Explicit Model Predictive Control via Nonlinear Piecewise Approximations*. Issue 18 (2016)

• Record Type: Journal Article
• Authors: Trinh, Van-Vuong; Alamir, Mazen; Bonnay, Patrick; Bonne, François
• Is Part Of: IFAC-PapersOnLine. Volume 49:Issue 18(2016)
• Page Start: 259
• Page End: 264
• Publication Date: 2016
• Subjects: System Identification -- Nonlinear Approximation -- Explicit Model Predictive Control; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2016.10.173
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, a novel identification methodology is proposed to capture general multivariate nonlinear relationships, with focus on the bounded-error approximation of model predictive control for constrained (non)linear systems. The formulation of the identification problem takes, at each iteration, the form of a constrained linear (or quadratic) optimization problem that is mathematically feasible as well as numerically tractable. The efficiency of the proposed method for the derivation of low-complexity explicit model predictive controllers is demonstrated via the constrained control of a thermodynamic power plant.