Earticle

초록

영어

Observer design for system with unknown input was carried out. First, Kalman filter was considered to estimate system state with White noise. With the results of Kalman filter design, state observer, controller properties, including controllability and observability, and the Kalman filter structure and algorithm were also studied. Kalman filter algorithm was applied to Position and velocity measurement based on Kalman filter with white noise, and it was constructed and achieved by programming based on Matlab programming. Finally, observer for system with unknown input was constructed with the help of Gershgorin’s disc theorem. With the designed observer, system states was constructed and applied to system with unknown input. By simulation results, estimation performance was verified. In this project, state feedback control theory, observer theory and relevant design procedure, as well as Kalman filter design were understood and used in practical application.

목차

Abstract
 1. Introduction
 2. Observer for system with unknown input
  2.1 System with unknown input
  2.2 Construction of Gerschgorin disc
 3. Illustrative Examples
  3.1 Output of dynamic system as unknown input
  3.2 Simulation Results
 4. Conclusions
 참고문헌

저자

• Chen Si [ Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suahou, China ]
• Yujia Zhai [ Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suahou, China ] 교신저자

참고문헌