Abstract
The constraints make a process nonlinear even for a linear system in process control. A robust model predictive control (MPC) algorithm for the linear systems with disturbance by explicitly considering the constraints is proposed in this paper. By introducing an auxiliary system to the uncertain MPC system, the robust H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> problem is converted to an LQ problem. Then the constraint can be exploited explicitly. Based on polynomial matrix description of the plant, the robust MPC algorithm is formulated as an optimization problem of a semi-definite programming. The utility of the proposed algorithm is demonstrated through a numerical example.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
