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检索条件"机构=Key Laboratory of Advanced Control and Optimization for Chemical Processes"

共 633 条记录，以下是361-370 订阅

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Stability Analysis of Full Form Dynamic Linearization controller Based Data-driven Model Free Adaptive control

Stability Analysis of Full Form Dynamic Linearization Contro...

引用

第28届中国控制与决策会议

作者： Yuanming Zhu Shangtai Jin IEEE Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Advanced Control System Laboratory Beijing Jiaotong University

ISBN: (纸本)9781467397155

Full form dynamic linearization controller based data-driven model free adaptive control algorithm has been studied in control *** method merely requires the I/O data of the plant to design the controller and is easy for ***,there still lacks necessary research on the conditions which can guarantee the stability of the closed loop *** paper presents a stability analysis result for a class of nonlinear *** some mild assumptions,the convergence of the output regulating error was derived by rigorous mathematical method,which guarantees the correctness of the proposed method in theory.

关键词： Dynamic Linearization controller Data-driven Model Free Adaptive control Nonlinear System

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Distributed reliable L2 — L∞ state estimation for discrete-time delayed neural networks with missing measurements

Distributed reliable L2 — L∞ state estimation for discrete...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Hao Zhang Huaicheng Yan Mengling Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781467384155

This paper is concerned with the distributed L 2 - L ∞ state estimation for discrete-time delayed neural networks with missing measurements and sensor failures. The model of neural networks is constructed by the combination with nonlinear functions and state space expressions. Time-varying delays are assumed to have the lower bounds and the upper bounds, and the missing measurements and the sensor failures are described by a stochastic Bernoulli distributed variable and uncertainties, respectively. By using a distributed network, Kronecker product, linear matrix inequalities (LMIs) technology and the solving optimization problems, a sufficient condition is derived to ensure that the filtering error system is stochastically asymptotically stable and achieves the optimal L 2 - L ∞ performance. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method.

关键词： Robot sensing systems Neural networks Delays State estimation Linear matrix inequalities Reliability Sparse matrices

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A novel approach for moving object detection based on improved particle swarm optimization algorithm

A novel approach for moving object detection based on improv...

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International Conference on control and Automation (ICCA)

作者： Jin Yu Xuan Zhou Feng Qian Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

In order to extract from the video sequence in a complete and consistent moving target, a novel algorithm for video object segmentation based on improved particle swarm optimization (IPSO) is presented. The algorithm fuses brightness segmentation and color information at `region level', as to make up for conventional `pixel level' approaches. The IPSO is taken into account for spatial segmentation of the video frame, which combines the mixture Gaussian model of temporal framework in achieving better segmentation. Adapting to the real-time video surveillance, the proposed algorithm can speed up the process of image segmentation, and make background modeling accurately to update. Comparisons were performed with other method that the proposed algorithm can detect intact moving objects even when objects appear and disappear suddenly. The experiment across different types of video shows the efficiency and stability of video object segmentation by the novel approach.

关键词： Object detection Particle swarm optimization Image segmentation Object segmentation Data mining Video sequences Fuses Brightness Video surveillance Stability

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Distributed estimation over analog fading channels using constant-gain estimators 19

Distributed estimation over analog fading channels using con...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Xiao, Nan Xie, Lihua Niu, Yugang Hong, Yiguang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China EXQUISITUS Centre for E-City School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783902823625

This paper considers the distributed estimation of an unstable target via constant-gain estimators under local communications and channel fading. The communication graph is assumed to be fixed and undirected, and the channel fading is assumed to be identical. Necessary and sufficient conditions on communication network over which the state of the unstable target can be estimated in the mean square sense are given for both continuous-time and discrete-time cases, which reveal the fundamental limitation on distributed estimation induced by local communications, channel fading, and target dynamics. In addition, our results for the case without channel fading and the case with separate communications are consistent with the results in the literature. © IFAC.

关键词： Fading channels

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Distributed Optimal Economic Dispatch with Uncoordinated Fixed Step Sizes for Microgrids

Distributed Optimal Economic Dispatch with Uncoordinated Fix...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Shuai Mao Ziwei Dong Wei Du Yang Tang The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (数字)9781728156354

ISBN: (纸本)9781728156361

The economic dispatch problem (EDP) is important to the economic operation in microgrids, the objective of which is to obtain the generation plan with the minimal total generation cost. Considering the connection to main grid, flexible loads and line losses in the microgrid, a complete EDP model with corresponding constraints is proposed in this paper. Motivated by the push-sum method and dynamic consensus, a consensus-based distributed optimization algorithm is proposed to solve EDPs in this paper, step sizes of which can be fixed and uncoordinated. It is shown that the proposed distributed algorithm is able to solve EDPs in microgrids when the time-varying directed communication networks satisfy the uniformly jointly strongly connected condition. Several examples are provided to validate the proposed distributed optimization algorithm.

