TR2015-061
A Gradient-based Approach for Optimal Plant Controller Co-Design
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- "A Gradient-Based Approach for Optimal Plant Controller Co-Design", American Control Conference (ACC), DOI: 10.1109/ACC.2015.7171833, July 2015, pp. 3249-3254.BibTeX TR2015-061 PDF
- @inproceedings{Wang2015jul,
- author = {Wang, Y.-S. and Wang, Y.},
- title = {A Gradient-Based Approach for Optimal Plant Controller Co-Design},
- booktitle = {American Control Conference (ACC)},
- year = 2015,
- pages = {3249--3254},
- month = jul,
- publisher = {IEEE},
- doi = {10.1109/ACC.2015.7171833},
- isbn = {978-1-4799-8685-9},
- url = {https://www.merl.com/publications/TR2015-061}
- }
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- "A Gradient-Based Approach for Optimal Plant Controller Co-Design", American Control Conference (ACC), DOI: 10.1109/ACC.2015.7171833, July 2015, pp. 3249-3254.
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Abstract:
This paper proposes a gradient-based iterative algorithm for optimal co-design of a linear physical plant and a controller. The proposed algorithm does not rely on the common linear parameterization assumption, and thus is applicable to a broader class of problems. The convergence of the algorithm and the verification procedure for a local minimum are given. Numerical examples show that our algorithm is comparable to other complicated algorithms in terms of the performance, but can deal with a more general class of problems.
Related News & Events
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NEWS MERL researchers present 10 papers at the American Controls Conference Date: July 3, 2015
MERL Contacts: Daniel N. Nikovski; Yebin Wang; Stefano Di Cairano; Arvind Raghunathan; Avishai WeissBrief- MERL researchers presented 10 papers at the American Controls Conference, in Chicago, USA. The ACC is one of the most important conferences on control systems in the world. Topics ranged from theoretical, including new algorithms for Model Predictive Control and Co-Design, to applications including spacecraft control and HVAC systems.