Directorate Change
December 14 2006 - 6:45AM
UK Regulatory
14 December 2006
ParOS plc
("ParOS")
Directorate Changes
ParOS plc, the Aim-listed technology spin-out company from Imperial College,
London, announces that the following Director changes will take place with
effect from 1 January 2007.
Patrick McHugh will assume the role of Chairman and Chief Executive to reflect
his increased involvement in the day-to-day operations of the Company. As part
of his new role he will have overall responsibility for delivering revenue
growth.
Professor Efstratios Pistikopoulos will become Chief Technology Officer of the
Company allowing him to focus on commercialising the technology derived from
research programmes being undertaken within the Centre for Process Systems
Engineering at Imperial College, London. This will ensure the Company maintains
a close link with Imperial College and derives maximum value from the pipeline
agreement entered into with Imperial College at the time of the Company's
admission to trading on Aim.
The Company's primary focus remains the commercialisation of its intellectual
property whilst preserving the Company's cash resources so that it is able to
generate shareholder value.
Patrick McHugh, Chairman of ParOS plc, said: `These directorate changes are to
ensure that the business can focus more effectively on the identification and
commercialisation of technologies and extract the maximum value from our
relationship with Imperial College through the pipeline agreement"'.
For Enquiries:
ParOS plc
Patrick McHugh Tel: 0208 300 8223
John East & Partners Limited (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.
END
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