Advanced Materials Research Vols. 562-564

Abstract: The nonlinear dynamics model is used to describe the change of aircraft icing thickness and icing deformation accelerations is viewed as dynamic noise in this paper. Then, a dynamic prediction model of aircraft icing thickness is established with the theory of adaptive kalman filter. And the adaptive kalman filter method based aircraft icing thickness prediction model is employed to forecast aircraft ground icing thickness and compared with support vector machine, BP neural network prediction method. The result of the instance simulation and analysis indicates that the adaptive kalman filter method based aircraft icing thickness prediction posed in this paper is reliable, simple and rapid, and the model has high prediction precision which can realize real-time tracking and prediction and has definite value of both theory and practice.

Abstract: Artificial bee colony algorithm (ABCA) is a novel swarm intelligence algorithm for global optimization. An efficient method based on ABCA is proposed for optimal tuning of robust proportional-integral-derivative (PID) controller in this paper. A multi-objective optimization is applied to balance several constraint factors of controller. Performance of robust PID controller is evaluated by a three-order and time-delay transfer function with 40%, 50% and 60% uncertainty, respectively. Simulation result clearly demonstrates that the designed controller can obtain an optimal tuning and endure parameter fluctuation. From comparisons of robust PID controller in different uncertainties, a conclusion can be obtained that performance of robust PID controller will be worse as the uncertainty increases, even obtain a divergent solution when the uncertainty is more than 60%.

Abstract: In order to control the greenhouse system of temperature, humidity, the concentration of carbon dioxide and some other environmental parameters during the plant seedlings process, design a greenhouse real-time monitoring system by using a PLC module, this system can realize the function of controling the various environmental parameters during he plant seedlings process to achieve the best environment plant growth process requirements.

Abstract: The paper introduces the project component of power carrier communication mode and communication system based on the spread spectrum communication theory. The methods of data transmission and spread spectrum technology applying in the coal mine communication systems are given. Paper analyzes the characteristics of signal and the feasibility of technique solutions for mine communications. The design possesses the strong practicability and operability.

Abstract: In this paper, a new robust controller design scheme integrating a nominal controller and a compensator is discussed. The nominal controller is designed for good performance of nominal system using nonlinear dynamic inverse control technique. The compensating controller can be seen as a standalone loop added to the system to compensate the effects of uncertainties guaranteeing the stability of the system. A nonlinear extended state observer-based compensator is proposed. The stability of the whole closed-loop system is analyzed. Application of the new robust control design method to attitude control of hypersonic flying vehicle is demonstrated with a 6-DOF simulation example.

Abstract: This paper deals with the proportional-integral control problem for a class of stochastic Markovian jum v-Krasovskii functional and free-weighting matrix method, the novel delay-dependent robust stabilization criterion for the stochastic Markovian jumping systems is formulated in terms of linear matrix inequality (LMI). When the LMI is feasible, an explicit expression of the desired proportional-integral controller is given. Designed controller, based on the obtained criterion, ensures asymptotically stable in the mean square sense of the resulting closed-loop system for all admissible uncertainties and time delay.

Abstract: In this paper, a method of detecting adult images based on AdaBoost was proposed. We focused on the detection of the adult images that have naked breasts or naked genitalia. By using basic and rotated Haar-like features extracted from the samples in the training set, we trained a cascade detector. The detector would classify the image whether to be a pornographic one or not. The results showed that this method achieved a high detection rate and a low false alarm rate.

Abstract: This paper presents a novel nonlinear adaptive filter-based the convex combination of two radial basis function (RBF) networks (CRBF), which is trained by the stochastic gradient (SG) learning algorithm with different step sizes. The combination approach can alleviate the compromises of fast convergence and low steady-state error for RBF networks. Moreover, it is also with better tracking capability than the RBF network. Experiments with nonlinear system identification illustrate that the desired behavior and robustness.

Abstract: UCAV efficiency evaluation system is used to evaluate the UCAV efficiency index and show the evaluation conclusions. The evaluation system is studied based on VxWorks that has high reliability and good real time character. The UCAV efficiency indexes are analyzed on this paper first. Then system function, system configuration and operating system are discussed. The key points of the system are also analyzed on this paper. At last, the collectivity designing mind of UCAV efficiency evaluation system is acquired. The system can finish the task of UCAV efficiency evaluation under the complex battle circumstance.

Abstract: Through the in-depth analysis on working trait and scheduling policy of straight Rail Guided Vehicle (RGV), a multi-objective genetic algorithm (GA) is proposed for RGV scheduling problems, of which the start-stop, waiting and complex task of the straight RGV was considered. On the base, the real-time scheduling policy of straight RGV is set up based on self-learning and the improved GA. The rule of encoding, selecting, crossover selection and variation probability of the model was studied, and the self-learning expert database and searching the optimal compromising solutions were given to enhance calculation efficiency. In closing, the results of simulation and engineering application show that the system captaincy of RGV is effectively improved, and the model is feasible and effective.