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Adaptive optimal control for a class of nonlinear partially uncertain dynamic systems via policy iteration

Adaptive optimal control for a class of nonlinear partially ...

引用

International Conference on Intelligent control and Information Processing (ICICIP)

作者： Derong Liu Xiong Yang Hongliang Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, by employing an online algorithm based on policy iteration (PI), an adaptive optimal control problem for continuous-time (CT) nonlinear partially uncertain dynamic systems is investigated. In this proposed algorithm, a discounted cost function is discussed, which is considered to be a more general case for optimal control problems. Two neural networks (NNs) are used to implement the algorithm, which aims at approximating the cost function and the control law, respectively. The uniform convergence to the optimal control is proven, and the stability of the system is guaranteed. An illustrating example is given.

关键词： Optimal control Nonlinear systems Cost function Convergence Heuristic algorithms Equations Dynamic programming

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Soft-signed sparse coding for ground-based cloud classification

Soft-signed sparse coding for ground-based cloud classificat...

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International Conference on Pattern Recognition

作者： Shuang Liu Chunheng Wang Baihua Xiao Zhong Zhang Yunxue Shao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467322164

Traditional sparse coding has been successfully applied in texture and image classification in the past years. Yet such kind of method neglects the influence of the signs of coding coefficients, which may cause information loss in the sequential max pooling. In this paper, we propose a novel coding strategy for ground-based cloud classification, which is named soft-signed sparse coding. In our method, a constraint on the signs is explicitly added to the objective function of traditional sparse coding model, which can effectively regulate the ratio between the number of positive and negative non-zero coefficients. As a result, the proposed method can not only obtain low reconstruction error but also consider the influence of the signs of coding coefficients. The strategy is verified on two challenging cloud datasets, and the experimental results demonstrate the superior performance of our method compared with previous ones.

关键词： Encoding Image coding Clouds Dictionaries Vectors Image reconstruction Linear programming

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Parallel Bus Rapid Transit (BRT) operation management system based on ACP approach

Parallel Bus Rapid Transit (BRT) operation management system...

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IEEE International Conference on Networking, Sensing and control

作者： Gang Xiong Xisong Dong Dong Fan Fenghua Zhu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Bus Rapid Transit (BRT) is an effective way to increase urban traffic capacity. But its operation and scheduling optimization are difficult. In this article, Parallel BRT Operation management System (PBOMS) is constructed based on ACP approach. It can detect the passenger's quantity on station platforms in real-time, traffic flow besides stations or at intersections, and the queuing length of vehicles on the road lines. It can provide short-term passenger and traffic saturation prediction in order to arrange transportation management more accurately to relieve the congestion. It can assess, improve and optimize the emergency management during holidays, public events, accidents and other emergency situations. It can improve the quality of real-time scheduling functions by using the measurement results detected from traffic videos, and so on. This system has been piloted in Guangzhou Zhongshan Avenue BRT, which was applied for BRT's monitoring, warning, forecasting, emergency management, real-time scheduling and other purposes, to improve Guangzhou BRT's smoothness, safety, efficiency and reliability.

关键词： Vehicles Data models Real time systems Monitoring Scheduling Roads

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Parallel public transport management and control system for Guangzhou Asian Games

Parallel public transport management and control system for ...

引用

IEEE International Conference on Networking, Sensing and control

作者： Xisong Dong Gang Xiong Dong Fan Fenghua Zhu Yisheng Lv State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Public traffic is required for the convenient travel, reducing traffic congestion and accidents, low-carbon, environmental protection, sustainable development, and traffic demand of giant sports and large business activities, etc. For public transport demand of the 16th Asian Games and the 2010 Asian Para Games held in Guangzhou in 2010, based on ACP approach, Parallel Public Transport management And control System (PPTMS) for Guangzhou Asian Games had been developed to support management decision of public transport. This system can help public transport managers to improve and enhance significantly the level of public transport management in Guangzhou, from experience-based formulation and manual implementation to scientific computation-based formulation and automatic implementation with intelligent systems, to guarantee the traffic demand effectively during the two Games.

关键词： Games Indexes Vehicles Streaming media Security Accidents

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A real-time BRT signal priority approach through two-stage green extension

A real-time BRT signal priority approach through two-stage g...

引用

IEEE International Conference on Networking, Sensing and control

作者： Kunfeng Wang Fenghua Zhu National Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

To improve the operation efficiency and service levels of Bus Rapid Transit (BRT) systems, we propose a novel realtime BRT signal priority approach through two-stage green extension. For social justices, we control traffic signal lights under the people first principle after constructing BRT Internet of Things. This requests us to collect enough traffic information related to BRT vehicles, social vehicles, and in-vehicle passengers. We use DGPS/DR/MM to perceive BRT vehicles and use video cameras to perceive social vehicles and BRT passenger numbers. The perception data are then transmitted to the intersection signal controller through 3G wireless networks and optical fiber communication. In the application service layer, according to minimum green time, passive priority green time, and maximum green time, we divide green extension into two sequential stages based on different rules. In this way, we could balance traffic demands of BRT vehicles and social vehicles from each approach, and realize real-time BRT signal priority in a general sense.

