摘要
使量子化的动态产量反馈 H 控制为的问题分离时间线性时间不变(LTI ) 系统在这份报纸被调查。考虑的 quantizer 动态、镇静一可调节激增参数和静态的 quantizer。静态的 quantizer 范围具有实际意义并且充分被考虑。首先,考虑量子化错误,使量子化的控制策略控制器状态依赖于不仅而且在系统测量产量上,它被建议以便使量子化的靠近环的系统是 asymptotically 稳定的,与规定 H,性能跳。根据这结果,然后,一个反复的基于 LMI 的优化算法被开发优化静态的 quantizer 范围为靠近环的系统满足 H 表演要求。一个例子被举说明建议方法的有效性。
The problem of quantized dynamic output feedback H∞ control for discrete-time linear time-invariant (LTI) systems is investigated in this paper. The quantizer considered is dynamic and composed of an adjustable "zoom" parameter and a static quantizer. Static quantizer ranges are of practical significance and are fully considered. First, taking quantization errors into account, a quantized control strategy is dependent not only on the controller states but also on the system measurement outputs, which is proposed such that the quantized closed-loop system is asymptotically stable and with a prescribed H∞ performance bound. Then, on the basis of this result, an iterative LMI-based optimization algorithm is developed to optimize the static quantizer ranges to meet H∞ performance requirements for closed-loop systems. An example is presented to illustrate the effectiveness of the proposed method.
出处
《自动化学报》
EI
CSCD
北大核心
2008年第6期652-658,共7页
Acta Automatica Sinica
基金
Supported by National Natural Science Foundation of China (60674021), Program for New Century Excellent Talents in University (NCET-04-0283), the Funds for Creative Research Groups of China (60521003), Program for Changjiang Scholars and Innovative Research Team in University (IRT0421), the State Key Program of National Natural Science of China (60534010) and the Funds of Ph. D. Program of Ministry of Education, China (20060145019)
关键词
离散时间系统
量子学
动力系统
反馈控制系统
Dynamic output feedback, dynamic quantizer, optimization, H∞control, LMI