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作者： Fagiano, Lorenzo Teel, Andrew R. Automatic Control Laboratory Swiss Federal Institute of Technology Zurich Switzerland Department of Mechanical Engineering University of California at Santa Barbara Santa Barbara CA United States Department of Electrical and Computer Engineering University of California at Santa Barbara Santa Barbara CA United States

A terminal state equality constraint for Model Predictive control (MPC) laws is investigated, where the terminal state/input pair is not fixed a priori but it is a free variable in the optimization. The approach, named "generalized" terminal state constraint, can be used for both tracking MPC (i.e. when the objective is to track a given steady state) and economic MPC (i.e. when the objective is to minimize a cost function which does not necessarily attains its minimum at a steady state). It is shown that the proposed technique provides, in general, a larger feasibility set with respect to the existing approaches, given the same prediction horizon. Moreover, a new receding horizon strategy is introduced, exploiting the generalized terminal state constraint. Under mild assumptions, the new strategy is guaranteed to converge in finite time, with arbitrarily good accuracy, to an MPC law with an optimally-chosen terminal state constraint, while still enjoying a larger feasibility set. The features of the new technique are illustrated by an inverted pendulum example in both the tracking and the economic contexts. © 2013 Elsevier Ltd. All rights reserved.

关键词： Model predictive control

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Experimental evaluation of power control algorithms for wireless sensor networks

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IFAC Proceedings Volumes 2008年第2期41卷 619-624页

作者： Pan Gun Park Carlo Fischione Karl H. Johansson Automatic Control Lab School of Electrical Engineering Royal institute of technology Stockholm Sweden Department of Electrical Engineering and Computer Sciences UC Berkeley Berkeley CA USA

The main contribution of this paper is the implementation and experimental evaluation of thee radio power control algorithms for wireless sensor networks. We illustrate the necessity of lightweight radio power control algorithms for the deployment of wireless sensor networks in realistic situations. Furthermore, based on a simple loss model, we develop an algorithm that optimizes the transmit power while guaranteeing a desired packet error probability. The simple power control strategy is also compared with two other strategies in experiments using Tmote Sky sensor nodes. A component-based software implementation in the Contiki operating system is used.

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An efficient local search algorithm for minimum weighted vertex cover on massive graphs 11th

An efficient local search algorithm for minimum weighted ver...

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11th International Conference on Simulated Evolution and Learning, SEAL 2017

作者： Li, Yuanjie Cai, Shaowei Hou, Wenying State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China School of Information Technology and Management University of International Business and Economics Beijing China

ISBN: (纸本)9783319687582

The minimum weighted vertex cover (MWVC) problem is a well known NP-hard problem with various real-world applications. In this paper, we design an efficient algorithm named FastWVC to solve MWVC problem in massive graphs. Two strategies are proposed. One is the ConstructWVC procedure, aiming to generate a quality initial vertex cover. The other is a new exchange step for reconstructing a vertex cover. Experiments on 102 instances were conducted to confirm the effectiveness of our algorithm. The results show that the FastWVC algorithm outperforms other algorithms in terms of both solution quality and computational time in most of the instances. © Springer International Publishing AG 2017.

关键词： Computational complexity

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Sustainable Mining in the Era of Artificial Intelligence

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IEEE/CAA Journal of automatica Sinica 2024年第1期11卷 1-4页

作者： Long Chen Yuting Xie Yutong Wang Shirong Ge Fei-Yue Wang IEEE the State Key Laboratory for Management and Control of Complex Systems at the Institute of Automation Chinese Academy of SciencesBeijing 100190China the National Laboratory of Pattern Recognition at the Institute of Automation and Waytous Ltd.China the School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhou 510275GuangdongChina the School of Mechanical Electronic and Information Engineering China University of Mining and Technology BeijingBejing 100083China the School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100190China

The mining sector historically drove the global economy but at the expense of severe environmental and health repercussions,posing sustainability challenges[1]-[3].Recent advancements on artificial intelligence(AI)are revolutionizing mining through robotic and data-driven innovations[4]-[7].While AI offers mining industry advantages,it is crucial to acknowledge the potential risks associated with its widespread ***-reliance on AI may lead to a loss of human control over mining operations in the future,resulting in unpredictable consequences.

