Prashant Mhaskar – författare
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5 produkter
Fault-Tolerant Process Control
Methods and Applications
Av Prashant Mhaskar, Jinfeng Liu m. fl.
Inbunden, 2012
1098 kr
Lägg i varukorg
Fault-Tolerant Process Control focuses on the development of general, yet practical, methods for the design of advanced fault-tolerant control systems; these ensure an efficient fault detection and a timely response to enhance fault recovery, prevent faults from propagating or developing into total …
Fault-Tolerant Process Control
Methods and Applications
Av Panagiotis D. Christofides, Jinfeng Liu m. fl.
E-bok, 2012
1459 kr
Lägg i varukorg
Fault-Tolerant Process Control focuses on the development of general, yet practical, methods for the design of advanced fault-tolerant control systems; these ensure an efficient fault detection and a timely response to enhance fault recovery, prevent faults from propagating or developing into total …
Fault-Tolerant Process Control
Methods and Applications
Av Prashant Mhaskar, Jinfeng Liu m. fl.
Häftad, 2014
1098 kr
Lägg i varukorg
Fault-Tolerant Process Control focuses on the development of general, yet practical, methods for the design of advanced fault-tolerant control systems; these ensure an efficient fault detection and a timely response to enhance fault recovery, prevent faults from propagating or developing into total …
Modeling and Control of Batch Processes
Theory and Applications
Av Prashant Mhaskar, Abhinav Garg m. fl.
Inbunden, 2018
1752 kr
Lägg i varukorg
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the …
Modeling and Control of Batch Processes
Theory and Applications
Av Brandon Corbett, Abhinav Garg m. fl.
E-bok, 2018
2274 kr
Lägg i varukorg
Modeling and Control of Batch Processes presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the …
