These parameters are then used in conjunction either in the form of guidelines (for example, St Gallen's consensus criteria) or included in multivariable algorithms (for example, Adjuvant!Online) for clinical decision making [ 1- 3].
We present a Newton-based extremum seeking algorithm for the multivariable case.
In this paper, a novel expression for the convergence of an iterative learning control algorithm for sampled linear multivariable systems is stated.
We obtain the recurrence relations for the simplified index matrices, which provide a convenient algorithm for rapid generation of the multivariable Adomian polynomials.
Leave one out cross validation [29] is a commonly used algorithm for estimating predictive performance of a multivariable calibration model.
In this paper we present a new algorithm for discrete sliding mode control of linear multivariable systems using fast output sampling feedback.
(There is no algorithm for logical falsehood).
The algorithm for analysis is straightforward.
This paper addresses the design of gradient based search algorithms for multivariable system estimation.
