A systolic parameter estimator for real-time adaptive control

Describes a new systolic parameter (or constant state) estimator based upon the square root covariance Kalman filter algorithm. Parameter estimation is a fundamental component of adaptive controllers and explicit self-tuning regulators. The new architecture is compared with one proposed by Shepherd, McWhirter, and Hudson (1988), and it is shown to be potentially more attractive for parallel control applications