the main task of this work is related with the design of a class of siso robust control law for theregulation of substrate concentration (cdo) of an industrial activated sludge wastewater plant. the controldesign is related with an uncertainty estimator (reduced order observer) based active control. departing from the tracking error between the desired and the current substrate concentrations t...

the main task of this work is related with the design of a class of siso robust control law for theregulation of substrate concentration (cdo) of an industrial activated sludge wastewater plant. the controldesign is related with an uncertainty estimator (reduced order observer) based active control. departing from the tracking error between the desired and the current substrate concentrations t...

when a change occurs in a process, one expects to receive a signal from a control chart as quickly as possible. upon the receipt of signal from the control chart a search for identifying the source of disturbance begins. however, searching for assignable cause around the signal time, due to the fact that the disturbance may have manifested itself into the rocess sometimes back, may not always l...

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...

Two independent methods for improving quality are engineering process control (EPC) and statistical process control (SPC). The first method tries to minimize variability by handling process variables so as to keep the outputs of the process on target. While the latter method, SPC does the same basic task of minimizing variability by supervising and eradicating the assignable causes of variation...