将基于最小二乘的灰色关联分析应用于火箭弹的毁伤效能评估,利用已知信息推测出火箭弹毁伤效能与各因素之间的潜在联系,解决了火箭弹毁伤效能的多参数优化问题。可采用较少的实验次数搜寻优化参数得到最佳毁伤效能,通过参数的最大与最小灰色关联度之差找到对多性能特性影响较显著的因子。实验结果表明,本方法有效改进了火箭弹的毁伤效能评估,通过改进影响显著的因子,重度毁伤率（含歼灭）可提升30%。

In this paper, the output feedback path following problem for marine vessels is investigated with model uncertainties and external disturbance. A Serret-Frenet frame based path following kinematics is first introduced. For the output feedback control design, an iterative learning observer (ILO) is established to estimate the system states, and a novel sliding mode backstepping approach is presented, which makes the control gain parameters easy for tuning. The overall closed-loop system is uniformly ultimately bounded based on Lyapunov stability theory. Comparative simulation results validate the effectiveness and disturbance rejection performance of the proposed methodology.
© 2019 Technical Committee on Control Theory, Chinese Association of Automation.

A new risk prediction assessment method of the ship micro-grid is proposed in the article. Firstly, the paper puts forward the MHMM（Multi Hidden Markov Model） algorithm to predict the state probabilities of components in the continuous time points in the future. Secondly, according to the influence of external environment, the working states of the components of micro-grid are predicted by using the MHMM algorithm. Thirdly, the risk assessment model of network topology of the micro-grid is built, and power flow analysis under the abnormal condition are repeatedly calculated by using the Monte Carlo simulation. Finally the risk prediction assessment results is given. The article also takes a ship micro-grid as an example and the risk prediction assessment method is verified.

This paper presents a robust terminal sliding mode controller based on the nonlinear disturbance observer for the longitudinal motion control of fully-submerged hydrofoil vessel（FSHV）.The nonlinear dynamic mode of the fully-submerged hydrofoil vessel is firstly established.In order to attenuate the influence of unknown external disturbance and parameter perturbations,the modified nonlinear disturbance observer（NDOB） is introduced.The nonsigular terminal sliding mode controller based on disturbance observer is designed to decrease the longitudinal attitude of the FSHV precisely.Finally,the Lyapunov function is utilized to verify the stability of the closed-loop system and the simulation results show the effectiveness of the proposed method.

The control component of a generator excitation system is key to its smooth operation and ability to effectively resist unexpected situations. In this study, we design a control strategy for the excitation system of a high-temperature superconducting motor that combines fuzzy control with conventional PID control. The method is based on a conventional PID with a fuzzy inference algorithm and variable universe fuzzy control added. Fuzzy control is realized by the computer processor through the selection of the scalable factor function model and fuzzy control rules, further improving the precision of the control system. To facilitate its transplantation into other control strategies, we adopt the discrete time system for the control strategy design. We establish an excitation system simulation, through which we compare fuzzy PID control and variable universe fuzzy PID control, and find that variable universe fuzzy PID control has better dynamic and static performance.
© 2018 The authors and IOS Press. All rights reserved.

This paper proposes a robust adaptive backstepping sliding mode control（ABSMC） algorithm for the speed regulation of a six-phase permanent magnet synchronous motor（PMSM）. In the proposed technique, ABSMC is used to guarantee the speed tracking and parameter perturbation suppression, meanwhile, nonlinear H is utilized to minimize the influence of fastvarying load disturbances on its tracking output. To increase the anti-interference robustness and parameter insensitivity of the drive system, an uncertainty observer based on the recurrent wavelet fuzzy neural network is designed and applied to the robust ABSM controller. The effectiveness of the proposed control algorithm is verified by experimental results.

The electromagnetic compatibility of PCB (printed circuit broads) has become a problem that must be considered by engineers while designing the circuits with the extending of signal frequency. In the paper, we proposed an improved modeling method that use the electric dipoles deduced from the near-field scanning technique in time domain to analyze the characteristic of PCB's electromagnetic compatibility. The array of dipoles can simulate the radiated emission of PCB including the ground plane working under high frequency. In the experiment, we got the tangential magnetic field distribution of the surface of PCB at different time by near-field scanning, with the tangential magnetic-field component, the orientation, magnitude and phase of the dipoles can be deduced. We used the proposed method to model a highly integrated chip and the strip lines around it placed on the top of PCB. An optimization scheme of the electric dipole array is carried out to reduce the number of dipoles which can improve the calculation speed. The results of time domain equivalent electric dipoles modeling and the near-field measuring result are nearly the same, this demonstrated the effectiveness and accuracy of the proposed method. The modeling method in this paper can offer a new way to study the electromagnetic interference of PCB.

For the characteristics of wave-piercing catamaran longitudinal motion when sailing with high speed in random waves, this paper proposes a state estimation algorithm for wave-piercing catamaran longitudinal motion based on EKF. On the one hand noise is filtered out from the noise pollution measurement signal as much as possible, and the desired signal is separated therefrom; on the other hand, all state information of the system can be obtained by simply selecting the pitch angle and heave displacement of wavepiercing catamaran. Theoretical analysis and simulation results show that the proposed state estimation algorithm can achieve satisfactory filtering accuracy and filtering efficiency.