Conference Program of WCICA 2012

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Conference Program WCICA 2012 on the uncertain couplings. ◮ FrA10-5 14:50–15:10 State Estimation for a Class of Nonlinear Systems with Multi-package Transmission, pp.2221–2226 Wang, Xiaofeng He, Xiao Wang, Zidong Tsinghua Univ. Tsinghua Univ. Tsinghua Univ. In this paper, the state estimation problem for a class of nonlinear systems with multiple channels and correlated noises is studied in the framework of Extended Kalman Filter (EKF). In networked systems, when sensors are distributed in a large spatial area and multiple channels are employed to transfer data from different sensors, measurements may be lost at different rates. A diagonal matrix is utilized to describe this phenomenon and an unbiased optimal nonlinear filter is constructed in the least mean square sense. An illustrative example is provided and the comparison of the results between our method and the EKF shows the effectiveness of the proposed approach. ◮ FrA10-6 15:10–15:30 Kalman Filtering with Scheduled Measurements - Part I: Estimation Framework, pp.2251–2256 You, Keyou Xie, Lihua Nanyang Technological Univ. Nanyang Technological Univ. This paper proposes an estimation framework under scheduled measurements for linear discrete-time stochastic systems. Both controllable and uncontrollable schedulers are considered. Under a controllable scheduler, only the normalized measurement innovation greater than a threshold will be communicated to the estimator. While under an uncontrollable scheduler, the time duration between consecutive sensor communications is triggered by an independent and identically distributed process. For both types of scheduler, recursive estimators that achieve the minimum mean square estimation error are derived, respectively. Moreover, necessary and sufficient conditions for stability of the mean square estimation error are provided. FrA11 13:30–15:30 Room 311C Invited Session: Intelligent Optimization and Evolutionary Computation (I) Chair: Chen, Jie Co-Chair: Wang, Ling Beijing Inst. of Tech. Tsinghua Univ. ◮ FrA11-1 13:30–13:50 Online Route Planning for UAV Based on Model Predictive Control and Particle Swarm Optimization Algorithm, pp.397–401 Peng, Zhihong Li, Bo Chen, Xiaotian Wu, Jin Ping Beijing Inst. of Tech. Beijing Inst. of Tech. Sci. & Tech. on Complex Land Sys. Simulation Laboratory Beijing Inst. of Tech. Based on the model predictive control (MPC) and particle swarm optimization (PSO) algorithm, an online three-dimension route planning algorithm is proposed in this paper for UAV under the partially known task environment with appearing threats. By using the preplanningonline route tracking pattern, a reference route is planned in advance according to the known environment information. During the flight, the UAV tracks the reference route and detects the information of the environment and threats. Based on the MPC and PSO algorithm, the online route planning can be achieved by means of route prediction and receding horizon optimization. In such a case, UAV can avoid the known and appearing threats successfully. Compared to the traditional online route planning algorithm, the proposed method, by making use of the partially known information, can reduce the complexity, and meanwhile improve the real-time and the feasibility of the planning route. Simulation results demonstrate the effectiveness of the proposed algorithm. ◮ FrA11-2 13:50–14:10 Surrogate Models for User’s Evaluations base on Weighted Support Vector Machine in IGAs, pp.144–149 Yang, Lei China Univ. of Mining & Tech. Gong, Dunwei Sun, Xiaoyan Sun, Jing China Univ. of Mining & Tech. China Univ. of Mining & Tech. China Univ. of Mining & Tech. Interactive genetic algorithms (IGAs) are effective methods of tackling optimization problems involving qualitative indices by incorporating a user’s evaluations into traditional genetic algorithms. The problem of user fatigue resulting from the user’s evaluations, however, has a negative influence on the performance of these algorithms. Substituting the user’s evaluations with various surrogate models is beneficial to alleviate user fatigue. Previous studies, however, have not taken full advantage of information provided by samples obtained earlier when constructing or updating these models. We focus on the issue of user fatigue in this study, and present a novel method of effectively alleviating user fatigue by substituting the user’s evaluations with a weighted support vector machine (WSVM) and by incorporating it with the mechanism of transfer learning. The proposed method is applied to the fashion evolutionary design system and compared with previous effective IGAs. The experimental results confirm the