Data-driven inversion-based control of nonlinear systems. Issue 28 (2015)

• Record Type: Journal Article
• Authors: Formentin, Simone; Novara, Carlo; Savaresi, Sergio M.; Milanese, Mario
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 28(2015)
• Page Start: 1343
• Page End: 1348
• Publication Date: 2015
• Subjects: data-driven control design -- nonlinear systems -- convex optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.12.318
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In this paper, we introduce the Data-Driven Inversion-Based Control (D2-IBC) method for nonlinear control system design. The method relies on a two degree-of-freedom architecture, with a nonlinear controller and a linear controller running in parallel, and does not require any detailed physical knowledge of the plant to control. Specifically, we use input/output data to synthesize the control action by employing convex optimization tools only. We show the effectiveness of the proposed approach on a simulation example, where the D2-IBC performance is also compared to that of the Direct FeedbacK (DFK) design approach, a benchmark method for nonlinear controller design from data.