Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most extremum seeking design approaches consider optimising the steady state output of a plant with stationary input-output behaviour. Hover, when the plant is subject to a time-varying exogenous disturbance, the plant extremum point may vary accordingly.  firstly considers the effect of slowly varying exogenous inputs on the performance of a black-box extremum seeking scheme. The analysis reveals that, under proper tuning, the extremum seeking controller converges to the extremum of an average map. A multiplexed extremum seeking framework that estimates the mapping beten the extremum point and the disturbance signal is then proposed. The approach is demonstrated via simulation to achieve a finer estimation of the extremum map.
['Jalil Sharafi', 'William H. Moase', 'Chris Manzie']
I am writing a research paper on a idea A class of adaptive feedforward control using multiplexed extremum seeking
[{"from": "human", "value": "I am writing a research paper on a idea A class of adaptive feedforward control using multiplexed extremum seeking"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most extremum seeking design approaches consider optimising the steady state output of a plant with stationary input-output behaviour. Hover, when the plant is subject to a time-varying exogenous disturbance, the plant extremum point may vary accordingly.  firstly considers the effect of slowly varying exogenous inputs on the performance of a black-box extremum seeking scheme. The analysis reveals that, under proper tuning, the extremum seeking controller converges to the extremum of an average map. A multiplexed extremum seeking framework that estimates the mapping beten the extremum point and the disturbance signal is then proposed. The approach is demonstrated via simulation to achieve a finer estimation of the extremum map."}]