Continuous Stirred Tank Reactor (CSTR) is an essential focus in process control and offering a diverse range of researches in the area of chemical and control engineering. To ensure the successful operation of a continuous stirred tank reactor (CSTR), it is necessary to understand their dynamic characteristics, which ultimately enable effective control systems design. The problem of controlling...

Studies of multiple steady states in continuous-flow stirred tank reactors (CSTR) typically depend on the systematic variation of reactor residence time or some other system constraint such as reactant concentration. The concentration of an intermediate species is usually monitored as a function of time at a particular residence time until a steady state is established; the flow rate is then ch...

In a commercial system data used for unit selection systems is collected with a heavy emphasis on homogeneous neutral data that has sufficient coverage for the units that will be used in the system. In this years Blizzard entry CSTR and CereProc R ©present a joint entry where the emphasis has been to explore techniques to deal with data which is not homogeneous (the English entry) and did not h...

The paper deals with continuous-time nonlinear adaptive control of a continuous stirred tank reactor. The control strategy is based on an application of the controller consisting of a linear and nonlinear part. The static nonlinear part is derived in the way of an inversion and exponential approximation of measured or simulated input-output data. The design of the two degrees of freedom (2DOF) ...

Mesoporous nano Ni-Al2O3 catalysts were prepared by using Pluronic P123 (P123) and fatty alcohol polyoxyethylene ether (AEO-7) as structure directing agents (SDAs), applied for CO2 methanation in a continuously stirred tank reactor (CSTR). Compared with NiAl-A AEO-7 SDA NiAl-N without SDA, NiAl-P possesses ordered mesopores, high Ni dispersion, large metal surface area amounts of adsorbed CO2, ...

 An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  Online training of neuroline...

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control continuous stirred tank rea...