A significantresearch work hasbeen carried outon m odeling,identification and controlofprocessesrepresented by W ienerm odels.Thesem odelsinclude a cascadeconnection ofa lineartim e invariantsystem and a static nonlinearity. Severalapproaches can be found in the literature to perform the identification process.In thisarticle,we describe a param etric description forthe system ,that allowsto des...

This paper presents a novel nonlinear Internal Model Controller architecture that achieves linear rejection of input disturbances from the control signal. For a large class of SISO nonlinear systems, appropriate open loop stability properties guarantee closed loop tracking and disturbance rejection of asymptotically constant signals. The convenient tuning and improved performance is illustrated...

Conventional control algorithms used in pH control systems give inefficient performance, leading to use of large mixers. To improve the neutralization control process, an ANFIS based advanced controller has been proposed. In this paper, method of design of adaptive controller based on neurofuzzy technique is presented. The method uses ANFIS methodology to 1 / 4

Dear editor, This letter presents a practical industrial process identification scheme. More specifically, to improve the accuracy of process, decoupled scheme is developed based on neural fuzzy network and autoregressive exogenous (ARX) model, which multi-signal sources. The multiple signal sources include binary signals random signals. Experimental results pH neutralization show that identifi...

Astringency and sourness of lactic, acetic and citric acids, each adjusted to pH 3, 5 and 7, were evaluated in two experiments, one starting at equal concentrations in wt/vol before neutralization and the second starting at equal molarity. Astringency and sourness decreased with increasing pH. However, acids were differentially sour at equal pH, consistent with previous findings. In contrast, t...

The pH control is a difficult problem. This is due to the strong nonlinearity and extreme sensitivity to disturbances in the neighborhood of the neutrality point. A Fuzzy Sliding Mode Controller (FSMC) which combines a Variable Structure Control with sliding modes (VSC) and the fuzzy logic theory to adjust the controller gains, for pH control (neutralization and regulation), is presented in thi...

To understand the mechanism of Saposin C-membrane binding at low pH, several molecular dynamics (MD) simulations of saposin C with 1,2-dioleoyl-sn-glycero-3-phosphatidylserine (DOPS 18; 1) or modified DOPS were performed in the default charge states at neutral pH or, based on the pKa calculations, with some protonated acidic residues to approximate low pH conditions. It was found that the elect...

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 neurolinearizer is compared to model predictive recurrent training...

During purification of monoclonal antibodies, viral inactivation/removal step is a mandatory to comply with the regulatory guidelines which commonly performs at low pH about 3.5 and further neutralizes it 7.0. Neutralization antibodies results formation high turbidity troublesome for processing such as filtration other chromatography processes eventually leads filter clogging increases column b...