advantage of the proposed method in both alleviating user fatigue and improving the precision of the surrogate model. ◮ FrA11-3 14:10–14:30 A Hybrid Algorithm Based on Simplex Search and Differential Evolution for Hybrid Flow-shop Scheduling , pp.643–648 Xu, Ye Wang, Ling Wang, Shengyao Tsinghua Univ. Tsinghua Univ. Tsinghua Univ. An effective hybrid algorithm by merging the searching mechanisms of Nelder-Mead (NM) simplex method and differential evolution (DE) is proposed to solve the hybrid flow-shop problem (HFSP) in this paper. By using a special encoding, the NM and DE methods can be used to solve permutation based combinatorial optimization problems. By combining the DE based global search and NM method based local search, the exploration and exploitation abilities are enhanced and well balanced for solving the HFSP. Numerical testing results and comparisons show that the proposed algorithm is effective, efficient and robust in solving the HFSP. ◮ FrA11-4 14:30–14:50 A Compact Estimation of Distribution Algorithm for Solving Hybrid Flowshop Scheduling Problem, pp.649–653 Wang, Shengyao Wang, Ling Xu, Ye Tsinghua Univ. Tsinghua Univ. Tsinghua Univ. According to the characteristics of the hybrid flow-shop scheduling problem (HFSP), the permutation based encoding and decoding schemes are designed and a probability model for describing the distribution of the solution space is built to propose a compact estimation of distribution algorithm (cEDA) in this paper. The algorithm uses only t- wo individuals by sampling based on the probability model and updates the parameters of the probability model with the selected individual. The cEDA is efficient and easy to implement due to its low complexity and comparatively few parameters. Simulation results based on some widely-used instances and comparisons with some existing algorithms demonstrate the effectiveness and efficiency of the proposed compact estimation of distribution algorithm. The influence of the key parameter on the performance is investigated as well. ◮ FrA11-5 14:50–15:10 A Memetic PSO based KNN Regression Method for Cycle Time Prediction in a Wafer Fab, pp.474–478 Ni, Jiacheng Tongji univ In this paper, cycle time prediction of wafer lots is studied. A memetic algorithm called GSMPSO by combining the PSO with a Gaussian mutation operator and a Simulated Annealing (SA)-based local search operator is developed to weight the features for K Nearest Neighbors (KNN) regression. The GSMPSO-KNN regression method is adopted to predict the cycle time of wafer lots. The experiment result demon- 100
WCICA 2012 Book of Abstracts: Friday Sessions strates that a more accurate result can be obtained by the proposed method compared with some other prediction methods. The critical factors affecting the cycle time of wafer lots can also be extracted by the proposed method. FrB01 15:50–17:50 Room 203A Intelligent Control and Automation (II) Chair: Zhang, Tianping Co-Chair: Li, Dazi Yangzhou Univ. Beijing Univ. of Chemical Tech. ◮ FrB01-1 15:50–16:10 Adaptive Dynamic Surface Control of Nonlinear Systems with Perturbed Uncertainties in Strict-Feedback Form, pp.24–29 Zhang, Tianping Shi, Xiaocheng Yang, Yuequan Gao, Huating Yangzhou Univ. Yangzhou Univ. Yangzhou Univ., China Yangzhou Univ. Based on the approximation capability of radial basis neural networks and the integral-type Lyapunov function, adaptive dynamic surface control(DSC) is investigated for a class of strict-feedback nonlinear systems with unknown virtual control gain functions. The main advantages of the proposed scheme are that only one parameter is adjusted in the whole backstepping design by using Young’s inequality and dynamic surface control, and the computational burden is effectively alleviated. By theoretical analysis, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded, with arbitrary small tracking error by appropriately choosing design constants. Simulation results demonstrate the effectiveness of the proposed method. ◮ FrB01-2 16:10–16:30 A Resource-Allocating Network Based on Local Conditions and it’s application in Prediction of nonlinear systems, pp.326–330 Qi, Wenyuan Li, Dazi Beijing Univ. of Chemical Tech. Beijing Univ. of Chemical Tech. In this paper, a resource-allocating network based on local conditions (RAN-LC) is proposed to avoid the existing problems of RAN. This method gets the initial hidden nodes by using K-means clustering algorithm and the characteristics of activation function, and it utilizes new Novelty Criterion based on local conditions instead of the old one to keep the network neat and efficient. Moreover, it adopts Multi-patterns to enhance the generalization ability of network in the state of parameters adjustment. The simulation results show that