关键词： Sustainable mining consequences

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SF-Net: Learning scene flow from rgb-D images with CNNs 29

SF-Net: Learning scene flow from rgb-D images with CNNs

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29th British Machine Vision Conference, BMVC 2018

作者： Qiao, Yi-Ling Gao, Lin Lai, Yu-Kun Zhang, Fang-Lue Yuan, Ming-Ze Xia, Shihong Beijing Key Laboratory of Mobile Computing and Pervasive Device Institute of Computing Technology Chinese Academy of Sciences China School of Computer and Control Engineering University of Chinese Academy of Sciences China School of Computer Science and Informatics Cardiff University United Kingdom School of Engineering and Computer Science Victoria University of Wellington New Zealand

With the rapid development of depth sensors, RGB-D data has become much more accessible. Scene flow is one of the fundamental ways to understand the dynamic content in RGB-D image sequences. Traditional approaches estimate scene flow using registration and smoothness or local rigidity priors, which is slow and prone to errors when the priors are not fully satisfied. To address such challenges, learning based methods provide an attractive alternative. However, trivially applying CNN-based optical flow estimation methods does not produce satisfactory results. How to use deep learning to improve the estimation of scene flow from RGB-D images remains unexplored. In this work, we propose a novel learning based framework to estimate scene flow, which takes both brightness and scene flow losses. Given a pair of RGB-D images, the brightness loss is used to measure the disparity between the first RGB-D image and the deformed second RGB-D image using the scene flow, and the scene flow loss is used to learn from the ground truth of scene flow. We build a convolutional neural network to simultaneously optimize both losses. Extensive experiments on both synthetic and real-world datasets show that our method is significantly faster than existing methods and outperforms state-of-the-art real-time methods in accuracy. © 2018. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.

关键词： Luminance

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Reliability of the MPPT control on the Energy Parameters of a Photovoltaic Generator

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World Journal of engineering and technology 2020年第3期8卷 537-550页

作者： Batassou Guilzia Jeannot Mandeng Jean Jacques Mane Mane Jeannot Laboratory of Computer and Automatic Engineering UFD of Engineering Sciences ENSET University of Douala Douala Cameroon University Institute of Technology UIT University of Douala Douala Cameroon

This article describes a technique that allows a photovoltaic (PV) production unit to obtain the maximum power at all times. Here, we use the MPPT control via fuzzy logic on a DC/DC boost-type converter. In order to achieve our goals, we first proceeded to model a PV panel. The resulting model offers the possibility to better account for the influence of different physical quantities such as temperature, irradiation, series resistance, shunt resistance and diode saturation current. Thus, the maximum power to be provided by the PV system is acquired by fuzzification and defuzzification of the input and output variables of the converter. Subsequently, a virtual model of an 800 Watt PV prototype is implemented in the Matlab environment. The simulation results obtained and presented, show the feasibility and efficiency of the proposed technology. Indeed, for a disturbance caused by a variation in brightness, our system guarantees the maximum stable power after 1.4 s. While for a load variation, the maximum power is continuous.

关键词： Low Voltage Photovoltaic System Fuzzy Logic Maximum Power Point

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Tri-level combination for image representation 17th

Tri-level combination for image representation

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17th Pacific-Rim Conference on Multimedia, PCM 2016

作者： Li, Ruiying Zhang, Chunjie Huang, Qingming School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783319488899

The context of objects can provide auxiliary discrimination beyond objects. However, this effective information has not been fully explored. In this paper, we propose Tri-level Combination for Image Representation (TriCoIR) to solve the problem at three different levels: object intrinsic, strongly-related context and weakly-related context. Object intrinsic excludes external disturbances and more focuses on the objects themselves. Strongly-related context is cropped from the input image with a more loose bound to contain surrounding context. Weaklyrelated one is recovered from the image other than object for global context. First, strongly and weakly-related context are constructed from input images. Second, we make cascade transformations for more intrinsical object information, which depends on the consistency between generated global context and input images in the regions other than object. Finally, a joint representation is acquired based on these three level features. The experiments on two benchmark datasets prove the effectiveness of TriCoIR. © Springer International Publishing AG 2016.

