Control of recycle processes using neural networks combined with PID controller

This thesis is focused on the control of a system with recycle. A new control strategy using neural network combined with PID controller was proposed. The combined controller was studied and tested on the pressure control of a vaporizer inside a para-xylene production process. The major problems are the negative effects of recycle and the delays on instability and performance. The neural network was designed to move the process close to the set points while the PID accomplishes the finer level of disturbance rejection and offset reductions. Our simulation results show that during control, the neural network was able to determine the nonlinear relationship between steady state and manipulated variables. The results also show the disturbance rejection was handled by PID controller effectively.

New media reading strategy

This dissertation addresses the need for a strategy that will help readers new to new media texts interpret such texts. While scholars in multimodal and new media theory posit rubrics that offer ways to understand how designers use the materialities and media found in overtly designed, new media texts (see, e.g,, Wysocki, 2004a), these strategies do not account for how readers have to make meaning from those texts. In this dissertation, I discuss how these theories, such as Lev Manovich’s (2001) five principles for determining the new media potential of texts and Gunther Kress and Theo van Leeuwen’s (2001) four strata of designing multimodal texts, are inadequate to the job of helping readers understand new media from a rhetorical perspective. I also explore how literary theory, specifically Wolfgang Iser’s (1978) description of acts of interpretation, can help audiences understand why readers are often unable to interpret the multiple, unexpected modes of communication used in new media texts. Rhetorical theory, explored in a discussion of Sonja Foss’s (2004) units of analysis, is helpful in bringing the reader into a situated context with a new media text, although these units of analysis, like Iser’s process, suggests that a reader has some prior experience interpreting a text-as-artifact. Because of this assumption of knowledge put forth by all of the theories explored within, I argue that none alone is useful to help readers engage with and interpret new media texts. However, I argue that a heuristic which combines elements from each of these theories, as well as additional ones, is more useful for readers who are new to interpreting the multiple modes of communication that are often used in unconventional ways in new media texts. I describe that heuristic in the final chapter and discuss how it can be useful to a range of texts besides those labelled new media.

A Cost Analysis Of Carbon Dioxide Emission Reduction Strategies For New Plants In Michigan's Electric Power Sector

This thesis attempts to find the least-cost strategy to reduce CO2 emission by replacing coal by other energy sources for electricity generation in the context of the proposed EPA’s regulation on CO2 emissions from existing coal-fired power plants. An ARIMA model is built to forecast coal consumption for electricity generation and its CO2 emissions in Michigan from 2016 to 2020. CO2 emission reduction costs are calculated under three emission reduction scenarios- reduction to 17%, 30% and 50% below the 2005 emission level. The impacts of Production Tax Credit (PTC) and the intermittency of renewable energy are also discussed. The results indicate that in most cases natural gas will be the best alternative to coal for electricity generation to realize CO2 reduction goals; if the PTC for wind power will continue after 2015, a natural gas and wind combination approach could be the best strategy based on the least-cost criterion.