Robust model-based predictive controller for hybrid system via parametric programming Academic Article

abstract

• In this paper we present an algorithm for the design of robust model-based predictive control for hybrid system under uncertainty via parametric programming. The proposed min-max hybrid control scheme guarantees feasible plant operation for the maximum violation of uncertainty scenario. The key advantage of the proposed hybrid controller design is reduction in expensive, repetitive in nature on-line computations by providing the entire map of optimal robust control policy in given state space. The resulting piecewise affine optimal control law as a function of states can then be implemented online as a sequence of simple function evaluations. An example is presented to illustrate the details of the proposed robust hybrid parametric controller design. 2005 Elsevier B.V. All rights reserved.

authors

• Pistikopoulos, Stratos

published proceedings

• EUROPEAN SYMPOSIUM ON COMPUTER-AIDED PROCESS ENGINEERING-15, 20A AND 20B

author list (cited authors)

• Manthanwar, A. M., Sakizlis, V., Dua, V., & Pistikopolos, E. N.

citation count

• 5

complete list of authors

• Manthanwar, AM||Sakizlis, V||Dua, V||Pistikopolos, EN

publication date

• December 2005

publisher

• Elsevier  Publisher

keywords

• Feasibility.
• Hybrid Systems
• Mpc
• Parametric Programming
• ROBUST CONTROL

Digital Object Identifier (DOI)

• 10.1016/s1570-7946(05)80050-1

start page

• 1249

end page

• 1254

volume

• 20a-20b

issue

• C

URL

• http://dx.doi.org/10.1016/s1570-7946(05)80050-1