering of such systems in the large is rather a challenging task. It is hard to find an appropriate model that controls the adaptation itself and several loops are likely to be coordinated to avoid unexpected and harmful behaviors. This paper presents an approach and a runtime support to architecture self-adaptive systems, in which each part of the feedback control loop is uniformly and explicitly designed as a first-class adaptive element. Making these elements explicit allows the architect to reason about system modeling and to reuse them. Code generation from the architecture model avoids painful details of low-level system implementation. Keywords-Autonomic Computing, Model-Driven Engineering, Software Architecture
منابع مشابه
Stability analysis and feedback control of T-S fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay
In this paper, a new T-S fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay, is presented to address the problems of stability analysis and feedback control. Fuzzy controller is designed based on the parallel distributed compensation (PDC), and with a new Lyapunov function, delay dependent asymptotic stability conditions of the closed-loop system are derived v...
متن کاملResearch in Systems Architecting
Researching architecting methods is a very abstract activity at a large distance from actual product creation. The relation between product creation, architecting, architecting methods and architecting methods research is shown. The technology management cycle model is explained and mapped on product creation and research. This model is used as the basis to describe an “ideal” research method t...
متن کاملAdaptive fuzzy pole placement for stabilization of non-linear systems
A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model at each sampling time to have an approximate linear time varying system. In order to stabilize...
متن کاملPositioning the CAFCR Method in the World
This chapter positions the CAFCR architecting methods realtive to other methods. The other methods originate in software architecting, system architecting and system engineering, and more general systems science. Some background is given of the IEEE 1471 standard that has proven to be to be a useful fundament for the CAFCR method. Distribution This article or presentation is written as part of ...
متن کاملTime Delay and Data Dropout Compensation in Networked Control Systems Using Extended Kalman Filter
In networked control systems, time delay and data dropout can degrade the performance of the control system and even destabilize the system. In the present paper, the Extended Kalman filter is employed to compensate the effects of time delay and data dropout in feedforward and feedback paths of networked control systems. In the proposed method, the extended Kalman filter is used as an observer ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011