Effects of the application of Muston Reciprocal Grouping Mode inWushu teaching class of general higher learning institutions have been studiedthrough literature reading and experimental comparison. Results show thatth...Effects of the application of Muston Reciprocal Grouping Mode inWushu teaching class of general higher learning institutions have been studiedthrough literature reading and experimental comparison. Results show thatthis mode can more efficiently trigger students’ learning motivation and accelerate the forming of move skills than traditional mode, hence, it can greatly improve teaching effects.展开更多
A rectangular thin plate vibration model subjected to inplane stochastic excitation is simplified to a quasinonintegrable Hamiltonian system with two degrees of freedom. Subsequently a one-dimensional Ito stochastic d...A rectangular thin plate vibration model subjected to inplane stochastic excitation is simplified to a quasinonintegrable Hamiltonian system with two degrees of freedom. Subsequently a one-dimensional Ito stochastic differential equation for the system is obtained by applying the stochastic averaging method for quasi-nonintegrable Hamiltonian systems. The conditional reliability function and conditional probability density are both gained by solving the backward Kolmogorov equation numerically. Finally, a stochastic optimal control model is proposed and solved. The numerical results show the effectiveness of this method.展开更多
文摘Effects of the application of Muston Reciprocal Grouping Mode inWushu teaching class of general higher learning institutions have been studiedthrough literature reading and experimental comparison. Results show thatthis mode can more efficiently trigger students’ learning motivation and accelerate the forming of move skills than traditional mode, hence, it can greatly improve teaching effects.
基金Supported by National Natural Science Foundation of China (No.10732020)
文摘A rectangular thin plate vibration model subjected to inplane stochastic excitation is simplified to a quasinonintegrable Hamiltonian system with two degrees of freedom. Subsequently a one-dimensional Ito stochastic differential equation for the system is obtained by applying the stochastic averaging method for quasi-nonintegrable Hamiltonian systems. The conditional reliability function and conditional probability density are both gained by solving the backward Kolmogorov equation numerically. Finally, a stochastic optimal control model is proposed and solved. The numerical results show the effectiveness of this method.