Knowledge driven optimisation has been developed in an attempt to overcome difficulties in applying existing reactor network synthesis methods to complex systems. Knowledge derived from kinetic relationships is applied to superstructure optimisation in the form of a customised rule-based Tabu Search where rules are used to guide optimisation decisions. Nonisothermal behaviour is represented usi...

The target approach to reactor synthesis tries to determine an upper bound for the performance of a chemical reactor network as measured by its objective function (such as yield or reactor volume). This leads to an optimal control formulation in which the residence time distribution and the micromixing function are the control variables. The optimal control problem is solved using a gradient ba...

The paper is devoted to solution of some problems in nuclear power station generating unit intellectual control systems using genetic algorithms on the basis of control system model development, optimizations methods of their direct quality indices and improved integral quadratic estimates. Some mathematical vector models were obtained for control system multicriterion quality indices with due ...

The resonance-enhanced multiphoton ionization (REMPI) of the OH radical in the gas phase was studied using an isothermal discharge-flow reactor for the production of OH radicals (H+NO,+OH+NO), tunable laser light from an excimer-pumpeddye laser, and a time-of-flight (TOF) mass spectrometer. A mass-resolved REMPI spectrum was found in the wavelength region of 290-3 10 nm, which is assigned to a ...