CH62006: Real Time Intelligent Process Systems

CH62006
Course name	Real Time Intelligent Process Systems
Offered by	Chemical Engineering
Credits	3
L-T-P	3-0-0
Previous Year Grade Distribution
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Semester	Spring

Syllabus

Syllabus mentioned in ERP

Prerequisite - CH30011 or equivalentIntroduction and fundamentals of real-time systems; Conventional control theory versus modern control theory; Limitations of conventional control theory for industrial processes; Importance of hierarchical multilevel control; Special features of real-time chemical processes like dead-time, interactions, asymmetric dynamics, inverse response, multiple steady-states, stability, limit cycles, bifurcation and chaos etc. Real-time parameter estimation and observer theory; Application of real-time observers to process systems Model based control - linear and nonlinear; Industrial applications Optimal and sub-optimal spaces; Real-time optimization - steady state and dynamic; online optimization algorithms including SOCOLL etc; neighboring optimal control; Intelligent Inferential control; Application of advanced Artificial intelligence based Controllers using Artificial Neural Networks, Fuzzy logic, Wavelet Transforms and induced learning algorithms. Text Book :1. Real Time Computer Control by S. Bennett2.Neural networks, Fuzzy logic and Genetic Algorithms by R. Pai Reference Book :1.Neurofuzzy with soft computing by J S R Jang, C. T. Sun and E. Mizutani