Fast gradient-based distributed optimisation approach for model predictive control and application in four-tank benchmark Academic Article uri icon


  • The Institution of Engineering and Technology 2015. By taking both control and state vectors as decision variables, the subproblems of model predictive control scheme can be considered as a class of separable convex optimisation problems with coupling linear constraints. A Lagrangian dual method is introduced to deal with the optimisation problem, in which, the primal problem is solved by a parallel coordinate descent method, and a fast dual ascend method is adopted to solve the dual problem iteratively. The proposed approach is applied to the well-known hierarchical and distributed model predictive control four-tank benchmark. Experimental results have testified the effectiveness of the proposed approach and shown that the benchmark problem can be well stabilised.

published proceedings


author list (cited authors)

  • Zhou, X., Li, C., Huang, T., & Xiao, M.

citation count

  • 25

complete list of authors

  • Zhou, Xiaojun||Li, Chaojie||Huang, Tingwen||Xiao, Mingqing

publication date

  • June 2015