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

共 698 条记录，以下是441-450 订阅

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Estimation of Distribution Algorithm sampling under Gaussian and Cauchy distribution in continuous domain

Estimation of Distribution Algorithm sampling under Gaussian...

引用

International Conference on control and Automation (ICCA)

作者： Na Luo Feng Qian Automatic Institute Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China

Estimation of Distribution Algorithm is a new population based evolutionary optimization method and it generates new population from probability distribution model. Like most evolutionary algorithms, it is easy to trap into local optimums. In order to avoid this shortcoming, Gaussian and Cauchy probability density function are mixed as probability distribution model. For continuous problems, a new estimation of distribution algorithm sampling under the mixed model is presented. New individuals are generated not only from Gaussian distribution but sometimes from Cauchy distribution in order to keep diversity. The selection strategy of Gaussian and Cauchy distribution are also discussed. The new algorithm is tested on five benchmark functions and results are compared with basic and estimation of distribution algorithm with Cauchy mutation.

关键词： Sampling methods Genetic mutations Electronic design automation and methodology Evolutionary computation Laboratories Probability distribution Gaussian distribution Automatic control chemical processes control engineering education

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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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Real-time control signal extraction based on instantaneous power of surface electromyogram

Real-time control signal extraction based on instantaneous p...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Yujue Wang Bei Wang Xingyu Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

The previous studies on Human-machine Interface (HMI) based on surface electromyogram (SEMG) control seldom considered individual difference. In this paper, we proposed a novel method to distinguish the handedness of subjects, and extract the real-time control signals from SEMG. SEMG signals recorded at left calf, right calf, left shoulder and right shoulder were analyzed. The instantaneous power of SEMG signals were calculated based on Filter technique and short-time Fourier transformation (STFT).The handedness was discriminated to determine the proper threshold for different subjects. The real-time control signals were generated automatically by comparing the instantaneous power and the thresholds preset.

关键词： Muscles Electrocardiography Band pass filters Time frequency analysis Real time systems Robots Wheelchairs

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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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Multi-time Scale Hierarchical Predictive control for Energy Management of Microgrid System with Smart Users

Multi-time Scale Hierarchical Predictive Control for Energy ...

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第26届中国控制与决策会议

作者： Jun Xu Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China Univ.of Science and Technology Key Laboratory of System Control and Information Processing Ministry of Education

In this paper, a multi-time scale hierarchal model predictive control strategy is proposed to optimize energy management problem of a microgrid with multiple smart users. According to the power flow among different energy modules, a hierarchical system model and a multi-time scale hierarchal energy optimization management problem are established. The centralized controller in the upper layer is to optimize the charge/discharge time and energy of storage devices, controllable supply power adjustment and dispatch of the aggregators. The optimization problem in the lower layer is to meet users' demands in real time. Meanwhile, in order to improve the disturbances caused by the randomness of renewable energy and variant loads, a multi-time scale optimization scheme is applied. At the slow scale, the upper optimization problem is solved, and the optimal energy scheduling in the long-term can be achieved. At the fast scale, the energy balance between supply and demand of smart users can be realized in the short-term. Finally, simulation results illustrate the effectiveness of proposed method.

关键词： Smart user,Microgrid,Energy management,Multi-time scale time-hierarchal,Model predictive control

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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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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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Sliding Mode control of State-Saturated Systems Under Dynamic Event-Triggered Protocol

Sliding Mode Control of State-Saturated Systems Under Dynami...

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Asian control Conference

作者： Jun Song Yugang Niu Bei Chen The Key Laboratory of Advanced Control and Optimization for Chemical Process East China University of Science and Technology Shanghai China School of Electric and Electronic Engineering Shanghai University of Engineering Science Shanghai China

ISBN: (纸本)9781728102634

This paper endeavors to investigate the sliding mode control (SMC) issue of the networked state-saturated systems. For the energy saving purpose in network communication, a dynamic event-triggering mechanism is employed to SMC design by introducing interval dynamic variable. With the aid of some appropriate Lyapunov functionals, the sufficient conditions are derived to ensure the asymptotic stability of the sliding mode dynamics and the reachability of the specified sliding surface. Moreover, a convex optimization algorithm is formulated to solve the dynamic event-triggering SMC law. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results.

关键词： Zirconium Heuristic algorithms Symmetric matrices Sliding mode control Asymptotic stability Protocols Nonlinear dynamical systems

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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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