Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  estimate the continuous-time nonlinear rotational dynamics of a DJI F450 quadcopter which is controlled and stabilized by an onboard unrooted Android phone with a PID controller. Since the Android phone contains the only IMU in the system,  only have measurements provided by the Android Java API for estimation, which are subject to significant latencies because Android is not realtime system. Although prediction error methods are typically preferred for estimating general continuous-time nonlinear models,  show that the standard prediction error estimates are highly sensitive to the initial guess, and hence  introduce a total least-squares approach for estimating the initial model. Finally,  compare the estimated models to the model obtained from a traditional inertia measurement device, namely, a Bifilar test stand.
['Mohammad A. Alsharif', 'Matthew S. Holzel']
I am writing a research paper on a idea Estimation of a drone's rotational dynamics with piloted Android flight data
[{"from": "human", "value": "I am writing a research paper on a idea Estimation of a drone's rotational dynamics with piloted Android flight data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  estimate the continuous-time nonlinear rotational dynamics of a DJI F450 quadcopter which is controlled and stabilized by an onboard unrooted Android phone with a PID controller. Since the Android phone contains the only IMU in the system,  only have measurements provided by the Android Java API for estimation, which are subject to significant latencies because Android is not realtime system. Although prediction error methods are typically preferred for estimating general continuous-time nonlinear models,  show that the standard prediction error estimates are highly sensitive to the initial guess, and hence  introduce a total least-squares approach for estimating the initial model. Finally,  compare the estimated models to the model obtained from a traditional inertia measurement device, namely, a Bifilar test stand."}]