Title :
General Structured Observers for Discrete-Time Linear Systems
Author :
Cheok, K.C. ; Loh, N.K. ; Beck, R.R.
Author_Institution :
Center for Robotics and Advanced Automation, School of Engineering, Oakland University, Rochester, Michigan 48063
Abstract :
A class of general structured discrete-time deterministic observers is developed. The one-step predicting or Luenberger observers and the current-update observers may be obtained from this class of general structured observers. Interesting relationships and important properties among various full-order observers are established. Optimal discrete-time observer gains are then derived, and it is shown that the optimal observers can be structually and numerically equivalent to various forms of Kalman filters.
Keywords :
Equations; Filters; Laboratories; Linear systems; Observers; Research and development; Robotics and automation; Steady-state; Stochastic systems; Time measurement;
Conference_Titel :
American Control Conference, 1982
Conference_Location :
Arlington, VA, USA