Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Some frequency-domain controller design problems are solved using a finite number of frequency samples. Consequently, the performance and stability conditions are not guaranteed for the frequencies beten the frequency samples. , all possible interpolants beten the frequency samples of the open-loop system are bounded using convex constraints on a linearly parameterized controller. These constraints are integrated in a method which solves an H ∞  control problem based on spectral models by convex optimization. The method is applied to a simulation example. It is shown how the added conservatism is reduced while the number of frequency samples is increased.
['Gorka Galdos', 'Alireza Karimi', 'Roland Longchamp']
I am writing a research paper on a idea Robust controller design by convex optimization based on finite frequency samples of spectral models
[{"from": "human", "value": "I am writing a research paper on a idea Robust controller design by convex optimization based on finite frequency samples of spectral models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Some frequency-domain controller design problems are solved using a finite number of frequency samples. Consequently, the performance and stability conditions are not guaranteed for the frequencies beten the frequency samples. , all possible interpolants beten the frequency samples of the open-loop system are bounded using convex constraints on a linearly parameterized controller. These constraints are integrated in a method which solves an H \u221e  control problem based on spectral models by convex optimization. The method is applied to a simulation example. It is shown how the added conservatism is reduced while the number of frequency samples is increased."}]