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The micro digital servo actuator is useful in same specific control system, many of the simulation researches of servo actuator are huge and used in large equipment as missiles, aircrafts and robots, so the simulation of micro digital servo actuator become very import in evaluate system control performance. So this article through the structure analysis of the micro actuator, combined with the parameters of the actuator and internal motor given by manufacturers, the mathematical models of each part in the actuator are established respectively. Then the simulation of the motor and the actuator mathematical models are designed by Matlab/Simulink. The simulation results show that the motion characteristics of the micro servo actuator under different loads are consistent with the physical micro servo actuator and the simulation model has high authenticity and reliability.

Inverted Pendulum System is a typical high-order nonlinear system and always used to verify the effectiveness of the control algorithm. This article uses the PID tracking control to predict the pendulum swing angle, and builds a real environment to verify the algorithm. Firstly, the inverted pendulum is analyzed and simulated to get its system characteristics. Then build a real physical model of the whole control system. Finally, based on the real system, this paper uses the double closed-loop PID control algorithm and PID tracking control algorithm individually to verify and compare control effect. The experimental result shows that the PID tracking control has good robustness and can avoid the logic contradiction of speed loop’s parameter adjustment in the typical double closed-loop algorithm and this algorithm has higher efficiency of the parameter adjustment and practicability.

In this paper, a 3780-point FFT algorithm combining of Good-Thomas, Cooley-Tukey, and WFTA algorithm is presented and its hardware implementation by using shift rules based on the analysis of the finite word length effect is described. The simulation results show that the output SNR meets the requirement of TDS-OFDM system.

This paper presents an obstacle avoidance control algorithm for mobile robot based on fuzzy controller. The environment information surrounding the robot detected by the ultrasonic sensors is firstly fuzzified, and then input into fuzzy control system. The output of the fuzzy control system is used to drive the robot. And the fuzzy control system in this paper is composed of dual fuzzy controllers, one is used to control the obstacle avoiding behavior when the robot is approaching obstacles, otherwise the other controls the robot to move to the goal. In this paper, the design of obstacle avoidance controller is described in detail, and the both are implemented by matlab. In order to obtain control information, it's necessary to fuse the output information of the two controllers. At last, simulation results show that the algorithm can help the robot to avoid obstacles safely and is certainly feasible.

An improving numerical method is provided in this paper for computing accurate Poincare Map. Arc-Length integration was introduced and self-adaptive step-length control was developed for avoiding the error accumulation caused by a sharp turn of trajectory within one integration step. Numeric examples are also given, and numeric results demonstrate its accuracy and application.

An SIR epidemic model with incubation time and saturated incidence rate is formulated, where the susceptibles are assumed to satisfy the logistic equation and the incidence term is of saturated form with the infective. Threshold quantity Ro is derived which determines whether the disease dies out or remains endemic. If Ro1, there will be an endemic and the disease is permanent if it initially exists.

Self-construal and impulse buying are hot research issues. Current research investigated how self-construal and normative evaluations affect impulse buying when shopping with others. Results of this study showed that self-construal has a different effect on impulse buying for consumers with different self-construal. Specifically, when shopping with company who tends to think impulse buying appropriate, the difference of impulse buying level is non-significant between interdependent and independent self-construal individuals; when shopping with company who tends to think impulse buying inappropriate, independent consumers buy significantly more impulsively than interdependent consumers. And the finding supports the hypothesized mediating role of consumers' normative evaluation.

In this paper, cyclostationarity of the V-BLAST MIMO OFDM signal is examined based on the model of MIMO OFDM systems in the wireless communication channel and the theory of cyclostationarity. Mathematical deduction and simulation results are both shown that the received MIMO OFDM signals is cyclostationary in the wireless communication channel. Meanwhile, if the received signal is sampled at the data rate, a cyclostationary sequence can be obtained. And if the received signal is oversampled, then a cyclostationary sequence with its cyclic period magnified along with the oversampled rate.

Coalition formation is a key topic in multi-agent systems. One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coalition structures is too large to allow exhaustive search for the optimal one. Furthermore, finding the optimal coalition structure is NP-hard. Thus emerges the meaningful problem: when practical applications can present required real bound on the worst case, and how to attain this demand via partial search? This paper reports on a novel algorithm based on cardinality structure: the bound Kges2 can be attained with searching of those coalition structures whose cardinality structure is in the CCS(n, K). Finally, experiments indicates the new algorithm is obviously better than existing algorithms.