Based on integrated system optimisation and parameter estimation a method is described for on-line steady state optimisation which compensates for model-plant mismatch and solves a non-linear optimisation problem by iterating on a linear quadratic representation. The method requires real process derivatives which are estimated using a dynamic identification technique. The utility of the method ...

In this paper we describe the proof of an optimisation that can be applied to tuple space based run-time systems (as used in Linda). The optimisation allows, under certain circumstances, for a tuple that has been destructively removed from a shared tuple space (for example, by a Linda in) to be returned as the result for a non-destructive read (for example, a Linda rd) for a diierent process. T...

4 The Prototype System 8 4.1 Performance evaluation. . . . . . . . . . . . . . . . . . . . . . . . 8 4.2 Technology Independent Optimisation . . . . . . . . . . . . . . . 9 4.3 Details of the Operation Phase: Single-stepping, Iteration, and Sequential Execution . . . . . . . . . . . . . . . . . . . . . . . . . 18 4.4 Example of co-adaptation with other phases of optimisation: technology depende...

BACKGROUND Acute indicators of response to cardiac resynchronisation therapy (CRT) are critical for developing lead optimisation algorithms and evaluating novel multi-polar, multi-lead and endocardial pacing protocols. Accounting for beat-to-beat variability in measures of acute haemodynamic response (AHR) may help clinicians understand the link between acute measurements of cardiac function an...

This study aims to assess the potential and limits of an advanced inversion method to estimate pollutant precursor sources mainly from observations. Ozone, sulphur dioxide, and partly nitrogen oxides observations are taken to infer source strength estimates. As methodology, the four–dimensional variational data assimilation technique 5 has been generalised and employed to include emission rate ...

More and more complex optimisation techniques play an increasing role in todays industry. Different techniques like gradient based methods or evolutionary search techniques are coupled (hybridisation, memetic algorithms [1]), enhanced by methods to fasten objective function evaluations (fitness approximation, metamodel assisted optimisation[2, 3]), or applied to more complex tasks with more tha...

This paper presents an optimisation algorithm applied to three-dimensional structural optimisation problems. This algorithm is based on the evolutionary structural optimisation method (ESO) and boundary elements (BE) are used to carry out the structural analysis. The geometries are represented using non-uniform rational B-spline (NURBS) curves and surfaces. Examples are presented to show the ef...

Though rather awkward and limited in its usage, SPICE has been used by several authors solving their various optimisation problems. In this paper we propose how some generic optimisation algorithms can be integrated into SPICE. The implemented program has proven to be an extremely efficient optimisation tool for an experienced circuit designer. It is free of charge available at our web site (ht...

Knowledge driven optimisation has been developed in an attempt to overcome difficulties in applying existing reactor network synthesis methods to complex systems. Knowledge derived from kinetic relationships is applied to superstructure optimisation in the form of a customised rule-based Tabu Search where rules are used to guide optimisation decisions. Nonisothermal behaviour is represented usi...