Multi-objective optimization framework for networked predictive controller design
Elsevier for ISA
Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.
Networked Control Systems (NCSs) often suffer from random packet dropouts which deteriorate overall system's stability and performance. To handle the ill effects of random packet losses in feedback control systems, closed over communication network, a state feedback controller with predictive gains has been designed. To achieve improved performance, an optimization based controller design framework has been proposed in this paper with Linear Matrix Inequality (LMI) constraints, to ensure guaranteed stability. Different conflicting objective functions have been optimized with Non-dominated Sorting Genetic Algorithm-II (NSGA-II). The methodology proposed in this paper not only gives guaranteed closed loop stability in the sense of Lyapunov, even in the presence of random packet losses, but also gives an optimization trade-off between two conflicting time domain control objectives.
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.
Vol. 52 (1), pp. 56 - 77
Place of publication