Time synchronization in wireless networks is very important not only for basic communication, but also for the ability of ranging and tracking. This paper proposes a novel clock skew estimation scheme to achieve energyefficient time synchronization for wireless networks. By using recursive least squares estimators, we not only reduce the amount of data which should be stored locally in a table ...

This paper investigates active real-time balancing of rigid rotors during the transient time of acceleration. First, the governing equation of motion of a rigid rotor is formulated. A parametric adaptive control scheme is then designed based on this dynamic model. An ordinary recursive least squares estimation method is used to estimate parameters in this adaptive control scheme. A supervisory ...

In this report, a stable alternative is described for the `standard' systolic MVDR beamforming algorithm of McWhirter and Shepherd, which is known to su er from numerical instability. The alternative algorithm is similar to covariance-type recursive least squares algorithms, and is therefore readily implemented on an RLS systolic array.

This paper focuses on the use of parameter estimation techniques for the implementation of real-time Fault Detection and Diagnosis schemes. A detailed analysis of the nonrecursive and recursive Least Squares methods is given in the context of the system diagnosis problem, and a procedure for performing fault detection and identification for multivariable systems is proposed. An application exam...

In this paper, first a brief review is given of a fully pipelined algorithm for recursive least squares (RLS) estimation, based on socalled ‘inverse updating’. Then a specific class of (block) RLS algorithms is considered, which embraces normalized LMS as a special case (with block size equal to one). It is shown that such algorithms may be cast in the ‘inverse-updating RLS’ framework. This all...

The recursive least squares (RLS) algorithm is one of the most popular adaptive algorithms that can be found in the literature, due to the fact that it is easily and exactly derived from the normal equations. In this paper, we give another interpretation of the RLS algorithm and show the importance of linear interpolation error energies in the RLS structure. We also give a very efficient way to...

This paper presents the design of an adaptive controller for a two input – two output (TITO) system using delta models. This controller has been verified by simulation and real time control of a non-linear laboratory model CE108 coupled drives apparatus. The recursive least squares method is used in identification part of this controller. The synthesis is based on a polynomial approach. Decoupl...

Control of inventory in production and operation systems is very important for better management and utilization of resources. In this paper, the optimal control of a periodic-review inventory system with items deterioration is considered. We are concerned with the problem of determining the production rate that minimizes a certain cost function. We deal with both cases where the deterioration ...