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IEEE International Conference on Automation Science and engineering (CASE)

作者： Wenliang Chen Zheng Wang Felix T. S. Chan Key Laboratory of Measure and Control of Complex Engineering Systems Southeast University Nanjing Jiangsu P. R. China Department of Industrial and Systems Engineering The Hong Kong Polytechnic University China

For a manufacturing system, we often need to evaluate its performance under a production control policy. The purpose of performance evaluation is to optimize the parameters in the control policy. In this paper, we investigate the method of evaluating the performance of a two-product-type and multi-parallel-machine manufacturing system. In order to evaluate its performance, the key is to obtain its steady-state probability distribution under a control policy. To solve this problem, firstly, we analyze the shape of distribution domains of state variables, which influence the steady-state probability balance equation. For one of these possible shapes, we develop the steady-state probability balance equations under the prioritized hedging point (PHP) control policy. From these equations, we obtain the marginal probability distribution for each product type for a two-product-type and multi-parallel-machine system, which has the similar form as the steady-state probability distribution of a one-product-type and multi-parallel-machine system. Then, a unified form of probability balance equation is developed from all possible shapes of distribution domains of state variables. Finally, numerical experiments are conducted to verify the correctness of the proposed method of computing the probability distribution of a two-product-type and multi-machine system.

关键词： Steady-state Probability distribution Shape Probability density function Manufacturing systems Production control

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Robust kernelized multi-view self-representations for clustering by tensor multi-rank minimization

arXiv

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arXiv 2017年

作者： Qu, Yanyun Liu, Jinyan Xie, Yuan Zhang, Wensheng Fujian Key Laboratory of Sensing and Computing for Smart City School of Information Science and Engineering Xiamen University China State Key Laboratory of Intelligent Control Management of Complex Systems Chinese Academy of Sciences

Most recently, tensor-SVD is implemented on multi-view self-representation clustering and has achieved the promising results in many real-world applications such as face clustering, scene clustering and generic object clustering. However, tensor-SVD based multi-view self-representation clustering is proposed originally to solve the clustering problem in the multiple linear subspaces, leading to unsatisfactory results when dealing with the case of non-linear subspaces. To handle data clustering from the non-linear subspaces, a kernelization method is designed by mapping the data from the original input space to a new feature space in which the transformed data can be clustered by a multiple linear clustering method. In this paper, we make an optimization model for the kernelized multi-view self-representation clustering problem. We also develop a new efficient algorithm based on the alternation direction method and infer a closed-form solution. Since all the subproblems can be solved exactly, the proposed optimization algorithm is guaranteed to obtain the optimal solution. In particular, the original tensor-based multi-view self-representation clustering problem is a special case of our approach and can be solved by our algorithm. Experimental results on several popular real-world clustering datasets demonstrate that our approach achieves the state-of-The-Art performance. Copyright © 2017, The Authors. All rights reserved.

关键词： Tensors

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Compressive phase retrieval via reweighted amplitude flow

arXiv

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arXiv 2017年

作者： Zhang, Liang Wang, Gang Giannakis, Georgios B. Chen, Jie Digital Technology Center Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China School of Automation State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing100081 China

The problem of reconstructing a sparse signal vector from magnitude-only measurements (a.k.a., compressive phase retrieval), emerges naturally in diverse applications, but it is NP-hard in general. Building on recent advances in nonconvex optimization, this paper puts forth a new algorithm that is termed compressive reweighted amplitude flow and abbreviated as CRAF, for compressive phase retrieval. Specifically, CRAF operates in two stages. The first stage seeks a sparse initial guess via a new spectral procedure. In the second stage, CRAF implements a few hard thresholding based iterations using reweighted gradients. When there are sufficient measurements, CRAF provably recovers the underlying signal vector exactly with high probability under suitable conditions. Moreover, its sample complexity coincides with that of the state-of-the-art procedures. Finally, substantial simulated tests showcase remarkable performance of the new spectral initialization, as well as improved exact recovery relative to competing alternatives. Copyright © 2017, The Authors. All rights reserved.

关键词： Iterative methods

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An adaptive passivity-based controller of a buck-boost converter with a constant power load

arXiv

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arXiv 2017年

作者： He, Wei Ortega, Romeo Machado, Juan E. Li, Shihua Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China Laboratoire des Signaux et Systemes Supelec Plateau du Moulon Gif-sur-Yvette91192 France

This paper addresses the problem of regulating the output voltage of a DC-DC buck-boost converter feeding a constant power load, which is a problem of current practical interest. Designing a stabilising controller is theoretically challenging because its average model is a bilinear second order system that, due to the presence of the constant power load, is non-minimum phase with respect to both states. Moreover, to design a high-performance controller, the knowledge of the extracted load power, which is difficult to measure in industrial applications, is required. In this paper, an adaptive interconnection and damping assignment passivity-based control-that incorporates the immersion and invariance parameter estimator for the load power-is proposed to solve the problem. Some detailed simulations are provided to validate the transient behaviour of the proposed controller and compare it with the performance of a classical PD scheme. Copyright © 2017, The Authors. All rights reserved.

