SUBSYSTEM LEVEL OPTIMAL CONTROL AND FILTERING OF NON-CLASSICALLY DAMPED MATRIX SECOND-ORDER LINEAR MECHANICAL STOCHASTIC SYSTEMS

被引:0
作者
Radisavljevic, Verica [1 ]
Skataric, Dobrila [1 ]
Su, Wu-Chung [1 ]
机构
[1] Rutgers State Univ, Dept Math, Piscataway, NJ 08854 USA
来源
IMECE 2009: PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, VOL 10, PTS A AND B | 2010年
关键词
VIBRATION ANALYSIS; RESPONSE BOUNDS; ERRORS; MOTION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Matrix second-order damped linear dynamic systems are frequently encountered in mechanical, structural, civil, aerospace engineering, and related fields. In this paper, we show how to optimally control matrix second-order systems using locally optimal Kalman filters corresponding to scalar second-order subsystems and how to find the corresponding filter and linear-quadratic (LQ) controller optimal gains at the subsystem level. The globally optimal linear-quadratic controller and the globally optimal Kalman filter and obtained in terms of locally optimal LQ controllers and locally optimal scalar second-order parallel Kalman filters. Conditions are established under which the presented procedure is applicable. Examples are included to demonstrate the efficiency of the proposed technique.
引用
收藏
页码:1083 / 1091
页数:9
相关论文
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