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In order to obtain the optimal technological parameters of lettuce vacuum osmotic dehydration, the effects of osmotic temperature, slice thickness, sucrose concentration, and vacuum degree on the vacuum osmotic dehydration were explored. The lettuce water loss rate and solid gain rate decreased with the increase of slice thickness and vacuum degree, and increased with the increase of sucrose concentration...
The paper presents a new data driven predictive control approach for a special set of nonlinear systems. A Linear Parameter Varying (LPV) subspace based identification technique is combined with predictive control approach without computing the parameter dependent state space matrices. Therefore, the Subspace based Predictive Control for LPV systems (SPC LPV) is a candidate for joint nonlinear identification...
The paper explores the advantage of Subspace Predictive Control for Linear Parameter Varying systems (SPC LPV) in supervisory and in robust control scheme. Closed-loop subspace identification technique is used to identify the I/O LPV predictor for optimal control application. This type of the SPC LPV is a data driven approach.
In this paper, a closed loop subspace predictive control algorithm is developed for linear time invariant (LTI) systems with static nonlinearity at the plant input, i.e. for Hammerstein LTI systems (H-SPC). The elaborated method is a data driven approach combining subspace identification with optimal predictive control. Using the closed loop structure of the subspace identification technique an input-output...
In this paper, we construct the foundation for a new theory for the management of knowledge intensive systems or organizations termed knowledge supernetworks. The framework allows for explicit multicriteria decision-making and determines the optimal flows. We develop the fundamental knowledge supernetwork model with fixed demands and present concrete applications to a news organization, an intelligence...
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