Citation:
Yi Cao and Prabirkumar Saha, Improved branch and bound method for control
structure screening, Chemical Engineering Science, Volume 60, Issue 6, March
2005, Pages 1555-1564.
Abstract:
The main aim of this paper is to present an improved algorithm of “Branch and
Bound” method for control structure screening. The new algorithm uses a best-
first search approach, which is more efficient than other algorithms based on
depth-first search approaches. Detailed explanation of the algorithms is
provided in this paper along with a case study on Tennessee–Eastman process to
justify the theory of branch and bound method. The case study uses the Hankel
singular value to screen control structure for stabilization. The branch and
bound method provides a global ranking to all possible input and output
combinations. Based on this ranking an efficient control structure with least
complexity for stabilizing control is detected which leads to a decentralized
proportional contr