{"title":"Memristor-based neural network PID controller for buck converter","authors":"Song Zhu, Lidan Wang, Shukai Duan","doi":"10.1109/ICICIP.2015.7388140","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388140","url":null,"abstract":"This paper applied spintronic memristors on the neural network PID controller to control the nonlinear and time-varying buck converter. The proposed method used spintronic memristor as electronic synapses to store the updated value, which can greatly simplify the implementation of hardware circuit and the weights updating algorithm. Meanwhile three-layers memristor-based BP neural network was designed and the algorithm of the PID control under this mechanism was also analyzed. Furthermore, computer simulation of buck converter working in continuous mode with the proposed controller presented superior performance in the aspects of follow-up, immunity and robustness, as well as fast response and small overshoot.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114438087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A new signal recovery method based on optimal uncertainty quantification in compressed sensing","authors":"Ming Li, Chenglin Wen","doi":"10.1109/ICICIP.2015.7388211","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388211","url":null,"abstract":"The existing signal recovery methods in compressed sensing (CS) viewed roughly noises or perturbations with statistical information as bounded constraints, which results in relatively poor recovery accuracy. This paper proposes a new signal recovery method based on optimal uncertainty quantification (OUQ) framework, which uses the statistical information of noises or perturbations. Firstly, we describe conventional CS problem using OUQ framework and form an equivalent finite-dimensional optimization problem. Then the solve approach of the finite-dimensional optimization problem is proposed. What is more, the partition method for high-dimensional signals is also proposed to solve the challenge that high-dimensional signals can not be solved effectively using OUQ framework. Finally, the simulation results are further presented to verify the effectiveness of the new signal recovery method.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123548814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ship's track keeping based on variable structure active-disturbance rejection control","authors":"Jun Ning, Jian Sun, Tie-shan Li, Wenming Qiao","doi":"10.1109/ICICIP.2015.7388208","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388208","url":null,"abstract":"In this paper, variable structure control is combined with nonlinear Active-Disturbance Rejection Control (ADRC) for ship's track keeping control under the influence of internal dynamic uncertainties and external disturbances. In this way the needed setting parameters are greatly reduced with no change of the intrinsic controller's advantages. Meanwhile through the design of dimension reduction equation, ship's track keeping control can regarded as a desired head following control. Simulation results show that the new controller is robust against the systemic variations and external disturbances, and owns preferable control effect, which can realize the accurate track keeping.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124122678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance analysis of different kriging interpolation methods based on air quality index in Wuhan","authors":"Yan Tong, Yanc Yu, Xingbang Hu, Li He","doi":"10.1109/ICICIP.2015.7388192","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388192","url":null,"abstract":"To explore the influence on interpolation results in different models of ordinary kriging interpolation methods and to validate their feasibility in practice, the interpolation experimental study using Spherical, Exponential and Gaussian models were carried out in this paper, based on the monthly average Air Quality Index data of 10 air quality sites in Wuhan, China. The interpolation results were qualitatively analyzed and quantitatively evaluated by the actual render effect and cross-validation method. The experimental results demonstrate that: (1) for the same data, the visual render effect in different models are almost the same in the whole, but the interpolation accuracies are different; (2) the Mean Standardized error and Root-Mean-Square error of the Spherical model are the largest; (3) the Mean error of the Exponential model is minimal, the Root-Mean-Square error is nearest to Average Standard Error, and its Root-Mean-Square Standardized error is closest to 1; (4) the Mean error of the Gaussian model is the largest, but both Mean Standardized error and Root-Mean-Square error are minimal, the Root-Mean-Square error is farthest away from Average Standard error, and also its Root-Mean-Square Standardized error is farthest away from the value 1.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132566814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chuanxue Song, F. Xiao, Shixin Song, Shaokun Li, Jianhua Li