关键词： Vehicles Real time systems Internet Delay Global Positioning System Optimization Green products

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Heuristic dynamic programming-based H∞ control of discrete-time affine nonlinear systems

Heuristic dynamic programming-based H∞ control of discrete-...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Hongliang Li Derong Liu Ding Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we solve the H ∞ control problems for discrete-time affine nonlinear systems with known dynamics. An iterative heuristic dynamic programming algorithm is derived and the convergence analysis is provided. Three neural networks are used to approximate the control policy, the disturbance policy, and the value function, respectively. A simulation example is presented to demonstrate the effectiveness of the proposed scheme.

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Contextual Fisher kernels for human action recognition

Contextual Fisher kernels for human action recognition

引用

International Conference on Pattern Recognition

作者： Zhong Zhang Chunheng Wang Baihua Xiao Wen Zhou Shuang Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In the literature of human action recognition, despite promising results have been obtained by the traditional bag-of-words model, the relationship among spatiotemporal points has rarely been considered. Furthermore, serious quantization error also exists in this kind of strategy. In this paper, we propose a novel coding strategy named contextual Fisher kernels to overcome these limitations. We add a Gaussian function to represent contextual information into the generative model. In this way, our method explicitly considers the spatio-temporal contextual relationships between interest points and alleviates quantization error. Our method is verified on two challenging datasets (KTH and UCF sports), and the experimental results demonstrate that our method achieves better results than the state-of-the-art methods in human action recognition.

关键词： Kernel Humans Context modeling Quantization Vectors Accuracy Covariance matrix

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A hierarchical networked urban traffic signal control system based on multi-agent

A hierarchical networked urban traffic signal control system...

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IEEE International Conference on Networking, Sensing and control

作者： Cheng Chen Zheng Jiang Li State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In this paper, we proposed an architecture of a hierarchical networked urban traffic signal control system Based on Multi-agent. With mobile agent technology, traffic control strategies are designed as traffic control agents, which can move from device to device in a network. The system can reconfigure and replace these agents according to inconstant states of traffic environment and performances of agents. By this way, demand-based control is realized in traffic signal control system. Then we described the details and key technologies in the procession of agent-generation, agent-storage and agent-usage. At last, a prototype of the system is developed and basic functions of this system are tested by simulations. These simulations also confirm extensibility and effectiveness of the system.

关键词： control systems Databases Organizations Vehicles Roads Mobile communication Aerospace electronics

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Sparse Representation based on Matrix Rank Minimization and K-Means Clustering for Recognition

Sparse Representation based on Matrix Rank Minimization and ...

引用

International Joint Conference on Neural Networks

作者： Long Ma Chunheng Wang Baihua Xiao State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China 100190

ISBN: (纸本)9781467314886

In this paper, we propose a sparse coding algorithm based on matrix rank minimization and k-means clustering and for recognition. We consider the problem of removing the noise in the training samples and generating more samples at the same time. To accomplish this, we extended the matrix rank minimization problem to cope with complex data. Samples from the same class are segmented into several groups by k-means clustering algorithm, and matrix rank minimization is applied on the clustered data to separate the noises and recover the low-rank structures in the grouped data. An over-complete dictionary is constructed by connecting the low-rank structures and the training samples together to keep the samples diversity. Sparse representation is operated based on this over-complete dictionary for recognition. Furthermore, a parameter is introduced to adjust the weighting of the coefficients that code the noises. We apply the proposed algorithm for character and face recognition. Experiments with improved performances validate the effectiveness of the proposed algorithm.

关键词： sparse representation Noise Recognition (Psychology) Rank of data matrices Sparse coding Dictionaries as Topic

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Adaptive Graph Cut Based Binarization of Video Text Images

Adaptive Graph Cut Based Binarization of Video Text Images

引用

IAPR International Workshop on Document Analysis systems, DAS

作者： Cunzhao Shi Baihua Xiao Chunheng Wang Yang Zhang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Interactive image segmentation which needs the user to give certain hard constraints has shown promising performance for object segmentation. In this paper, we consider characters in text image as a special kind of object, and propose an adaptive graph cut based text binarization method to segment text from background. The main contributions of the paper lie in: 1) in order to make the binarization local adaptive with uneven background, the text region image is firstly roughly split into several sub-images on which graph cut is applied, and 2) considering the unique characteristics of the text, we propose to automatically classify some pixels as text or background with high confidence, severed as hard constraints seeds for graph cut to extract text from background by spreading the seeds into the whole sub-image. The experimental results show that our approach could get better performance in both character extraction accuracy and recognition accuracy.

关键词： Image segmentation Image color analysis Image edge detection Character recognition Optical character recognition software Noise

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