- Title
- Control contraction metric synthesis for discrete-time nonlinear systems
- Creator
- Wei, Lai; Mccloy, Ryan; Bao, Jie
- Relation
- 16th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2021). Proceedings of 16th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2021) (Venice, Italy 13-16 June, 2021) p. 661-666
- Publisher Link
- http://dx.doi.org/10.1016/j.ifacol.2021.08.317
- Publisher
- Elsevier
- Resource Type
- conference paper
- Date
- 2021
- Description
- Flexible manufacturing has been the trend in the area of the modern chemical process nowadays. One of the essential characteristics of flexible manufacturing is to track time-varying target trajectories (e.g. diversity and quantity of products). A possible tool to achieve time-varying targets is contraction theory. However, the contraction theory was developed for continuous time systems and there lacks analysis and synthesis tools for discrete-time systems. This article develops a systematic approach to discrete-time contraction analysis and control synthesis using Discrete-time Control Contraction Metrics (DCCM) which can be implemented using Sum of Square (SOS) programming. The proposed approach is demonstrated by illustrative example.
- Subject
- discrete-time nonlinear systems; nonlinear control; contraction theory; discrete-time control contraction metric (DCCM); sum of squares (SOS) programming; SDG 9; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1442943
- Identifier
- uon:41840
- Identifier
- ISSN:2405-8963
- Language
- eng
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