{"title":"Stability control of 4WD electric vehicle with in-wheel-motors based on sliding mode control","authors":"Chuanxue Song, F. Xiao, Shixin Song, Shaokun Li, Jianhua Li","doi":"10.1109/ICICIP.2015.7388178","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388178","url":null,"abstract":"Direct yaw moment control can maintain the vehicle stability in critical situation. For four-wheel independently driven (4WD) electric vehicle with in-wheel motors (IWMs), direct yaw moment control (DYC) can be easily achieved. A fairly accurate calculation of the required yaw moment can improve vehicle stability. A novel sliding mode control (SMC) technique is employed for the motion control so as to track the desired vehicle motion, which is it for different working circumstances compared to the well-used traditional DYC. Through the weighted least square algorithm, the lower controller is used to determine the torque properly allocated to each wheel according to the desired yaw moment. Several actuator constraints are considered in the control strategy. In addition, a nonlinear tire model is utilized to improve the accuracy of tire lateral force estimation. Then, simulations are carried out and the values of vehicle states are compared. The simulation results show that the control system proposed can effectively improve the handling stability of the vehicle.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"37 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reinforcement learning based overtaking decision-making for highway autonomous driving","authors":"Xin Li, Xin Xu, L. Zuo","doi":"10.1109/ICICIP.2015.7388193","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388193","url":null,"abstract":"In this paper, we develop an intelligent overtaking decision-making method for highway autonomous driving. The key idea is to use reinforcement learning algorithms to learn an optimized policy via a series of simulated driving scenarios. A vehicle model based on data fitting of real vehicles as well as a traffic model is established to simulate driving scenarios and validation tests of obtained policies. Human driving experiences are considered in designing the reward function. A reinforcement learning method called the Q-learning algorithm is used to learn overtaking decision-making policies. Simulations show that our method can learn feasible overtaking policies in different traffic environments and the performance is comparable or even better than manually designed decision rules.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134629908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jianchao Fan, Jialan Chu, D. Jiang, Fanglei Liu, W. Yao
{"title":"Remote sensing images coastline detection based on geometric active contour models","authors":"Jianchao Fan, Jialan Chu, D. Jiang, Fanglei Liu, W. Yao","doi":"10.1109/ICICIP.2015.7388197","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388197","url":null,"abstract":"Monitoring coastline change is a significant task of coastal zone management and evolution research, and it is an important symbol for the study of the regional change of reclamation area. Remote sensing technology becomes an important approach of monitoring changes in the coastline by virtue of its high efficiency, wide range and low cost. Taking the Beidaihe coast as an example, the coastline extraction of SAR and Landsat TM images is extracted based on the geometrical active contour model. This method through setting the initial contour, regards the movement of contour curve as synthesize of force, and minimizes the energy function. It makes the initial contour approximate to the real object boundary. The result shows that the method can effectively extract the continuous and complete coastline from different kinds of remote sensing images.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131167472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Synthesis of robust PID controllers via stability methods for a wastewater treatment","authors":"Xinghong Qiao, Fei Luo, Yuge Xu","doi":"10.1109/ICICIP.2015.7388171","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388171","url":null,"abstract":"This paper proposes a novel method to synthesize robust PID (proportional integral derivative) controller via Kharitonov's theorem and genetic algorithm for wastewater treatment. The H∞ specifications and Kharitonov's theorem result to solve a non-convex optimal problem subjected to several inequality constraints. The genetic algorithm is used to search the robust PID controller parameters wihout solving the steady-state Riccati equations. The novel robust PID is applicated for simplified Activated Sludge Model No.1 (ASM1) to keep the concentration of the biomass proportional to the influent flow rate with model uncertainties. Simulation shows that the algorithm is simple and effective for uncertain wastewater treatment.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The study on firing advance angle and start-up opportunity of the initiative acoustic homing equipment of dual-speed acoustic homing torpedo","authors":"Hongcan Hu, Ming Zhou","doi":"10.1109/ICICIP.2015.7388183","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388183","url":null,"abstract":"The firing advance angle and start-up opportunity of initiative acoustic homing equipment of dual-speed torpedo are the important launching parameters, in this paper, the anti-submarine characteristic of dual-speed acoustic homing torpedo in target searching section is analyzed firstly, a conception of advance angle range and the principle of start-up opportunity of acoustic homing equipment are presented according to speed changing in straight-running segment, then the calculation model is structured based on the course stay the same before and after the torpedo speed changing, Finally the mathematical model is emulated using the iterative method and the result show that the model is reasonable and convenient.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The design of the valve controller on stratospheric airship based on wireless sensor network","authors":"Run Su, Dongyong Jin, Wei Wu, Zhen-Wei Hao","doi":"10.1109/ICICIP.2015.7388199","DOIUrl":"https://doi.org/10.1109/ICICIP.2015.7388199","url":null,"abstract":"The valve controller design based on wireless sensor network was presented to stratospheric environment. This thesis introduced the system components and the internal structure of the valve controller, and explained the design of software, hardware and environmental control. The program has the advantages to save weight and install easily, provided a design method for the valve control of stratospheric airship.","PeriodicalId":265426,"journal":{"name":"2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121047844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}