Abstract
In this article, we extend discrete-time explicit model-predictive control (MPC) rigorously to linear distributed parameter systems. After formulating an MPC framework and giving a relevant Karush-Kuhn-Tucker theorem, we realize fast regionless explicit MPC by using the dual-active-set method QPKWIK. A Timoshenko beam with input and state constraints is used to demonstrate the efficacy of the design at controlling a continuous-time hyperbolic partial differential equation with constraints, using a discrete-time explicit MPC controller.
Original language | English |
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Article number | 1 |
Pages (from-to) | 518-525 |
Number of pages | 8 |
Journal | IEEE Transactions on Automatic Control |
Volume | 70 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2025 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Costs
- Distributed parameter systems
- Hilbert space
- Linear systems
- Optimal control
- Optimization
- Predictive control
- Predictive control for linear systems
- Space exploration