1 December 2006

                                   ParOS plc                                   

                                   ("ParOS")                                   

                      ParOS wins major EU funded project                       

ParOS plc, the AIM-listed technology spin-out company from Imperial College
London, is pleased to announce that work has started on a 2-year EU funded
CONNECT project. The Directors anticipate receiving EU funding amounting to �
120,000 over the life of the project.

ParOS leads the CONNECT project consortium which comprises three leading
research groups, five European SME's and two large industrial companies.

As part of the project, ParOS will be applying parametric Model Predictive
Control controllers in a range of different industrial scenarios. The scenarios
encompass batch polymerisation, combined heat and power production, tile
furnaces and plasma reactors for wire manufacture.

The seven EU based industrial businesses who form part of the consortium will
provide ParOS with realistic industrial scenarios with a view to assessing and
validating the performance and effectiveness of the solutions developed by the
CONNECT project.

Patrick McHugh, Executive Chairman of ParOS plc, said:

`The EU funded CONNECT project is a very exciting project incorporating a
number of well known industrial focused companies. We are very pleased that we
have been selected to apply our proprietary technology to develop improved
algorithms, methodologies and software tools to tackle some of the problems
faced by these companies in their industrial processes.'

Enquiries:

ParOS

Patrick McHugh Tel: 020 8300 8223

John East & Partners Limited (Financial and Nominated Adviser)

Simon Clements Tel: 020 7628 2200

Holborn Public Relations

David Bick/Mike Feltham Tel: 020 7929 5599

Background Information on ParOS

ParOS was formed in January 2002 as a provider of energy saving advanced
optimisation and control solutions to industry. Its proprietary technology
allows a user to maintain a mechanical system or an industrial process at its
desired operating conditions, optimising the productivity and efficiency of
that system or process, without incurring significant additional hardware
spend. The technology was developed by ParOS in conjunction with The Centre for
Process Systems Engineering of Imperial College, London.

The technology has been developed by a team at Imperial College's Centre for
Process Systems Engineering over the last 15 years, led by chief executive,
Professor Pistikopoulos.

A control solution may be used to measure the parameters within a prescribed
operation that are required to perform at a desired level. This can be achieved
by continuously reviewing sensor measurements and, if any discrepancies are
detected, the necessary alterations can be made to that particular operation.
This form of control solution is known as "simple control". It is relatively
cheap but tends to produce poor performance when applied to more complex
systems.

Advanced control, which may be referred to as Model Predictive Control ("MPC"),
is achieved by repeatedly solving optimisation problems online to determine the
best control action, given the sensor measurements at any given time and a
desired target value for these measurements. The provision of hardware and
software applications required to support MPC solutions is typically expensive
and time consuming to install.

For further information please visit http://www.parostech.com

Products & Solutions

ParOS has developed an advanced control technology that can be used to monitor
a system or process by applying parametric optimisation techniques without the
requirement for expensive hardware and software applications. The technology
allows an advanced control solution to be applied by way of an electronic
look-up function, hardwired onto an existing microchip within the system (for
retrofit) or onto a new microchip, which is then tailor-made for the customer's
specific application. The look-up function applies the required system
measurements as inputs and produces an optimal control action as an output. The
resulting control action is designed to be identical to that which would be
achieved using traditional MPC systems, but without significant computational
memory requirements. This in turn produces fast and accurate control without
the need of a personal computer.

CONNECT project

Follow link to the official website: http://www.cpi.umist.ac.uk/CONNECT/



END



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