时变多面体约束下的MPC实时跟踪

T. Manrique, M. Fiacchini, T. Chambrion, G. Millérioux
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引用次数: 7

摘要

针对时变约束下的线性系统,提出了一种基于mpc的实时跟踪策略。由于考虑了状态和输入中的时变约束,该框架非常通用。为了解决这一问题,对离线计算的多面体不变集进行在线齐次扩张和收缩以拟合多面体时变约束,并将其作为允许终端集约束以保证跟踪任务的稳定性和收敛性。同形不变集计算的在线代价可以忽略不计,并允许处理实时应用中的跟踪问题。
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MPC tracking under time-varying polytopic constraints for real-time applications
This paper presents a real-time MPC-based tracking strategy for linear systems subject to time-varying constraints. The framework is quite general since time-varying constraints in the state and in the input are considered. To handle the problem, a polytopic invariant set computed offline is homogeneously dilated and contracted on-line to fit the polytopic time-varying constraints, and used as an admissible terminal set constraint to guarantee stability and convergence in the tracking task. The on-line cost of the homothetic invariant set computation is negligible and allows dealing with tracking problems for real-time applications.
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