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An iterative approach to the optimal co-design of linear control systems.
- Source :
- International Journal of Control; Apr2016, Vol. 89 Issue 4, p680-690, 11p
- Publication Year :
- 2016
-
Abstract
- This paper investigates the optimal co-design of both physical plants and control policies for a class of continuous-time linear control systems. The optimal co-design of a specific linear control system is commonly formulated as a nonlinear non-convex optimisation problem (NNOP), and solved by using iterative techniques, where the plant parameters and the control policy are updated iteratively and alternately. This paper proposes a novel iterative approach to solve the NNOP, where the plant parameters are updated by solving a standard semi-definite programming problem, with non-convexity no longer involved. The proposed system design is generally less conservative in terms of the system performance compared to the conventional system-equivalence-based design, albeit the range of applicability is slightly reduced. A practical optimisation algorithm is proposed to compute a sub-optimal solution ensuring the system stability, and the convergence of the algorithm is established. The effectiveness of the proposed algorithm is illustrated by its application to the optimal co-design of a physical load positioning system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00207179
- Volume :
- 89
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- International Journal of Control
- Publication Type :
- Academic Journal
- Accession number :
- 113083019
- Full Text :
- https://doi.org/10.1080/00207179.2015.1091510