Conference Program of WCICA 2012

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Conference Program WCICA 2012 Gui, Weihua Central South Univ. Sun, Xue Nanjing Normal Univ. This paper investigates parametric stability of nonlinear systems with uncertain parameters based on decentralized control. The main concern is that the equilibrium of the closed-loop system drifts with the change of the parameters. First, the impact of the parameters on the equilibrium location is investigated. Then, a decentralized linear controller is designed to make the closed-loop system parametrically stable. The proposed method combines different optimization techniques to produce a robust control that accounts for uncertain parametric variations, and the corresponding equilibrium shifts. Finally, simulation results are given to show the effectiveness of the proposed method. SuA02 13:30–15:30 Room 203B Multi-Agent Systems (I) Chair: Cai, Yunze Co-Chair: Zhang, Zhenning Shanghai Jiao Tong Univ. Chinese Acad. of Sci. ◮ SuA02-1 13:30–13:50 Multi-agent Competitive Control Systems, pp.2263–2267 Zhang, Zhenning Cheng, Daizhan Chinese Acad. of Sci. Chinese Acad. of Sci. In this paper, we consider the multi-agent competitive control systems with varying adjacent topology. The dynamics and the performance of each agent of the multi-agent system depend on both itself and its neighborhood. The optimal solutions are the Nash equilibriums, which are determined by coupled Hamilton-Jacobi-Bellman equations. We mainly concern with continuous-time affine nonlinear systems and linear systems. Finally, a two-agent linear control system is used to illustrate our results, where the two agents are related through a periodic switching. ◮ SuA02-2 13:50–14:10 Flocking of Multi-Agents Based on Consensus Protocol and Pinning Control, pp.1311–1316 He, Chenlong Feng, Zuren Ren, Zhigang Xi’an Jiaotong Univ. Xi’an Jiaotong Univ. Xi’an Jiaotong Univ. In this paper we propose three controllers for flocking of multi-agent system, which are basic linear controller, controller with actuator saturation and controller with time delay under the condition that the information exchanging topology of agents is connected and fixed. Each controller is composed of two components as consensus algorithms for making the entire agents converge to a common state and pinning control for guiding the agents to the desired moving direction. The stability of controllers is analyzed and the effectiveness of controllers is demonstrated by numerical simulation. ◮ SuA02-3 14:10–14:30 Distributed Event-triggered Tracking Control of Multi-Agent Systems with Active Leader, pp.1453–1458 Zhang, Yanqiong Acad. of Mathematics & Sys. Sci., Chinese Acad. of Sci. Hong, Yiguang Chinese Acad. of Sci. Event-triggered control is an effective protocol to design distributed control of multi-agent systems with the limited resources. In this paper, we consider a multi-agent tracking problem for a linear active leader based on event-triggered control. The state of the leader keeps changing and may not be measured. To estimate the state such a leader individually, a neighbor-based local controller together with a neighbor-based state-estimation rule is given for each autonomous agent, and the communication of the agents under consideration is event-driven. Then we prove that, with a constructed common Lyapunov function for switching topology, each agent can track the active leader with unmeasurable states. ◮ SuA02-4 14:30–14:50 On Necessary and Sufficient Conditions of the Consensusabilityfor Second-order Discrete Multi-agent Systems, pp.1727–1732 Zhu, Jiandong Nanjing Normal Univ. In this paper, necessary and sufficient conditions of the consensusability are obtained for second-order discrete multi-agent systems without assuming that all the eigenvalues of each agent’s dynamical equation lie on or outside the unit circle, which is a basic assumption in [1]. The obtained results show that, if each agent’s dynamical equation has a stable eigenvalue, the condition ∏︀ j |λu j (A)| < (1 + r)/(1 − r) obtained in [1] may not be necessary anymore, where λ u j (A) denotes each unstable eigenvalue of the coefficient matrix A of every agent and r the eigenratio of the graph. Consensus protocols are designed for some numerical examples that do not satisfy the above condition in [1]. Moreover, using the proposed method in this paper, all the possible control gains can be designed constructively. ◮ SuA02-5 14:50–15:10 Distributed Filtering Basing Consensus for the Local Strongly Coupled Systems, pp.1801–1805 Cai, Yunze Wang, Hua O. Xu, Xiaoming Shanghai Jiao Tong Univ. Boston Univ. Shanghai Jiao Tong Univesity; The interactions between subsystems are important for large-scale systems. We introduce a local strongly coupled system which coupled by random communication between subsystems. Due to the intermittent communication, it is