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In view of the limitation of the traditional PID controller in the processing of nonlinear time-varying systems, a neuron adaptive PID control algorithm is proposed. Based on the traditional PMSM speed control, the neuron adaptive PID control method is adopted, using the Hebb learning algorithm, the error square is used as the performance index to adjust the parameters online in order to realize the fast tracking of motor speed. The simulation results show that compared with traditional PID control mode, the neuron adaptive PID control method can achieve fast response and high precision on permanent magnet synchronous motor.

The stochastic frontier model is used to measure the RD innovation outputs show spatial effect which has significant positive impact on innovation efficiency; there is significant U type relationship between firm size and RD government financial support has a significant negative impact on R&D innovation efficiency, government tax support has a significant positive effect on R&D innovation efficiency. Regional science and technology level and regional economic level have no significant effect on the R&D innovation efficiency.

This paper investigates whether the board committees can provide governance premiums, which means we examine whether the corporate with sub-committees could bring cumulative abnormal returns to the investors. Using the unbalanced panel data of 2235 company-years we find that the corporate with nomination, strategy and audit committees can bring significant premiums to their investors, which means that firms with good corporate governance can bring extra returns to the investors. This empirical evidence is broadly consistent with the survey of the McKinsey & Company, but we further provide the realistic proof of the governance premium.