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IEEE Annual Conference on Decision and control

作者： Wei Pan Ye Yuan Lennart Ljung Jorge Goncalves Guy-Bart Stan Centre for Synthetic Biology and Innovation and the Department of Bioengineering Imperial College London United Kingdom Department of Electrical Engineering and Computer Sciences UC Berkeley Division of Automatic Control Department of Electrical Engineering Linkoping University Sweden Control Group Department of Engineering University of Cambridge United Kingdom

ISBN: (纸本)9781479978878

In this paper, we propose a new method to identify biochemical reaction networks (i.e. both reactions and kinetic parameters) from heterogeneous datasets. Such datasets can contain (a) data from several replicates of an experiment performed on a biological system;(b) data measured from a biochemical network subjected to different experimental conditions, for example, changes/perturbations in biological inductions, temperature, gene knock-out, gene over-expression, etc. Simultaneous integration of various datasets to perform system identification has the potential to avoid non-identifiability issues typically arising when only single datasets are used.

关键词： Dataset Biochemical Reaction Biochemical network System identification Kinetic parameters gene overexpression experimental conditions Replicating

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Modeling for IMU-based Online Estimation of a Ship's Mass and Center of Mass

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IFAC-PapersOnLine 2015年第16期48卷 198-203页

作者： Jonas Linder Martin Enqvist Thor I. Fossen Tor Arne Johansen Fredrik Gustafsson Division of Automatic Control Linköping University Linköping Sweden Centre for Autonomous Marine Operations and Systems (AMOS) Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

A ship's roll dynamics is very sensitive to changes in the loading conditions and a worst-case scenario is the loss of stability. This paper proposes an approach for online estimation of a ship's mass and center of mass. Instead of focusing on a sensor-rich environment where all possible signals on a ship can be measured and a complete model of the ship can be estimated, a minimal approach is adopted. A model of the roll dynamics is derived from a well-established model in literature and it is assumed that only motion measurements from an inertial measurement unit together with measurements of the rudder angle are available. Furthermore, identifia-bility properties and disturbance characteristics of the model are presented. Due to the properties of the model, the parameters are estimated with an iterative instrumental variable approach to mitigate the influence of the disturbances and it uses multiple datasets simultaneously to overcome identifiability issues. Finally, a simulation study is presented to investigate the sensitivity to the initial conditions and it is shown that the sensitivity is low for the desired parameters.

关键词： Modelling Identification Operational safety Inertial measurement unit

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Production Operation Management Using Manufacturing Execution Systems (MES)

Production Operation Management Using Manufacturing Executio...

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International computer engineering Conference

作者： M. I. Mahmoud Hossam Hassan Ammar Mohamed. M. Hamdy Mostafa Hassan Eissa Industrial Electronics and Automatic Control Department Faculty of electronics engineering Minoufiya University Mechatronics Engineering Department Faculty of engineering Misr University for Science and Technology (MUST) Physics and Mathematics Engineering Department Faculty of electronics engineering Minoufiya University

ISBN: (纸本)9781509002764

This work concerns with the improvement of industrial process performance by integration of MES and automation tools. The strength of MES and weakness of paper work system have been explained. Managing the relations between production execution with other effective activities (e.g. quality, maintenance, inventory ...etc.) in production management has been introduced. The aim of the present work is to reduce the gap between manufactures expertise and IT expertise and also reduces paper work drawbacks and its side effect on production execution management operation. A design of MES has been proposed and implemented over El-Araby Plastic Injection Molding (PIM) factory as a case study. The results show that MES is beneficial.

关键词： Manufacturing Execution Systems (MES) Software and database design Production operation management ISA-95 Plastic injection molding (PIM)

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Envelope-constrained H∗ filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case

Envelope-constrained H∗ filtering with fading measurements ...