difficult to apply the standard Kalman or robust filter to design procedures to such systems. In this paper, we addressed the distributed robust filter design method for this kind of system based on consensus idea. The main result is a sufficient condition which guarantees a suboptimal level of disagreement of estimates in a coupled network of estimators. The condition is formulated in terms of feasibility of biaffine matrix inequalities (BMIs). The generic algorithm is used to treat the bilinear relation between filter parameters and the interconnection gains. The proposed approach is applied to the problem of formation-based robust synchronization. The numerical simulations show the effectiveness of the proposed filtering method. ◮ SuA02-6 15:10–15:30 Decentralized Sweep Algorithm of Multi-agent Systems with Adaptive Workload Assignment, pp.4320–4325 Zhai, Chao Hong, Yiguang Chinese Acad. of Sci. Chinese Acad. of Sci. This paper discusses decentralized sweep coverage of a given region with parametric uncertainties by multiple agents. With parametric uncertainty in the environment, we present an adaptive sweep coverage algorithm to guarantee the region coverage by sweeping and workload partition. The adaptive technique with persistence condition is employed to sweep an unbounded region, and the upper bound for the extra time spent due to the environmental uncertainty is estimated for the covered region. SuA03 13:30–15:30 Room 203C Image Processing Chair: Yang, Wankou Co-Chair: Yu, Xiao Southeast Univ. Univ. of Sci. & Tech. Beijing ◮ SuA03-1 13:30–13:50 Compression of MR-Thermometry Images Using Reduced-Order Karhunen-Lo‘eve Basis, pp.4655–4660 Niu, Ran GE Global Research (Shanghai) In this paper, we develop an approach to achieve MR thermal image compression by exploiting the spatial correlations of image voxels during thermal treatment. A set of reduced-order basis was identified using Karhunen-Lo‘eve (KL) decomposition of MR thermal images. Each image can be compressed with a relative small number of identified KL basis functions. The proposed approach can be used in real-time compression of imaging data in order to minimize a potentially massive amount of information that must be exchanged between the MR scanner and the treatment controller, and reduce computer storage requirements during thermal treatment. Simulation and MR thermometry experimental results demonstrate that the proposed image compres- 206
WCICA 2012 Book of Abstracts: Sunday Sessions sion method is also effective in suppressing high spatial-frequency MR measurement noises. ◮ SuA03-2 13:50–14:10 Local Linear Regression Classifier for Image Recognition, pp.4732– 4736 Yang, Wankou Sun, Changyin Ricanek, Karl XIA, Jianwei Southeast Univ. Southeast Univ. UNC Wilmingtong Liaocheng Univ. In the past several decades, much work has been done to design classifiers. Inspired by the locality idea of manifold learning, a local linear regression classifier (LLR classifier) is given in this paper. The proposed classifier consists of three steps. The first step is to search k nearest neighbors of a test sample from each special class, respectively. The second step is to reconstruct the test sample based on the k nearest neighbors from each special class, respectively. The third step is to classify the test sample according to the minimum reconstruct error. The proposed local linear regression classifier is evaluated on the CENPAMI handwritten number database, the ORL face image database and the ORL face image database. The experimental results demonstrate that an LLR classifier is effective in classification, leading to promising image recognition performance. ◮ SuA03-3 14:10–14:30 Key Frames-Based Video Super-Resolution Using Adaptive Overlapped Block Motion Compensation, pp.4712–4716 Ge, Jing Zhang, Boyang Liu, Ju Shandong Univ. Shandong Univ. Shandong Univ. A video super resolution algorithm is presented, which is based key frame and adaptive overlapped block motion compensation(AOBMC). First, the key frames are high resolution frames and are seen as references; non-key frames are low resolution frames and are up-sampled the same size as the key frames. Then, non-key frames are super resolved by adaptive overlapped block motion compensation using adjacent high resolution key frames. The experimental results indicate the improved performance of proposed super-resolution algorithm on both the subjective visual quality and PSNR. ◮ SuA03-4 14:30–14:50 Fast Monotonic Blind Deconvolution Algorithm for Constrained TV Based Image Restoration, pp.4682–4687 Liu, Haiying Lu, W.-S. Fu, Yanan Cheng, Yu Yan, Tingfang Li, Teng Meng, Max, Q.