Perturbed cooperative-state feedback strategy for model predictive networked control of interconnected systems

Tri Tran; Q P Ha

doi:10.1016/j.isatra.2017.09.017

Perturbed cooperative-state feedback strategy for model predictive networked control of interconnected systems

ISA Trans. 2018 Jan:72:110-121. doi: 10.1016/j.isatra.2017.09.017. Epub 2017 Oct 6.

Authors

Tri Tran¹, Q P Ha²

Affiliations

¹ Cambridge CARES, Nanyang Technological University, 1 CREATE Way, Lvl. 5, No. 5, CREATE Tower 138602, Singapore. Electronic address: tctran@ieee.org.
² Faculty of Engineering and Information Technology, University of Technology Sydney, 15 Broadway, Ultimo, NSW 2007, Australia. Electronic address: quang.ha@uts.edu.au.

PMID: 28992943
DOI: 10.1016/j.isatra.2017.09.017

Abstract

A perturbed cooperative-state feedback (PSF) strategy is presented for the control of interconnected systems in this paper. The subsystems of an interconnected system can exchange data via the communication network that has multiple connection topologies. The PSF strategy can resolve both issues, the sensor data losses and the communication network breaks, thanks to the two components of the control including a cooperative-state feedback and a perturbation variable, e.g., u_i=K_ijx_j+w_i. The PSF is implemented in a decentralized model predictive control scheme with a stability constraint and a non-monotonic storage function (ΔV(x(k))≥0), derived from the dissipative systems theory. Numerical simulation for the automatic generation control problem in power systems is studied to illustrate the effectiveness of the presented PSF strategy.

Keywords: Decentralized model predictive networked control; Dissipation-based stability constraint; Intermittent data loss; Perturbed cooperative-state feedback.