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Delays in Model Reduction of Chemical Reaction Networks

IFAC-PapersOnLine 2018年第14期51卷 100-105页

作者： Lipták, György Hangos, Katalin M. Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 BudapestH-1518 Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

A novel engineering model reduction method is proposed in this paper that can be applied to a chemical reaction network (CRN) with chains of linear reactions. The reduced model is a delayed CRN with possibly different delays but with less state variables than the original model. As the first step of the model reduction, a decomposition method is also developed to transform chains with joint reactions into independent chains of linear reactions. The well known example of McKeithan's network is used as a case study to illustrate the basic concepts and the design method. © 2018

关键词： Reduction

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Parallel Planning:A New Motion Planning Framework for Autonomous Driving

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 236-246页

作者： Long Chen Xuemin Hu Wei Tian Hong Wang Dongpu Cao Fei-Yue Wang IEEE School of Data and Computer Science Sun Yat-sen University the School of Computer Science and Information Engineering Hubei University Institute of Measurement and Control Systems Karlsruhe Institute of Technology Department of Mechanical and Mechatronics Engineering University of Waterloo the State Key Laboratory of Management and Control for Complex Systems.Institute of Automation Chinese Academy of Sciences the Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Motion planning is one of the most significant technologies for autonomous driving. To make motion planning models able to learn from the environment and to deal with emergency situations, a new motion planning framework called as"parallel planning" is proposed in this paper. In order to generate sufficient and various training samples, artificial traffic scenes are firstly constructed based on the knowledge from the reality.A deep planning model which combines a convolutional neural network(CNN) with the Long Short-Term Memory module(LSTM) is developed to make planning decisions in an end-toend mode. This model can learn from both real and artificial traffic scenes and imitate the driving style of human ***, a parallel deep reinforcement learning approach is also presented to improve the robustness of planning model and reduce the error rate. To handle emergency situations, a hybrid generative model including a variational auto-encoder(VAE) and a generative adversarial network(GAN) is utilized to learn from virtual emergencies generated in artificial traffic scenes. While an autonomous vehicle is moving, the hybrid generative model generates multiple video clips in parallel, which correspond to different potential emergency scenarios. Simultaneously, the deep planning model makes planning decisions for both virtual and current real scenes. The final planning decision is determined by analysis of real observations. Leveraging the parallel planning approach, the planner is able to make rational decisions without heavy calculation burden when an emergency occurs.

关键词： Autonomous driving artificial traffic scene deep learning emergencies motion planning parallel planning

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Automating CPPSs Analyses with SysML v2 and Lingua Franca in the Context of Industry 4.0 50

Automating CPPSs Analyses with SysML v2 and Lingua Franca in...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Gaiardelli, Sebastiano Wilch, Jan Fummi, Franco Vogel-Heuser, Birgit Industrial Computer Engineering Laboratory Department of Engineering for Innovation Medicine University of Verona Italy Institute of Automation and Information Systems Technical University of Munich Germany

ISBN: (纸本)9781665464543

The design of manufacturing systems requires exploring diverse component configurations for one that best satisfies the requirements of the target system. At the same time, manufacturing systems evolve continuously, increasing their complexity and that of the production line in which they are installed. Model-based System Engineering (MBSE) methodologies and modeling languages like System Modeling Language (SysML) are used to assist system engineers during the entire design process. Yet, MBSE methodologies mainly rely on manually composed models for requirements verification, incurring enormous cost and effort especially in larger, more complex systems. This paper proposes a methodology exploiting the knowledge enclosed in a SysML model to automate the execution of a set of analyses defined over the represented manufacturing system. The proposed approach relies on Lingua Franca (LF) to simulate the specified analysis and analyze the results. Moreover, the methodology supports chains of analyses to represent dependent requirements and tradeoffs imposed upon a manufacturing system. The proposed methodology has been evaluated on a manufacturing system demonstrator. Results show the proposed methodology’s applicability and scalability on diverse configurations of the manufacturing system. © 2024 IEEE.

