Recursive linear estimation of linearly constrained parameters

Recursive linear estimation of a parameter vector subject to a linear equality constraint is discussed with reference to a recently proposed Kalman-filter method derived using pseudo-inverses to solve an undetermined least-squares problem. The action of the method is compared with that of an alternative which treats the constraint as an observation, and the circumstances favouring each, or neither, are considered.