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SUMMARY:Architectural Issues in the Design of Model Predictive Control: Fr
 om Centralized to Distributed - He Kong\, Cranfield University
DTSTART:20160421T130000Z
DTEND:20160421T140000Z
UID:TALK65542@talks.cam.ac.uk
CONTACT:Tim Hughes
DESCRIPTION:This talk aims to address some architectural issues in the des
 ign of MPC. Starting from the centralized case\, we will present a general
  tuning framework so that an MPC controller (without constraints) can eith
 er replace a well-designed linear controller (i.e.\, PID) or gradually imp
 rove the control performance (without and with constraints) based on the l
 atter.  The second part of the talk considers the design of cooperative di
 stributed MPC. We propose to apply a state transformation to the problem s
 etup considered in Chapter 6 of the MPC book by Rawlings and Mayne so that
  the couplings in the original question can be handled more effectively. I
 n contrast with the belief established in the former reference that the co
 mputation of any local input in cooperative distributed MPC requires infor
 mation about the plant-wide state and inputs of other local systems\, the 
 proposed framework allows one to compute the local inputs in parallel and 
 independently\, requiring partial plant-wide state information. Implicatio
 ns of this finding in communication\, computation and stability analysis w
 ill be thoroughly discussed.\n\nAbout the speaker:\n\nHe KONG received Bac
 helor\, Master\, and PhD degrees all in Electrical Engineering\, from Chin
 a University of Mining and Technology\, Harbin Institute of Technology (Ch
 ina)\, and University of Newcastle (Australia)\, in 2008\, 2010\, and 2014
 \, respectively.  In early 2015\, he joined Cranfield University\, as a Re
 search Fellow. His research interests include model predictive control\, d
 istributed control\, networked control systems\, and their applications in
  automotive engineering.
LOCATION:Cambridge University Engineering Department\, LR12
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