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Linear Quadratic Gaussian Optimization Approach for Signal-to-Noise Ratio Constrained Control over Network
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  • Linear Quadratic Gaussian Optimization Approach for Signal-to-Noise Ratio Constrained Control over Network
  • Linear Quadratic Gaussian Optimization Approach for Signal-to-Noise Ratio Constrained Control over Network
저자명
Rojas. Alejandro J.
간행물명
International Journal of Control, Automation and Systems
권/호정보
2009년|7권 6호|pp.971-981 (11 pages)
발행정보
제어로봇시스템학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The research area of control over networks has attracted great interest in recent years. Inserted in this research area is the study of control feedback limitations imposed by the presence of a communication channel. In this paper we analyze the fundamental limitations in control feedback stabilizability imposed by a class of Signal-to-Noise Ratio (SNR) constrained communication channels. We solve the SNR constrained control over network problem as a linear quadratic Gaussian (LQG) optimization with loop transfer recovery (LTR). If the communication channel is located on the feedback path then the LTR is said to be performed at the output. Vice versa, if the communication channel is on the control path, then the recovery is said to be performed at the input. In the present paper we address both cases, namely the LQG optimization with LTR at the output and the LQG optimization with LTR at the input to solve an LTI SNR constrained problem. We then explore the link between these two solutions.