The Application of Multivariable Fuzzy Control Based on Multidimensional System to Hot Metal Desulphurization

Abstract

Abstract-Hot metal desulphurization is a very important step in the process of steel production. The production process can not be well controlled by use of traditional control methods. This paper introduced the application of multivariable fuzzy control technology to hot metal desulphurization. Using the features of fuzzy controller, the coupling in multivariable fuzzy system can be eliminated from the perspective of control structure through decomposing fuzzy relation equations. The problems of large delay, nonlinear, and the difficulty to establish precise mathematical model can be well overcome. This technology has achieved remarkable control effect on hot metal desulphurization.

Pseudo Two-Hop Distributed Consensus Algorithm with Link Failure

“…Convergence rates for distributed average consensus algorithms are very important, especially for large scale complex systems. In order to accelerate the convergence rate of distributed consensus, in [3], the pseudo two-hop distributed consensus algorithm is proposed. The pseudo two-hop distributed consensus algorithm accelerates dramatically the convergence rate by utilizing the previous information of non-adjacency nodes based on single-hop communication.…”