In control applications the use of noise-burdened sensor signals cannot be evaded. Also, certain can lost. This problem traditionally is tackled by Kalman filters that provide some “optimal solution” to these problems based on reasonable assumptions are not always well underpinned in practice. These made with regard system model and statistical distribution noise signals. The Fixed Point Iterat...

In this paper Aitken’s extrapolation normally applied to convergent fixed point iteration is extended to extrapolate the solution of a divergent iteration. In addition, higher order Aitken extrapolation is introduced that enables successive decomposition of high Eigen values of the iteration matrix to enable convergence. While extrapolation of a convergent fixed point iteration using a geometri...

We present primal-dual interior-point algorithms with polynomial iteration bounds to nd approximate solutions of semidenite programming problems. Our algorithms achieve the current best iteration bounds and, in every iteration of our algorithms, primal and dual objective values are strictly improved.