Dr. Tsewei Wang

Our main interest lie in the modeling, control and analysis of environmental as well as chemical systems: Application of Advance Control to Chemical and Biochemical Processes. The objective of this research is to study the incremental value gained when more advanced control design systems, such as robust or nonlinear, are applied to traditionally hard-to-control systems. These systems are hard to control because either no suitable sensors are available to feedback the important process variables of interest (such as in a bioreactor system), or the system is highly variable over time such that process parameters become uncertain, or the process description is highly nonlinear and normal operation encompasses a wide region of operation. In everyday operation, over 90% of chemical processes may be effectively controlled by traditional control approach. We want to identify those processes which can benefit from applying advanced control approaches and to gauge the expected increase in performance. Multivariable statistical Process Control. This is an area of increasing importance, as the quality control in industrial operations has become more and more stringent. What mathematical approaches are best suited for analyzing multivariable data information when they are intercorrelated and corrupted with noise is the subject under research. Modeling and Data Analysis of Environmental In-Situ Remediation Processes. When a contaminated site is undergoing natural remediation. Quite a few variables are being monitored as a function of site and time. How can we take all the variables together and derive an overall assessment of the degree of remediation and the relative role of the environmental parameters in the overall degradation of contaminants is the area of interest.

• T.W. Wang, A. Khettry, M. Berry and J. Batra, "SVD-PLS: A More Efficient Algorithm for Performing PLS", International Chemometric Internet Conference, October-November, 1994. To appear in a special is
• P. Sarma, T.C. Tan, R. Horn, and T. W. Wang, "Intelligent Multivariate Monitoring and Diagnosis of A continuous Exothermic Reactor", AIChE Annual Meeting, 1993.
• B. Huang, and T. W. Wang, R. Burlage, and G. Sayler, "Development of an On-Line Sensor for Bioreactor Operation", Applied Biochemistry and Biotechnology, Vol. 39/40, 1993, pp. 371-382.
• D. Rangel, P. Sarma, and T.W. Wang, "Control of Constrained Nonlinear Processes by Optimized Input/Output Linearization, AIChE Annual Meeting, 1992, also submitted for publication in Chemical Engineer
• T.W. Wang, and T. C. Tan, and D. Grave, "Modeling Natural Bioreclamation Process Using multvariate Statistical Approach", Emerging Technologies in Hazardous Waste Management VI Symposium, American Che