Reduced order Kalman filtering for time varying systems
Since the classical Kalman filter provides optimal least squares estimates of all of the states of a linear time varying system, there is longstanding interest in obtaining simpler filters that estimate only a subset of states. This objective is of particular interest when the system order is extremely large, which occurs for systems arising from discretized partial differential equations.
2007 46th IEEE Conference on Decision and Control