Design of multi-parametric NCO tracking controllers for linear dynamic systems Academic Article

abstract

• 2016 The Authors. A methodology for combining multi-parametric programming and NCO tracking is presented in the case of linear dynamic systems. The resulting parametric controllers consist of (potentially nonlinear) feedback laws for tracking optimality conditions by exploiting the underlying optimal control switching structure. Compared to the classical multi-parametric MPC controller, this approach leads to a reduction in the number of critical regions. It calls for the solution of more difficult parametric optimization problems with linear differential equations embedded, whose critical regions are potentially nonconvex. Examples of constrained linear quadratic optimal control problems with parametric uncertainty are presented to illustrate the approach.

authors

• Pistikopoulos, Stratos

published proceedings

• COMPUTERS & CHEMICAL ENGINEERING

author list (cited authors)

• Sun, M., Chachuat, B., & Pistikopoulos, E. N.

citation count

• 12

complete list of authors

• Sun, Muxin||Chachuat, Benoit||Pistikopoulos, Efstratios N

publication date

• September 2016

publisher

• Elsevier  Publisher

published in

• Computers and Chemical Engineering  Journal

keywords

• Explicit Mpc
• Feedback Control
• Multi-parametric Programming
• Nco-tracking

Digital Object Identifier (DOI)

• 10.1016/j.compchemeng.2016.04.038

start page

• 64

end page

• 77

volume

• 92

URL

• http://dx.doi.org/10.1016/j.compchemeng.2016.04.038