Lyapunov-Based Model Predictive Control of Nonlinear Systems Subject to Data Losses
By David Muñoz de la Peña, Panagiotis D. Christofides. IEEE Transactions on Automatic Control, 2008
323 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/6b564c33990ef6ae50fa93e83c8e0d7563df8886
How researchers see this paper
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In Control and Systems Engineering
- Helen Durand
- Matthew J. Ellis
- Panagiotis D. Christofides
- N. El‐Farra
- Prashant Mhaskar
- Antonios Armaou
- Eduardo Cerpa
- Stevan Dubljevic
Citations in the corpus
- Economic model predictive control of nonlinear process systems using Lyapunov techniques (2012, unknown): “ujðtÞ 1⁄4 u j ðtjtaÞ; 8t 2 1⁄2ta; taþiÞ (24)”
- Model Predictive Control — Status and Challenges (2013, unknown): “文献 [131] 研究了在网络环境中的分布式预 测控制优化算法 ; 文献 [132] 利用预测控制对于约束 的解析处理能力 , 针对具有传输丢包的非线性对象 设计基于 Lyapunov 函数的预测控制器 ; 文献 [133] 针对前向和反向通道中具有定常 / 时变时延及丢包 的系统进行了预测控制的研究 . c) 向新的应用领域扩展 以风电、太阳能等为代表的新能源系统所提供 的能源输出具有不确定性且受到很多外界条件的约 束 , 预测控制处理约束优化的能力使之在优化这些 系统的运行和维护中受到青睐 , 如把预测控制方法 应用于燃料电池的氧气过量比的控制中 , 取得了较 好的控制效果 [134]…”
- A tutorial review of economic model predictive control methods (2014, methodology): “, k(x) is applied as an emulation controller); see, for instance, [128,65,118,85,129] and the references therein for results and analysis of sampled-data systems.”