Search

This paper proposes a hybrid feature extraction-based intrusion discrimination scheme for an optical fiber perimeter security system, which concurrently possesses high classification rate and high efficiency. The high classification rate lies in two aspects: On one hand, plentiful contents (including bandwidth segmentation in frequency domain, kurtosis in statistics, and the zero-crossing rate in time domain) are incorporated into the proposed hybrid feature vector; on the other hand, a configurable filter bank is adopted to reduce the intercoupling between features in the hybrid vector. The high efficiency also arises for two reasons: For one thing, the configurable filter bank works in a pipeline stream; for another, an efficient support vector machine is employed to classify hybrid vectors. Experiments demonstrated that the proposed scheme can accurately identify four common intrusions (fence climbing, knocking the cable, waggling, and fence cutting) with an average recognition rate higher than 94%. Moreover, the recognition efficiency is also high.

The regional integrated energy system refers to a system that contains a variety of heterogeneous energy sources such as oil, natural gas, electric energy, heat, and wind energy in a certain area. As we know, wind's uncertainty and volatility challenge the operational optimization of integrated energy systems. In this paper, the importance scene method is used to model the randomness of wind power output, and a mixed integer programming model of regional integrated energy system including capacity and energy storage equipment is established. Finally, the important scenario analysis method is applied to the random operation optimization problem of regional integrated energy system. The effectiveness of the method is verified by simulation experiments.

A T-S fuzzy control scheme is designed for unicycle robots. First, a Lagrange method is used to model unicycle robots. Second, based on the established model, a T-S fuzzy approach is used to linearize the dynamics model of unicycle robots. Then, a parallel distributed compensator (PDC) is proposed, which is obtained by the linear matrix inequality approach. Third, stability criterions on unicycle robots with the proposed control scheme are expressed through using LMI tools. Finally, the effectiveness of the proposed control scheme is illustrated for unicycle robots.

This paper is concerned with the event-triggered finite-time control scheme for unicycle robots. First, Lagrange method is used to model the unicycle robot at the roll and pitch axis. Second, on the basis of the established model, an event-triggered finite-time control scheme is proposed to balance the unicycle robot in finite time and to determine whether or not control input should be updated. The control input should be only updated when the triggering condition is violated. As a result, the switching energy of actor can be saved. Third, a stability criterion on unicycle robots with the proposed event-trigged finite-time control scheme is derived by using a Lyapunov method. Finally, the effectiveness of the event-triggered finite-time control scheme is illustrated for unicycle robots.

This paper deals with the problem of posture control for a unicycle (single-wheel) robot by designing and analyzing a finite-time posture control strategy. The unicycle robot consists of a lower rotating wheel, an upper rotating disk, and a robot body. The rotating wheel enables the unicycle robot to move forward and backward to obtain pitch (longitudinal) balance. The rotating disk is used for obtaining roll (lateral) balance. Therefore, the unicycle robot can be viewed as a mobile inverted pendulum for the pitch axis and a reaction-wheel pendulum for the roll axis. The dynamics models for unicycle robots at roll and pitch axes are derived using the Lagrange equation. According to the dynamics models, two finite-time controller are designed, which includes the finite-time roll controller and the finite-time pitch controller. Moreover, the stability on the unicycle robot with the proposed finite-time posture control strategy is also analyzed. Finally, simulations are worked out to illustrate the effectiveness of the finite-time posture control strategy for the unicycle robot at roll and pitch axes.

The side-lobes of strong target in conventional SAR image always impact the image qualities, sometimes submerge the weak targets. A novel SAR scheme with ultra-low range PSLR performance was proposed, by employing CC-S as SAR transmitted waveform. The CC-S coding waveform was utilized to acquired ultra-low range PSLR performance, by mutually canceled the side-lobes. As the CC-S is composed of groups of self-complementary sequences, each sequences should be transmitted with proper scheme, and the receiving time difference of each sequences should be compensated. Furthermore, the image formation algorithm for accurately focusing raw data of the SAR system was also proposed. Computer simulation results were presented, which demonstrated the validity of the proposed SAR scheme and image formation algorithm.