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Bio-Inspired Computing and Networking
systems and the direction of research works in this field. MPC algorithms have
achieved great success in industrial applications because of the following reasons
(Tatjewski 2007):
■ Consideration of constraints of control and output signals
■ Consideration of plant internal dependencies between process inputs and
outputs
■ Simple-to-explain principle of predictive control to plant staff that is directly
responsible for process control
The history of MPC algorithms goes back to the 1970s (Cutler and Ramaker
1980; Prett and Gillette 1980). Since then, algorithms of predictive control have
been continuously developed and, despite the lapse of 3 decades, they are widely used
in industrial applications (Qin and Badgwell ...