关键词： Image representation

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Distribution-aware mutation analysis

Distribution-aware mutation analysis

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36th Annual IEEE International computer Software and Applications Conference Workshops, COMPSACW 2012

作者： Sun, Chang-Ai Wang, Guan Cai, Kai-Yuan Chen, Tsong Yueh School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Department of Automatic Control Beijing University of Aeronautics and Astronautics Beijing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Science Beijing China Facuity of Information and Communication Technologies Swinburne University of Technology Melbourne VIC Australia

ISBN: (纸本)9780769547589

Mutation analysis is widely employed to evaluate the effectiveness of various software testing techniques. In most situations, mutation operators are uniformly applied to the original programs, while the faults tend to be clustered in practice. This may result in the inappropriate simulation of faults, and thus cannot deliver the reliable evaluation results. To overcome this, we propose a distribution-aware mutation analysis technique and conducted empirical studies to investigate the impact of the mutation distribution on the effectiveness evaluation of testing techniques. As an illustration, we select the commonly practiced random testing technique and two versions of dynamic random testing techniques and apply them to testing Web services. Results of empirical studies suggest that the mutation distribution significantly affects the evaluation results. This observation further indicates that the effectiveness of testing techniques previously evaluated with the uniform mutation analysis needs further realignments. © 2012 IEEE.

关键词： Software testing

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Robust Sliding-Mode control for the Problem of Trajectory Tracking of Autonomous Marines Vehicles

Robust Sliding-Mode Control for the Problem of Trajectory Tr...

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International Conference on sciences and Techniques of automatic control and computer engineering (STA)

作者： Sami Souissi Mohamed Boukattaya Tarak Damak Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) National school of engineering of sfax University of sfax Sfax Tunisia

ISBN: (数字)9781728188157

ISBN: (纸本)9781728188164

In this paper, we study the problem of trajectory tracking control for autonomous marines vehicles using robust sliding-mode controller. The proposed algorithm achieves good tracking performance of marine vehicle in the open sea in which there exist severe environmental disturbances and unknowns dynamic parameters. First, the dynamic model in task space of the marine vehicle system in horizontal motion is designed. By using position and velocity tracking errors, a robust controller is then developed based on a linear sliding-mode surface. The designed algorithm is chattering free due to hyperbolic tangent function in switching part. Based on the Lyapunov theorem, the stability in closed-loop system is guaranteed and the convergence of the position and velocity tracking errors are obtained. In addition, the robustness of the controller is verified when disturbances and uncertainties are introduced in the system. Extensive simulations are conducted to demonstrate the validity of the proposed algorithm.

关键词： Uncertainty Trajectory tracking Heuristic algorithms Dynamics Prototypes Marine vehicles Vehicle dynamics

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Challenges and problems in the design of smart intersections 16

Challenges and problems in the design of smart intersections

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16th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, VSDIA 2018

作者： Szőcs, Dávid Németh, Balázs Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Budapest Műegyetem rkp. 3. Hungaryr BudapestH-1111 Hungary Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary

The main goal of the project is to assure a collusion-free passage through the intersection in the shortest possible traveling time. Firstly, the order of the incoming vehicle is proposed. Using the mentioned order, a nonlinear optimization method is proposed, with the minimum traveling time of the participants, without their collusion is guaranteed. Based on the optimized result a database is created. The second part of the optimization uses this database to solve an another type of problem, when the vehicles steps in the intersection at different moment. Also mentionable the correct choosing of initial values in this part, because it has influence to the degree of optimization. After that, most of the situations can be solved, even if the vehicles have different step-in-time parameters. © 2019 Budapest University of technology and Economics. All rights reserved.

关键词： Global optimization

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