Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  is motivated by practical consideration that the input updating and output sampling rates are often limited due to sensor and actuator speed constraints. In particular, for general dual-rate systems with different updating and sampling periods,  derive the lifted state-space models (mapping relations beten available dual-rate input-output data), and, by using a hierarchical identification principle, present combined parameter and state estimation algorithms for identifying the canonical lifted models based on the given dual-rate input-output data, taking into account the causality constraints of the lifted systems. Finally,  give an illustrative example to indicate that the proposed algorithm is effective.
['Feng Ding', 'Tongwen Chen']
I am writing a research paper on a idea Hierarchical identification of lifted state-space models for general dual-rate systems
[{"from": "human", "value": "I am writing a research paper on a idea Hierarchical identification of lifted state-space models for general dual-rate systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  is motivated by practical consideration that the input updating and output sampling rates are often limited due to sensor and actuator speed constraints. In particular, for general dual-rate systems with different updating and sampling periods,  derive the lifted state-space models (mapping relations beten available dual-rate input-output data), and, by using a hierarchical identification principle, present combined parameter and state estimation algorithms for identifying the canonical lifted models based on the given dual-rate input-output data, taking into account the causality constraints of the lifted systems. Finally,  give an illustrative example to indicate that the proposed algorithm is effective."}]