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In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance based model, i.e. the maximal number of biomasses that must be taken into account to reproduce an available data set. It c ...
In this paper, probabilistic observers are considered for a class of continuous biological processes described by mass-balance-based models. It is assumed that the probability density functions (PDFs) of the uncertain parameters and inputs of the model, as ...
Optimization in the process industry has received a lot of attention in recent years because, in the face of growing competition, it represents a natural choice for reducing production costs, improving product quality, and meeting safety requirements and e ...
Modeling and simulation of dynamic systems with a separation of time-scales leads naturally to sing ular perturbation models. For systems of PDEs in time and one spatial dimension, the corresponding quasi-steady-state models yields a reduced set of PDEs (s ...
Problems that exhibit multiple time scales arise frequently in many scientific and engineering fields. The modeling and simulation of such systems leads naturally to singular perturbation models. For systems of partial differential-algebraic equations (PDA ...
The performance of portable power generation systems is a major limitation on the freedom and amount of utility provided by portable electronic devices. In that respect, fuel cells are a promising alternative to current state-of-the-art batteries as there ...
The economic environment in the specialty chemicals industry requires short times to market and thus the ability to develop new products and processes very rapidly. This, in turn, calls for large scale-ups from laboratory to production. Due to scale-relate ...
The paper presents a dynamic optimisation study of a small size single basin wastewater treatment plant. The objective is to determine optimal sequences of aeration/non-aeration times so that for a typical diurnal pattern of disturbances, the effluent cons ...
An overview of global methods for dynamic optimization and mixed-integer dynamic optimization (MIDO) is presented, with emphasis placed on the control parametrization approach. These methods consist of extending existing continuous and mixed-integer global ...
This paper discusses the influence of time horizon on dynamic optimization of small-size wastewater treatment plants alternating aerobic and anoxic processes. The optimization problem consists in determining the aeration policy (air-on and air-off periods) ...