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作者： Ding, Derui Wang, Zidong Shen, Bo Dong, Hongli Shanghai Key Lab of Modern Optical System Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Computer Science Brunel University London Uxbridge MiddlesexUB8 3PH United Kingdom School of Information Science and Technology Donghua University Shanghai200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing163318 China

In this paper, the envelope-constrained H∗ filtering problem is investigated for a class of discrete time-varying stochastic systems over a finite horizon. The system under consideration involves fading measurements, randomly occurring nonlinearities (RONs) and mixed (multiplicative and additive) noises. A novel envelope-constrained performance criterion is proposed to better quantify the transient dynamics of the filtering error process over the finite horizon. The purpose of the problem addressed is to design a time-varying filter such that both the H∗ performance and the desired envelope constraints are achieved at each time step. By utilizing the stochastic analysis techniques combined with the ellipsoid description on the estimation errors, sufficient conditions are established in the form of recursive matrix inequalities (RMIs) reflecting both the envelope information and the desired H∗ performance index. The filter gain matrix is characterized by means of the solvability of the deduced RMIs. Finally, a simulation example is provided to show the effectiveness of the proposed filtering design scheme. © 2015 Elsevier Ltd.

关键词： Stochastic systems

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A quantum Jensen-Shannon graph kernel using discrete-time quantum walks 10

A quantum Jensen-Shannon graph kernel using discrete-time qu...

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10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2015

作者： Bai, Lu Rossi, Luca Ren, Peng Zhang, Zhihong Hancock, Edwin R School of Information Central University of Finance and Economics Beijing China Department of Computer Science University of York York United Kingdom School of Computer Science University of Birmingham Birmingham United Kingdom College of Information and Control Engineering China University of Petroleum Huadong Qingdao Shandong Province China Software school Xiamen University Fujian Xiamen China

ISBN: (纸本)9783319182230

In this paper, we develop a new graph kernel by using the quantum Jensen-Shannon divergence and the discrete-time quantum walk. To this end, we commence by performing a discrete-time quantum walk to compute a density matrix over each graph being compared. For a pair of graphs, we compare the mixed quantum states represented by their density matrices using the quantum Jensen-Shannon divergence. With the density matrices for a pair of graphs to hand, the quantum graph kernel between the pair of graphs is defined by exponentiating the negative quantum Jensen-Shannon divergence between the graph density matrices. We evaluate the performance of our kernel on several standard graph datasets, and demonstrate the effectiveness of the new kernel. © Springer International Publishing Switzerland 2015.

关键词： Quantum theory

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Order reduction of transfer functions in practical control systems 9

Order reduction of transfer functions in practical control s...

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9th International Conference on Electrical and control Technologies, ECT 2014

作者： Alcubilla, Javier Joglar Almansa, Joaquín Aranda Automatic Control and Computer Science Department UNED Madrid Spain

ISBN: (纸本)9781634398039

In the design of control systems and, in particular on aircrafts, you often need to work with mathematical models of high order. There are control methodologies that allow you to do it, as Quantitative Feedback Theory (QFT), although they give rise to compensators (controller and prefilters) with order also high. The real problems in implementation of such controllers are obvious, even in some occasions unworkable. We can consider two solutions: Trying to reduce the order of the original plant to get low order controllers;or reducing the controllers which are the high order solution, we have obtained from the original plant. © Kaunas University of Technology, 2014.

关键词： Transfer functions

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A Heuristic Resource Scheduling Algorithm of Cloud Computing Based on Polygons Correlation Calculation

A Heuristic Resource Scheduling Algorithm of Cloud Computing...

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IEEE International Conference on e-Business engineering (ICEBE)

作者： Jing-Mian Tang Liang Luo Kai-Ming Wei Xun Guo Xiao-Yu Ji School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Air Force Early Warning Academy Wuhan China Beijing Aerospace Automatic Control Institute Beijing China

Cloud computing provides utility-oriented IT services for users worldwide, and it enables offering various kinds of applications to consumer in scientific or business field based on a pay-as-you-go model. Although cloud computing is still in its infancy, the scale of cloud infrastructure is expanding fast, which result in huge energy consumption and operating costs. Due to the complex architecture of cloud infrastructure, it is hard to evaluate and optimize energy consumption of cloud infrastructure in a non-intrusive manner under varying application, user configurations and requirements. In this paper, we present Bin-Balancing Algorithm (BBA), an innovative resource scheduling algorithm for private clouds that integrating the advantages of both bin packing solutions and polygons correlation calculations. BBA is designed to optimize energy consumption, while considering the task deadline, host PE (processing element), memory and bandwidth. Polygons correlation calculation integrated in BBA is used to meet the elastic characteristics of cloud computing services. BBA is validated and well compared with existing resource scheduling algorithms in Cloud Sim toolkit. The results demonstrate that BBA can save energy in cloud infrastructure while balancing the loss of performance and SLA of cloud users.

