DESIGN OF ROBUST PARAMETRIC MPC FOR HYBRID SYSTEMS Conference Paper

abstract

• This paper presents an algorithm for the design of robust model- based predictive controller for hybrid system under uncertainty via parametric programming. A min-max approach is adopted to design robust hybrid para- metric predictive controller (RHPPC) where a cost function is minimized for the maximum violation of the uncertainty involved. The proposed hybrid control scheme guarantees stability and feasible operation in the presence of bounded input uncertainty. The governing piecewise affine optimal control policy as a function of states can then be administered on-line as a sequence of simple function evaluations. An example is presented to illustrate the details of the proposed RHPPC design. Copyright 2005 IFAC.

authors

• Pistikopoulos, Stratos

published proceedings

• IFAC-PapersOnLine

author list (cited authors)

• Manthanwar, A. M., Sakizlis, V., & Pistikopoulos, E. N.

citation count

• 3

complete list of authors

• Manthanwar, Amit M||Sakizlis, Vassilis||Pistikopoulos, Efstratios N

publication date

• December 2005

publisher

• Elsevier  Publisher

published in

• IFAC-PapersOnLine  Journal

keywords

• 40 Engineering
• 4007 Control Engineering, Mechatronics And Robotics
• 4010 Engineering Practice And Education

Digital Object Identifier (DOI)

• 10.3182/20050703-6-cz-1902.00344

International Standard Book Number (ISBN) 10

• 008045108X

International Standard Book Number (ISBN) 13

• 9780080451084

start page

• 361

end page

• 366

volume

• 38

issue

• 1