Constrained robust model predicted control of discrete-time Markov jump linear systems
作者： Rosileide O. Lopes , Eduardo M. A. M. Mendes , Leonardo A. B. Torres , ReinaldoM. Palhares
DOI: 10.1049/IET-CTA.2018.5543
关键词:
摘要: This study is concerned with the problem of designing a robust model predictive control (MPC) for class uncertain discrete-time Markov jump linear systems. The main contribution set matrix inequality (LMI) conditions obtained under new policies unconstrained as well constrained MPC when uncertainties are present both in system's matrices and transition probabilities modes. For MPC, hard constraints considered over input states results extended to so-called multi-step mode-dependent state-feedback design. To illustrate improvements LMI conditions, numerical simulations carried out compared recent reference literature.
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