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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | De-feng He Xiu-lan Song An-dong Liu Li Yu |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China 310023 (De-feng He; Xiu-lan Song; An-dong Liu; Li Yu) |
| Abstract | This paper presents a new robust model predictive control (MPC) scheme for continuous-time nonlinear systems subject to unknown but bounded disturbances and constraints on the state and input. The performance index is a function on disturbance-free state and input profiles, and the predictions are parameterized by one analytic controller with a small number of adjustable parameters. Using the methods of input-to-state stable control Lyapunov functions (ISS-CLFs), a variation of Freeman's formula is constructed, with a single tunable parameter reflecting ‘decay rate’ of the ISS-CLF. It is shown that the formula has the properties of ISS with respect to all admissible disturbances in an explicitly estimated region of attraction. With the results, we prove that the constrained closed-loop MPC system is ISS for all admissible disturbances. The applicability of the proposed MPC scheme is illustrated to control an open-loop unstable system. |
| Starting Page | 1123 |
| Ending Page | 1128 |
| File Size | 143541 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612844879 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-15 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Asian Control Association |
| Subject Keyword | Robust control Algorithm design and analysis Model predictive control control Lyapunov functions Input-to-state stable Constrained control Control systems Robustness Nonlinear systems Optimization Predictive control |
| Content Type | Text |
| Resource Type | Article |
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