-H. Shandong Unversity Univ. of victoria shandong Univ. Shandong Univ. Shandong Univ. Shandong Univ. The Chinese Univ. of Hong Kong A new fast monotonic blind deconvolution algorithmic method is investigated based on the constrained variational minimization framework under the periodic boundary conditions. The contributions of our methodology are that the blur operator identification and image restoration can be simultaneously optimized even under high noise level as compared to previous methods. Specifically, the monotone fast iterative shrinkage/thresholding algorithm (MFISTA) combined with the fast gradient projection (FGP) algorithm, is extended to deal with our new proposed algorithm and guarantee the monotonic convergence rate. In addition, the deblurring subproblem is enhanced by incorporating a bisection technique to effectively identify a near optimal value for the regularization parameter of the TV-Frobenius objective function quickly and accurately. Initial experimental results for gray satellite and color wireless capsule endoscopy (WCE) images demonstrate the considerable performance of the proposed algorithm. ◮ SuA03-5 14:50–15:10 Application of Artificial Immune Algorithm in Image Segmentation Based on Immune Field, pp.4691–4695 Yu, Xiao Fu, Dongmei Yang, Tao Univ. of Sci. & Tech. Beijing Univ. of Sci. & Tech.,Beijing Univ. of Sci. & Tech., Beijing Image segmentation is one of the classic problems in image processing and computer vision field. Existed algorithms do not always reach a satisfactory purpose in fuzzy image segmentation. This paper is inspired by new development of medical immunology and proposes an artificial immune algorithm based on immune field. First, the article gives the concept of innate immune field, adaptive field and the immune field by learning from the operating mechanism between innate immune system and adaptive immune system. Second, the paper builds an artificial immune network of combination between innate immune and adaptive immune to divide the antigen feature space. This novel artificial immune algorithm is used for segmenting of object, background and thermal d- iffusion region in sheltered infrared image. Experimental results show that the method we proposed can solve the problem of incomplete target and edge distortion, and have a comparatively satisfying result with comparison to some segmentation methods, such as immune template, Prewitt operator, Sobel operator and negative selection. ◮ SuA03-6 15:10–15:30 A Mixed Edge Based Text Detection Method by Applying Image Complexity Analysis, pp.4809–4814 Li, Minhua Bai, Meng Shandong Univ. of Sci. & Tech. Shandong Univ. of Sci. & Tech. To detect text from an image with a different background, an adaptive text detection method based on image complexity analysis is proposed. Before text detection, this approach adopts an image complexity analysis step to classify image complexity into three categories: low complexity, middle complexity and high complexity. Then images with different complexity adopt different methods to extract image edges. The proposed text detection method takes a coarse to fine detection strategy which combines the edge-based method, connected component based method and the texture based method into a framework. Experimental results demonstrate the performance of the proposed method. SuA04 13:30–15:30 Room 203D Intelligent Managenment and Decision Making Chair: Wang, Ya-hui Beijing Univ. of Civil Engineering & Architecture Co-Chair: Dong, Xisong Inst. of Automation, Chinese Acad. of Sci., ◮ SuA04-1 13:30–13:50 Aided Decision-Making System of Public Transport Management for Guangzhou Asian Games, pp.3993–3998 Dong, Xisong XIONG, Gang Dong, Fan Zhu, Fenghua LIU, Sheng Inst. of Automation, Chinese Acad. of Sci., Inst. of Automation,Chinese Acad. of Sci. CAISA Inst. of Automation, Chinese Acad. of Sci. Inst. of Automation,Chinese Acad. of Sci. For spectators and public transport demand during the 16th Asian Games and the first Asian Para Games held in Guangzhou in 2010, Aided Decision-Making System of Public Transportation Management for Guangzhou Asian Games had been developed to support public transport management decision. It can help public transport managers to enhance the level of public transport management from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation by intelligent systems, to guarantee the traffic demand effectively during the games, and to improve the management of public transportation significantly. ◮ SuA04-2 13:50–14:10 Service Oriented Resource Configuration Estimation and Optimization in Cloud Computing–an Artificial Enterprise Method, pp.4004–4009 LIU, Sheng Zhu, Fenghua Zhao, Hongxia YAO, Jian-shi Inst. of Automation,Chinese Acad. of Sci. Inst. of Automation, Chinese Acad. of Sci. Chinese Acad. of Sci. The Chinese People’s Liberation Army At present service oriented resource configuration analysis and optimization research only takes computing resources into account. It fails 207
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WCICA 2012 The 10 th World Congress
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