Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes
Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes
复制标题
使用线性参数变化嵌入和管稳定非线性模型预测控制
DOI:
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发表时间:
2021
影响因子:
2.6
通讯作者:
M. Lazar
中科院分区:
文献类型:
--
作者:
J. Hanema;R. Tóth;M. Lazar
This paper proposes a model predictive control (MPC) approach for non-linear systems where the non-linear dynamics are embedded inside a linear parameter-varying (LPV) representation. The non-linear MPC problem is therefore replaced by an LPV MPC problem, without using linearization. Compared to general non-linear MPC, advantages of this approach are that it allows for the tractable construction of a terminal set and cost, and that only a single convex program must be solved online. The key idea that enables proving recursive feasibility and stability, is to restrict the state evolution of the non-linear system to a time-varying sequence of state constraint sets. Because in LPV embeddings, there exists a relationship between the scheduling and state variables, these state constraints are used to construct a corresponding future scheduling tube. Compared to non-time-varying state constraints, tighter bounds on the future scheduling trajectories are obtained. Computing a scheduling tube in this setting requires applying a non-linear function to the sequence of constraint sets. Outer approximations of this non-linear projection-based scheduling tube can be found, e.g., via interval analysis. The computational properties of the approach are demonstrated on numerical examples
影响因子:
3.9
作者:
Abbas, Hossam S.;Toth, Roland;Petreczky, Mihaly;Meskin, Nader;Mohammadpour Velni, Javad;Koelewijn, Patrick J. W.
通讯作者:
Koelewijn, Patrick J. W.