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Application of simulation for understanding industry 4.0 focusing on digital twin and process control. Includes rigorous treatment of modelling and control fundamentals, advanced classical control and multiple loop control. Individual research is undertaken to apply advanced concepts and methods in modern chemical processes.

Application of simulation for understanding industry 4.0 focusing on digital twin and process control. Includes rigorous treatment of modelling and control fundamentals, advanced classical control and multiple loop control. Individual research is undertaken to apply advanced concepts and methods in modern chemical processes.

Application of simulation for understanding industry 4.0 focusing on digital twin and process control. Includes rigorous treatment of modelling and control fundamentals, advanced classical control and multiple loop control. Individual research is undertaken to apply advanced concepts and methods in modern chemical processes.

Application of simulation for understanding industry 4.0 focusing on digital twin and process control. Includes rigorous treatment of modelling and control fundamentals, advanced classical control and multiple loop control. Individual research is undertaken to apply advanced concepts and methods in modern chemical processes.

Application of mathematical modelling and simulation for understanding modern methods of process control via open-ended workshop study projects. Includes rigorous treatment of control fundamentals (dynamics, hardware, transient analysis, feedback, tuning), advanced classical control (feed-forward, cascade), and advanced control (multiple variable control, whole plant control and model predictive control). Research informed with examples from the Industrial Information and Control Centre (I2C2).

Application of mathematical modelling and simulation for understanding modern methods of process control via open-ended workshop study projects. Includes rigorous treatment of control fundamentals (dynamics, hardware, transient analysis, feedback, tuning), advanced classical control (feed-forward, cascade), and advanced control (multiple variable control, whole plant control and model predictive control). Research informed with examples from the Industrial Information and Control Centre (I2C2).