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- W2060131817 abstract "Abstract In this paper, we study digital control systems with non-uniform updating and sampling patterns, which include multirate sampled-data systems as special cases. First, we derive lifted models in the state-space domain, and give a sufficient condition under which the lifted models preserve controllability and observability. The main obstacle for generalized predictive control (GPC) design using the lifted models is the so-called causality constraint. Taking into account this design constraint, we propose a new GPC algorithm, which results in optimal causal control laws for the non-uniformly sampled systems and applies immediately to multirate sampled-data systems." @default.
- W2060131817 created "2016-06-24" @default.
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- W2060131817 date "2002-01-01" @default.
- W2060131817 modified "2023-09-26" @default.
- W2060131817 title "GPC FOR NON-UNIFORMLY SAMPLED SYSTEMS BASED ON THE LIFTED MODELS" @default.
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- W2060131817 doi "https://doi.org/10.3182/20020721-6-es-1901.00636" @default.
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