this method can generate network quickly and more reasonable. The network generated finally has good performance and also works well in the prediction of nonlinear systems. ◮ FrB01-3 16:30–16:50 Fuzzy Guaranteed Cost Control Design for Uncertain Chaotic System with polytopic uncertainty , pp.180–184 Liu, Yuyan ZHOU, Shiliang Hao, Zulong North China Electric Power Univ. North China Electric Power Univ. North China Electric Power Univ. Fuzzy guaranteed cost controller design method for uncertain chaotic system stability control is addressed. Uncertain chaotic system is expressed by T-S fuzzy model with polytopic uncertainty, and then sufficient condition for global T-S fuzzy system stability and solving algorithm for state feedback fuzzy guaranteed cost controller are given. Simulation is made for uncertain Lorenz chaotic system with fixed parameter or time-varying parameters, and simulation results show control system designed by the given method has good control performance and robust stability. ◮ FrB01-4 16:50–17:10 Diffusion Source Localization with a Water-proof Boundary, pp.164– 169 Luan, Fan Chai, Li Wuhan Univ. of Sci. & Tech. Wuhan Univ. of Sci. & Tech. Yang, Jun Engineering Research Center of Metallurgical Automation & Measurement Tech.,Ministry of EducationInsitution The source localization problem is studied for a pollution source close to a water-proof boundary. An approximation method using the elementary analytic function is applied to the density attenuation model, which provides easy and fast localization algorithm. Two different algorithms are proposed for the pollution source localization based on the information sent by wireless sensor networks. While one algorithm, which is based on time and concentration, can localize the source with small delay, the other, which is based only on concentration of the steady state, can provide better localization accuracy and robustness. Simulation results are given to demonstrate the effectiveness of the proposed algorithms. ◮ FrB01-5 17:10–17:30 Hierarchical Coordination Control Method for Near Space Flight Vehicle with Aero and Direct Force Actuators, pp.255–259 Chao, Tao Wang, Songyan Yang, Ming Harbin Inst. of Tech. HIt HIT Proposed an attitude control method based on hybrid dynamic system theory and hierarchical coordination control for near space vehicle with both aero and direct force actuators, called blended actuators vehicle (BAV). The mathematical model of BAV was derived and the hybrid dynamic system characteristics of the vehicle were analyzed. A hierarchical control framework with two level controllers for BAV was presented and described as hybrid automaton. Design method for the two level controllers was given. The usefulness and effectiveness of the proposed hierarchical coordination control method were demonstrated through numerical simulation. The results showed that the vehicle accomplished guidance and control mission successfully under the control of the designed controllers, though there were modeling uncertainty and disturbances. The hierarchical coordination control method is a useful way to design attitude controllers for BAV. ◮ FrB01-6 17:30–17:50 Kalman Filter Restraining Outliers for Short Baseline System, pp.322– 325 Qiao, Gang Li, Zhuang Sun, Zongxin Nie, Donghu Cui, Haiyue Haerbin Engineering Univ. Haerbin Engineering Univ. heu heu Harbin Inst. of Tech. In short baseline underwater acoustic positioning system, the outliers will be included in measurement data because of noise and multi-path channel environment. In this paper, we introduce a modiﬁed Kalman ﬁlter that can perform robust based on innovation variance, this method solves the problem of filtering divergence effectively by modifying the supplement matrix. Finally the processing result of the experiment data in lake is given. The experiment result indicates that using the method can be efficiently a smooth processing to the localization result. FrB02 15:50–17:50 Room 203B Computational Intelligence and Applications (II) Chair: Mo, Hong Co-Chair: Wang, Ning Changsha Univ. of Sci. & Tech. Dalian Maritime Univ. ◮ FrB02-1 15:50–16:10 Online Self-constructing Fuzzy Neural Identification for Ship Motion Dynamics Based on MMG Model, pp.458–463 Wang, Ning Niu, Xiaobing Liu, Yudong Dalian Maritime Univ. Dalian Maritime Univ. Dalian Maritime Univ. In this paper, an online self-constructing fuzzy neural identification for MMG ship motion model is clearly identified by using the promising Generalized Ellipsoidal Function Based Fuzzy Neural Network (GEBF- FNN) method. Nonlinear differential equations of MMG-type ship mo- 101
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WCICA 2012 The 10 th World Congress
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