关键词： DC-DC converters

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A Real-time and Unsupervised Advancement Scheme for Underwater Machine Vision

A Real-time and Unsupervised Advancement Scheme for Underwat...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Xingyu Chen Zhengxing Wu Junzhi Yu Li Wen State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Mechanical Engineering and Automation Beihang university Beijing China

This paper presents a real-time and unsupervised advancement scheme (RUAS) for underwater machine vision in the natural light condition. RUAS consists of three steps, pre-searching, restoration, and post-enhancing. In pre-searching, we provide a Protected and Greedy Artificial Fish School Algorithm (PGAFSA) to optimize the key parameters of the underwater images, and design an evaluating indicator for the PGAFSA based on the features of underwater images. During the restoration, an image degeneration model is built and the Wiener Filter is employed for noise suppression. Moreover, a filtering-aided color correlation method (FCCM) is then presented against color absorption caused by water. The contrast limited adaptive histogram equalization is employed for the contrast stretch in post-enhancing. Finally, we validated the effectiveness and feasibility of the proposed RUAS with deep-sea environmental videos and practical underwater environments.

关键词： Image color analysis Histograms Image restoration Wiener filters Colored noise Absorption Automation

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Multi-objective drilling trajectory optimization based on NSGA-II

Multi-objective drilling trajectory optimization based on NS...

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Asian control Conference

作者： Wendi Huang Min Wu Jun Cheng Xin Chen Weihua Cao Yule Hu Hui Gao School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Faculty of Engineering China University of Geosciences Wuhan China

ISBN: (纸本)9781509015740;9781509015733

Facing the demand of the efficiency and safety of drilling process, it is necessary to find the optimal drilling trajectory in the complex geological environment. To solve this multi-objective optimization problem, non-dominated sorting genetic algorithm II (NSGA-II) is applied. And Linear sum weighted method is applied at the same time for comparison. Firstly, the numerical model of a sidestracking horizontal well trajectory is established by nature curve method. Constraints subjected to engineering conditions and objective functions are discussed. Then, as decision parameters, the build rate and the turn rate are optimized. Finally, optimal solutions distributed on the Pareto front uniformly are obtained.

关键词： Trajectory Linear programming Optimization methods Sociology Statistics Sorting

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Optimal management of office energy consumption via Q-learning algorithm

Optimal management of office energy consumption via Q-learni...

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American control Conference

作者： Guang Shi Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509045839

In this paper, a Q-learning based algorithm is developed to optimize energy consumption in an office, where solar energy is introduced as the renewable source and a battery is installed as the control unit. The energy consumption in the office, regarded as the energy demand, is divided into those from sockets, lights and air-conditioners. First, the time series of real-time electricity rate, renewable energy, and energy demand are modeled by echo state networks as periodic functions. Second, given these periodic functions, a Q-learning based algorithm is developed for optimal control of the battery in the office, so that the total cost on energy from the grid is reduced. Finally, numerical analysis is conducted to show the performance of the developed algorithm.

关键词： office energy consumption Energy requirements Batteries Periodic Function control unit algorithms Total Costs Solar Energy Optimal control

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Dynamical analysis of fractional-order financial system with delay 5

Dynamical analysis of fractional-order financial system with...

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5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017

作者： Zhang, Zhe Liu, Feng Zhang, Jin Sun, Fenglan Ren, Jie School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China College of Electrical and Information Engineering Hunan University Hunan410082 China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing400065 China

This paper we investigates the problem of stability and bifurcation of fractional-order financial system time-delay via the Lyapunov stability judgment method and application of impulse control method. Finally, a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed stability and bifurcation criterion.

关键词： Bifurcation (mathematics)

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Flight control Using only Synthetic Jet Actuators in High-Angle-of-Attack 35

Flight Control Using only Synthetic Jet Actuators in High-An...

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第35届中国控制会议

作者： LI Chunzhi Yang Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781509009107

This paper proposes a novel airfoil active flow control method using only synthetic jet to achieve triple-channel flight attitude control at high angle of attack. It's a feasible and effective control method to solve the difficult problem of flight control at high attack angle when stall occurs. As a first step, we build a model of the aircraft, and derive the relationship between the synthetic-jet peak velocity and moments. Under these conditions, we design a controller to the system. A nonlinear integrated flight control and flow control system was developed and tested in simulations. Simulation results showed that the proposed control method, can effectively control the aircraft at high angle of attack.

关键词： synthetic jet flight control high angle of attack

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Time-varying Terminal Sliding Mode Based on Salvo Attack Cooperative Guidance Law for Unknown Uncertainty Upper Bounds 35

Time-varying Terminal Sliding Mode Based on Salvo Attack Coo...

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第35届中国控制会议

作者： WEI Xiaoqian YANG Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering ScienceCollege of EngineeringPeking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781509009107

In this paper,a new time-varying terminal sliding mode with unknown uncertainty bounds is designed to make multiple missiles-attack against the maneuvering target *** new method in this paper can guarantee accurate time-to-go by distributed ***,a new cooperative guidance law is designed for the nonlinear system based on the known uncertainty ***,it is extended to unknown uncertainty bound using the disturbance observer and the composite cooperative guidance *** desired salvo attack time is achieved by selecting the parameter variables of sliding model and the adjacency matrix in the *** simulations with the comparisons demonstrate the effectiveness and the superiority of the proposed method.

关键词： Terminal Sliding Mode Salvo Attack Unknown Uncertainty Upper Bounds

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