Continuous processes offer more environmentally friendlier beer production compared to the batch production. However, continuous of mashing has not become state-of-the-art in brewing industry. The controllability and flexibility this process still hurdles for practical implementation, but which are necessary react changing raw materials. Once overcome, a can be efficiently adapted Both mean res...

ABSTRACT This paper presents two subspace-based methods, from the MOESP (MIMO output-error state space) family, for state-space identification of continuous-time fractional commensurate models from sampled input-output data. The methodology used in this paper involves a continuous-time fractional operator allowing to reformulate the problem so that the state-space matrices can be estimated with...

In a Model Based Predictive Controller (MBPC) an optimal set of control signals over a deened time period is determined by predicting the future system behaviour and minimising a non-linear cost function. The signiicant amount of computations involved in a non-linear function optimisation often precludes fast control actions. A successive oo-equilibrium system linearisation approach is proposed...

In the modeling of continuous time systems, there is a need to convert the analog system to a discrete time system. The transform frequently encountered in the literature is the impulse invariant transform. This transform has proven to be inadequate for biological system modeling. In this paper we will review the available linear transforms and derive three new transforms, namely the centered s...