Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  designs the central finite-dimensional H"~ filter for linear stochastic systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold @c with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. The original H"~ filtering problem for a linear stochastic system is reduced to the corresponding mean-square H"2 filtering problem, using the technique proposed in Doyle (1989) [1]. In the example, the designed filter is applied to estimation of the pitch and yaw angles of a two degrees of freedom (2DOF) helicopter.
['Michael Basin', 'Santiago Elvira-Ceja', 'Edgar N. Sanchez']
I am writing a research paper on a idea Mean-square H∞ filtering for stochastic systems: Application to a 2DOF helicopter
[{"from": "human", "value": "I am writing a research paper on a idea Mean-square H\u221e filtering for stochastic systems: Application to a 2DOF helicopter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  designs the central finite-dimensional H\"~ filter for linear stochastic systems with integral-quadratically bounded deterministic disturbances, that is suboptimal for a given threshold @c with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. The original H\"~ filtering problem for a linear stochastic system is reduced to the corresponding mean-square H\"2 filtering problem, using the technique proposed in Doyle (1989) [1]. In the example, the designed filter is applied to estimation of the pitch and yaw angles of a two degrees of freedom (2DOF) helicopter."}]