关键词： Smart manufacturing

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On the reconfiguration of degradable VLSI/WSI arrays

On the reconfiguration of degradable VLSI/WSI arrays

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IEEE International Workshop on Defect and Fault Tolerance in VLSI systems, DFT 1993

作者： Low, C.P. Leong, H.W. Algorithms and Design Automation Laboratory Department of Information Systems and Computer Science National University of Singapore Lower Kent Ridge Road Singapore0511 Singapore

ISBN: (纸本)0818635029

This paper consider the problem of reconfiguring VLSI/WSI arrays via the degradation approach. In this approach, all elements are treated uniformly and no elements are dedicated as spares. The goal is to derive a fault-free subarray T from the defective host array such that the dimensions of T are larger than some specified minimum. This problem has been shown to be NP-complete under various switching and routing constraints. However, we show that a special case of the reconfiguration problem with row bypass and column rerouting capabilities, is solvable in polynomial time using network flows. Using this result, a new fast and efficient reconfiguration algorithm is proposed. Empirical study shows that the new algorithm indeed produce good results in terms of the percentages of harvest and degradation of VLSI/WSI arrays. © 1993 IEEE.

关键词： Polynomial approximation

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Twisting Sliding Mode Control of an Electrostatic MEMS Micromirror for a Laser Scanning System

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IEEE/CAA Journal of Automatica Sinica 2019年第4期6卷 1060-1067页

作者： Hui Chen Zhendong Sun Weijie Sun John Tze Wei Yeow the School of Computer and Information Engineering Henan UniversityKaifeng 475000China the Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190 China the College of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China the Systems Design Engineering University of WaterlooWaterloo N2L3G1Canada IEEE

In this paper,we present a twisting control scheme with proportional-integral-derivative(PID)sliding surface for a two-axis electrostatic torsional micromirror,and the utilization of the proposed scheme in a laser scanning *** experimental results of set-point regulation verify that the proposed scheme provides enhanced transient response and positioning performance as compared to traditional sliding mode *** evaluate the tracking performance of the closed-loop system,triangular waves with different frequencies are used as desired *** the proposed scheme the experimental results verified that the closed-loop controlled micromirror follows the given triangular trajectories precisely.A micromirror-based laser scanning system is developed to obtain *** compared with open-loop control,the experimental results demonstrated that the proposed scheme is able to reduce the distortion of the raster scan,and improve the imaging performance in the presence of cross-coupling effect.

关键词： Electrostatic micromirror imaging microelectromechanical system(MEMS) twisting algorithm

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Online Optimal Control for VTOL Aircraft System Based on DHP Algorithm 33

Online Optimal Control for VTOL Aircraft System Based on DHP...

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第三十三届中国控制会议

作者： TAN Fuxiao LIU Derong GUAN Xinping The School of Computer and Information Fuyang Teachers College The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences The School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University

ISBN: (纸本)9781479947249

It is well known that vertical take-off and landing(VTOL) aircraft system is a complex multi-variable nonlinear system with large disturbances. In order to control the VTOL aircraft system ef ciently, it is necessary to explore new optimal control methods to stabilize the system states. In this paper, we apply dual heuristic programming(DHP) to design the optimal controller for VTOL aircraft system. As a framework of approximate dynamic programming(ADP) algorithm, DHP consists of three modules: model, critic and actor. The critic module output partial derivatives of cost function with respect to state. It has many advantages such as good dynamics, fast convergence rate, and high control resolution. Simulation and experimental results demonstrate the effectiveness of optimal controller for VTOL aircraft system based on the DHP algorithm.

关键词： VTOL aircraft,Dual heuristic programming,Adaptive critic designs,Optimal control

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Fusing R Features and Local Features with Context-Aware Kernels for Action Recognition

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International Journal of computer Vision 2016年第2期118卷 151-171页

作者： Yuan, Chunfeng Wu, Baoxin Li, Xi Hu, Weiming Maybank, Stephen Wang, Fangshi National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China College of Computer Science and Technology Zhejiang University Hangzhou China Department of Computer Science and Information Systems Birkbeck College London United Kingdom School of Software Engineering Beijing Jiaotong University Beijing China

