The control of pH process has a vast range of applications in wastewater treatment, biochemical and electrochemical processes, the paper and pulp industry and many other areas. Tight control of pH is also critical in the production of pharmaceuticals. However, the dynamics of pH process is highly nonlinear, time varying with change in gain of several orders. It is very difficult to investigate the...Show More
The dynamics of pH process is highly nonlinear, time-varying with change in gain of several orders. It is very difficult to investigate the dynamic behavior of such systems using conventional modeling techniques. An effective approach is to partition the available data into subsets and approximate each subset by a simple piecewise linear model. Fuzzy clustering can be used as tool to partition the...Show More
