Learning or developing dynamic models from experimental data is crucial in monitoring and control of processes. In general, measurements of both inputs and outputs of a process are subject to noise. Model development …
Learning or developing dynamic models from experimental data is crucial in monitoring and control of processes. In general, measurements of both inputs and outputs of a processare subject to noise. Model development from …
Dr. Sridharakumar Narasimhan received his M.Tech (Integrated course) degree in Chemical Engineering from IIT Bombay in 1998. Subsequently, he worked for 2 years as a process engineer in the mineral process group of the …
Dr. Arun K. Tangirala obtained his Bachelors degree in Chemical Engineering from IIT Madras in 1996 and his Doctoral degree in Process Control & Monitoring from the Department of Chemical & Materials Engineering, …
