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Optimisation during the design of large manufacturing systems is a key issue. An adequate modelling formalism to express the intricate interleaving of competition and cooperation relationships is needed first. Moreover, robust and efficient optimisation techniques are necessary. This paper presents an integrated tool for the automated optimisation of DEDS, with application to manufacturing systems...
The problem of finding admissible tunings for a PID-controller for automatic neuromuscular blockade drug administration in closed-loop anesthesia is considered. A conventional compartmental pharmacokinetic/pharmacodynamic model with Wiener structure under a PID feedback is analyzed in order to discern the safe intervals of the controller parameters that are free of complex dynamics phenomena. The...
In this paper the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade is quantified. A set of model parameters was identified from input-output data collected in the surgery room from a population of fifty patients undergoing general anesthesia. The nominal model was considered to be the average of the transfer functions over...
Combinations of adaptive filters have attracted attention as a simple solution to improve filter performance, including tracking properties. In this paper, we consider combinations of LMS and RLS filters, and study their performance for tracking time-varying solutions. We show that a combination of two filters from the same family (i.e., two LMS or two RLS filters) cannot improve the performance over...
This paper proposes an improved model for the transient of convex combinations of adaptive filters. A previous model, based on a first-order Taylor series approximation of the nonlinear functions that appear in convex combinations, tended to overestimate the variance of the auxiliary variable used to estimate the mixing parameter. In this paper, we apply a second-order Taylor approximation that improves...
In this paper, we propose an approach to the transient and steady-state analysis of the affine combination of one fast and one slow adaptive filters. The theoretical models are based on expressions for the excess mean-square error (EMSE) and cross-EMSE of the component filters, which allows their application to different combinations of algorithms, such as least mean-squares (LMS), normalized LMS...
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