关键词： Cloud computing Scheduling Bandwidth Scheduling algorithms Correlation Computational modeling

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Beyond duty cycling: Wake-up radio with selective awakenings for long-lived wireless sensing systems

Beyond duty cycling: Wake-up radio with selective awakenings...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Dora Spenza Michele Magno Stefano Basagni Luca Benini Mario Paoli Chiara Petrioli Department of Computer Science University of Rome “La Sapienza” ETH Zurich and University of Bologna Department of Electrical and Computer Engineering Northeastern University Department of Computer Control and Management Engineering University of Rome “La Sapienza”

Emerging wake-up radio technologies have the potential to bring the performance of sensing systems and of the Internet of Things to the levels of low latency and very low energy consumption required to enable critical new applications. This paper provides a step towards this goal with a twofold contribution. We first describe the design and prototyping of a wake-up receiver (WRx) and its integration to a wireless sensor node. Our WRx features very low power consumption (

关键词： Relays Receivers Wireless sensor networks Color Prototypes Sensitivity Power demand

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Convergence Analysis of Gaussian Belief Propagation for Distributed State Estimation

Convergence Analysis of Gaussian Belief Propagation for Dist...

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IEEE Annual Conference on Decision and control

作者： Tianju Sui Damian E. Marelli Minyue Fu Department of Control Science and Engineering Zhejiang University Hangzhou 310013 China School of Electrical Engineering and Computer Science University of Newcastle NSW 2308 Australia

ISBN: (纸本)9781479978878

Belief propagation (BP) is a well-celebrated iterative optimization algorithm in statistical learning over network graphs with vast applications in many scientific and engineering fields. This paper studies a fundamental property of this algorithm, namely, its convergence behaviour. Our study is conducted through the problem of distributed state estimation for a networked linear system with additive Gaussian noises, using the weighted least-squares criterion. The corresponding BP algorithm is known as Gaussian BP. Our main contribution is to show that Gaussian BP is guaranteed to converge, under a mild regularity condition. Our result significantly generalizes previous known results on BP's convergence properties, as our study allows general network graphs with cycles and network nodes with random vectors. This result is expected to inspire further investigation of BP and wider applications of BP in distributed estimation and control.

关键词： State estimation Belief propagation Converge Gauss Gaussian noise Statistical learning Distribute Optimization algorithms

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Event-Based State Estimation for A Class of Nonlinear Discrete-Time Complex Networks with Stochastic Noises

Event-Based State Estimation for A Class of Nonlinear Discre...

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第三十四届中国控制会议

作者： Licheng Wang Zidong Wang Guoliang Wei Yan Song Shanghai Key Lab of Modern Optical System Department of Control Science and Engineering University of Shanghai for Science and Technology Department of Computer Science Brunel University London

ISBN: (纸本)9781467374439

In this paper, the state estimation problem is investigated for a class of discrete-time complex networks under the eventtriggered framework. The event-based estimator receives the updated measurements from the sensors only when the prespecified event-triggering rule is violated. Compared with the traditional estimator with the clock driven rule, a series of event-based state estimators are developed so as to reduce unnecessary data transmissions in the communication channel. Attention is focused on the analysis and design problem of the event-based estimators for the addressed discrete-time complex networks such that the estimation error is exponentially bounded in mean square. Some sufficient conditions are obtained to ensure the existence of the desired estimators and the upper bound of the estimation error is derived. By using the convex optimization technique,the gain parameters of the desired estimators are obtained in an explicit form. Finally, a numerical example is used to show the effectiveness of the proposed estimation approach.

关键词： Event-triggered mechanism,Complex networks,Nonlinearities,State estimation

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