Title :
Feasible distributed MPC scheme for network systems based on an inexact dual gradient method
Author :
Necoara, Ion ; Nedelcu, Valentin ; Clipici, Dragos
Author_Institution :
Autom. Control & Syst. Eng. Dept., Univ. Politeh. of Bucharest, Bucharest, Romania
Abstract :
In this paper we propose an inexact dual gradient method for solving large-scale smooth convex optimization problems. For the proposed algorithm we provide estimates on primal and dual suboptimality and primal infeasibility. We solve the inner problems by means of a parallel coordinate descent method with linear convergence rate. We adapt our method using constraint tightening and obtain a distributed MPC strategy for network systems which guarantees feasibility.
Keywords :
convex programming; distributed control; gradient methods; large-scale systems; networked control systems; predictive control; constraint tightening; distributed MPC scheme; dual suboptimality; inexact dual gradient method; large-scale smooth convex optimization problems; linear convergence rate; model predictive control; network systems; parallel coordinate descent method; primal infeasibility; primal suboptimality; Accuracy; Algorithm design and analysis; Convergence; Convex functions; Gradient methods; Heuristic algorithms;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606286
