State Estimation in Nonlinear Model Predictive Control, Unscented Kalman Filter Advantages
作者： Giancarlo Marafioti , Sorin Olaru , Morten Hovd
DOI: 10.1007/978-3-642-01094-1_25
关键词:
摘要: Model predictive control (NMPC) proves to be a suitable technique for controlling nonlinear systems, moreover the simplicity of including constraints in its formulation makes it very attractive large class applications. Due heavy online computational requirements, NMPC has traditionally been applied mostly systems with slow dynamics. Recent developments is likely expand NMPCs applicability faster
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sci-hub.st 参考文章(10)
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