Papers by Vassilios Vassiliadis
European Journal of …, Jan 1, 2004
Computers & Chemical …, Jan 1, 2001
Ind. Eng. Chem. …, Jan 1, 2000
ABSTRACT
Chemical Engineering Science, Jan 1, 1999
The derivation of formulae for second-order parametric sensitivity analysis of differential-algeb... more The derivation of formulae for second-order parametric sensitivity analysis of differential-algebraic equations is presented in this paper, using tensorial analusis. The proposed formulae derive this information in conjunction with the state and first-order sensitivity evaluation. An original result in this work is the derivation of Hessian matrix–vector product forms which are shown to have the same computational complexity as the evaluation of first-order sensitivities. The theoretical result for second-order sensitivities is shown to be a very effective way to solve optimal control problems. The algorithm constructed is demonstrated to have a fine performance on three standard optimal control problems taken from the chemical engineering literature.
Journal of Process …, Jan 1, 2002
Ind. Eng. Chem. Res, Jan 1, 2005
ABSTRACT
Computers & Chemical Engineering, Jan 1, 1997
Ind. Eng. Chem. …, Jan 1, 2004
... Julio R. Banga and Antonio A. Alonso. Process Engineering Group, IIM-CSIC, Eduardo Cabello 6,... more ... Julio R. Banga and Antonio A. Alonso. Process Engineering Group, IIM-CSIC, Eduardo Cabello 6, 36208 Vigo, Spain. Vassilios S. Vassiliadis. ... dynamics (eqs 1 and 2) so as to minimize (or maximize) the following objective functional where the scalar functions φ (Mayer term) and ...
Ind. Eng. Chem. Res, Jan 1, 2002
Computers & Operations Research, Jan 1, 2004
Ind. Eng. Chem. Res, Jan 1, 1998
Ind. Eng. Chem. Res, Jan 1, 1998
Computers & chemical engineering, Jan 1, 2003
Journal of food engineering, Jan 1, 2005
Journal of Process Control, Jan 1, 2005
Industrial & engineering …, Jan 1, 2006
Industrial and …, Jan 1, 1998
Industrial and …, Jan 1, 1998
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Papers by Vassilios Vassiliadis
feasible alternatives for general decision making problems. Every engineer and scientist
will most certainly have encountered optimization in some form or another: from
parameter estimation and model fitting, to experiment design, and to more advanced uses,
such as optimising processes and plant flow sheets, and more.
A brief search through the Web will verify that there is an enormous volume of
publications and books on the subject, regarding both applications and theoretical
developments. There is no doubt that optimization theory can be very difficult to grasp,
if looked at the level a mathematician would use to develop a mathematical proof.
However, this is not the intent of this presentation. The aim is to present optimization as
an indispensable tool in modern engineering science. The intended audience is anyone
interested to learn about optimization: where it can be applied in our discipline, how to
formulate appropriate models, and where the state-of-the-art has reached with modern
solver codes.
The level is such that the presentation will be accessible to undergraduate students at any
year of the Tripos, whilst presenting the topic in a way that is useful to researchers as
well. There will be no complex mathematics, but some equations will be used: basic
algebra, basic calculus and a lot of common sense! Most of the ideas presented will be
highlighted by applications in Chemical Engineering.