关键词： Microgrids Load modeling Communication networks optimization Heuristic algorithms Generators Economics

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Weighted Semi-supervised Orthogonal Factor Analysis Model for Quality-Related Process Monitoring

Weighted Semi-supervised Orthogonal Factor Analysis Model fo...

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Chinese control Conference (CCC)

作者： Xiaohui Cui Jian Yang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Ecust China University of Science and Technology Shanghai China

Probabilistic model has already been widely used for process monitoring. However, the obtained factors may contain quality-unrelated information, which is harmful to the quality-related process monitoring. Meanwhile, considering the situation of unequal sample rates of process and quality variables, a semi -supervised orthogonal factor analysis (Semi -SOFA) model is presented, further, to improve robustness, Semi-SOFA is extended to weighted form (WSemi-SOFA). This paper performs orthogonal decomposition on the obtained factors, which divides them into two parts: quality-related one and quality-unrelated one. Based on it, the corresponding T 2 statistics are designed to offer quality-related process monitoring, respectively. Besides, SPE statistics are constructed as supplement to monitor residuals. For effectiveness demonstration of the proposed method, TE benchmark is utilized.

关键词： Data models Monitoring Analytical models Probabilistic logic Robustness Predictive models Principal component analysis

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Integration of Multi-feature for Moving Target Detection Algorithm

Integration of Multi-feature for Moving Target Detection Alg...

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International Conference on Electrical and control Engineering (ICECE)

作者： Jin Yu Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Moving object segmentation and marking object area is one of the key technologies of intelligent surveillance. In this paper, combining the background modeling in pixel level, the proposed algorithm presented gradient-based spatial characteristics in order to improve detection accuracy. For the trade-off problem of background modeling, established the velocity characteristics for each property of moving targets, to make online updates of the GMM more adaptable. The results indicate that this technique can improve the efficiency and stability of detection.

关键词： Hidden Markov models Pixel Adaptation model Image segmentation Computational modeling Object detection Computer vision

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Self-triggered control of uncertain networked systems under packet dropouts

Self-triggered control of uncertain networked systems under ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Yang Tang The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781467380768

This paper is concerned with robust H∞ self-triggered control of networked systems. The system considered here includes parameter uncertainties and packet dropouts. In order to compensate for the existence of deterministic packet dropouts, a new self-triggered control scheme is proposed. The main feature of the proposed self-triggered control strategy is that the next control task is predicted based on the self-triggered technique, in which the predicted event interval is divided equally for the sake of packet dropouts. The triggered condition is developed to ensure the stability of the uncertain sampled system by utilizing an uncertain algebraic Riccati equation and the comparison principle. Finally, an example of the inverted pendulum of a cart is provided to illustrate the effectiveness of the proposed results.

关键词： Sampled data systems Uncertain systems Stability analysis Packet loss Real-time systems Riccati equations

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Observer-Based Adaptive Output-Feedback Quantized control for Switched Stochastic Nonlinear Time-Delay Systems

Observer-Based Adaptive Output-Feedback Quantized Control fo...

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第37届中国控制会议

作者： Yekai Yang Zhaoxu Yu Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Department of AutomationEast China University of Science and Technology

This paper is concerned with the adaptive output-feedback tracking control problem for switched stochastic nonlinear time-delay systems under arbitrary switching in the presence of input and output *** common Lyapunov-Krasoviskii functional approach,neural network(NN) approximation-based method and backstepping technique,a novel observer-based adaptive output-feedback controller is presented to guarantee that all signals of closed-loop systems are4-moment(or 2-moment) semi-globally uniformly ultimately bounded(SGUUB) and the tracking error can converge to a small neighborhood of the ***,a simulation example is given to verify the effectiveness of the proposed methodology.

关键词： Switched stochastic systems Adaptive quantized control Output-feedback Time-delay Lyapunov-Krasoviskii functional

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Sliding mode reliable control of Markovian jumping systems

Sliding mode reliable control of Markovian jumping systems

引用

作者： Chen, Bei Jia, Tinggang Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Sci. and Tech. Shanghai 200237 China Central Academe Shanghai Electric Group Co.Ltd. Shanghai China

ISBN: (纸本)9789881725592

In this work, a novel robust sliding mode control (SMC) method has been provided for uncertain stochastic Markovian jumping systems with actuator failures, such that the closed-loop system is globally asymptotically stable (with probability one). In the design of switching functions, a set of specified matrices are employed such that the connections among sliding surfaces corresponding to each mode are established. Furthermore, a sliding mode controller is synthesized to ensure the reachability of the specified switching surface. © 2011 Chinese Assoc of Automation.

关键词： Sliding mode control

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