Nicolae Paraschiv

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Advanced control is the most efficient technology available to achieve the objective of any industrial process, namely the reduction of variable costs while maintaining product quality. Some advanced control methods are: model based predictive control, internal model control, adaptive control, fuzzy control, robust control, neural network based control and(More)
A dynamic reactive distillation (RD) column model is developed for highly nonideal systems with potential phase splitting. Dynamic simulations and nonlinear dynamic analysis are performed for recovery of acetic acid from waste waters by esterification with n-butanol, which is an interesting alternative to nonreactive separation processes. Two alternative RD(More)
Obtaining increased performance of complex process control systems is highly dependent of the kind of controller chosen. An example of such process is the distillation process found in chemical and petrochemical industries for which the product quality and energy efficiency are the main objectives. Maintaining the process parameters close to specifications(More)
The fast technological progress, along with growing requirements in the manufacturing systems have led in the last decades to a true revolution regarding the optimization methods for job shop scheduling problem (JSSP), which regularly has the greatest impact on the global optimality from the temporal perspective. An extension to the mathematical framework(More)
Control systems behavior can be analyzed taking into account a large number of parameters: performances, reliability, availability, security. Each control system presents various security vulnerabilities that affect in lower or higher measure its functioning. In this paper the authors present a method to assess the impact of security issues on the systems(More)
Extending the microwave frequency measurement from very low to very high frequency requires improvements for the acquisition time. In this paper, a new sampling algorithm is presented with the main purpose to reduce the acquisition time by using a limited number of samples. The adaptive algorithm proposed in this paper computes only a limited number of(More)
This work addresses the major problem of reactive distillation (RD) processes mathematical modeling, revealing also why detecting the presence of a three-phase regime (vapour-liquid-liquid) on the column stages is of utmost importance. In this paper, the authors present in detail their starting modeling approach, which describes the behaviour of a “classic”(More)