The performance of action recognition in video sequences depends significantly on the representation of actions and the similarity measurement between the representations. In this paper, we combine two kinds of features extracted from the spatio-temporal interest points with context-aware kernels for action recognition. For the action representation, local cuboid features extracted around interest points are very popular using a Bag of Visual Words (BOVW) model. Such representations, however, ignore potentially valuable information about the global spatio-temporal distribution of interest points. We propose a new global feature to capture the detailed geometrical distribution of interest points. It is calculated by using the 3D R transform which is defined as an extended 3D discrete Radon transform, followed by the application of a two-directional two-dimensional principal component analysis. For the similarity measurement, we model a video set as an optimized probabilistic hypergraph and propose a context-aware kernel to measure high order relationships among videos. The context-aware kernel is more robust to the noise and outliers in the data than the traditional context-free kernel which just considers the pairwise relationships between videos. The hyperedges of the hypergraph are constructed based on a learnt Mahalanobis distance metric. Any disturbing information from other classes is excluded from each hyperedge. Finally, a multiple kernel learning algorithm is designed by integrating the l2 norm regularization into a linear SVM classifier to fuse the R feature and the BOVW representation for action recognition. Experimental results on several datasets demonstrate the effectiveness of the proposed approach for action recognition. © 2015, Springer Science+Business Media New York.

关键词： Principal component analysis

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Tuning the position of a fuzzy cognitive map attractor using backpropagation through time

Tuning the position of a fuzzy cognitive map attractor using...

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7th International Conference on Integrated Modeling and Analysis in Applied Control and automation, IMAACA 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013

作者： Gregor, Michal Groumpos, Peter P. Department of Control and Information Systems Faculty of Electrical Engineering University of Žilina Slovakia Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece

ISBN: (纸本)9781629934884

The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theory of artificial neural networks. Simulation results are presented to show how well the method performs. It is shown that the results are superior to those achieved using Hebbian learning approaches such as nonlinear Hebbian learning. Some lines for possible future research and development are given.

关键词： Fuzzy Cognitive Maps

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The model-free learning enhanced motion control of DC motor

The model-free learning enhanced motion control of DC motor

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International Conference on Electrical Machines and systems, ICEMS 2007

作者： Rongmin, Cao Zhongsheng, Hou Wei, Zhang Department of Computer and Automation Beijing Institute of Machinery Industry China Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University China

ISBN: (纸本)8986510081

This paper presents an approach towards learning enhanced motion control of DC motor, suitable for applications involving repeated iterations of motion trajectories. The overall structure of the control consists of a feedback and a feed-forward components. The model-free learning adaptive feedback control (MFLAC) provides for the main system stabilization and an iterative learning control (ILC) algorithm is proposed to serve as a feedforward compensation to nonlinear and unknown dynamics and disturbances, thereby enhancing the improvement achievable with PID or MFLAC alone. It serves as the basis for simulation study of the proposed control scheme. A comparison of the performance achieved with traditional PID and MFLAC is also provided to highlight the advantages of the additional intelligent feedforward mode.

关键词： DC motors

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Ontology-based support for security requirements specification process

Ontology-based support for security requirements specificati...

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Confederated International Workshops on On the Move to Meaningful Internet systems, OTM 2012: OTM Academy, Industry Case Studies Program, EI2N 2012, INBAST 2012, META4eS 2012, OnToContent 2012, ORM 2012, SeDeS 2012, SINCOM 2012, and SOMOCO 2012

作者： Daramola, Olawande Sindre, Guttorm Moser, Thomas Department of Computer and Information Sciences Covenant University Ota Nigeria Norway Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Austria

ISBN: (纸本)9783642336171

The security requirements specification (SRS) is an integral aspect of the development of secured information systems and entails the formal documentation of the security needs of a system in a correct and consistent way. However, in many cases there is lack of sufficiently experienced security experts or security requirements (SR) engineer within an organization, which limits the quality of SR that are specified. This paper presents an approach that leverages ontologies and requirements boilerplates in order to alleviate the effect of lack of highly experienced personnel for SRS. It also offers a credible starting point for the SRS process. A preliminary evaluation of the tool prototype - ReqSec tool - was used to demonstrate the approach and to confirm its usability to support the SRS process. The tool helps to reduce the amount of effort required, stimulate discovery of latent security threats, and enables the specification of good quality SR. © 2012 Springer-Verlag.

关键词： Ontology

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