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Modelling and real-time optimisation of a heat-exchanger network ⁎

IFAC-PapersOnLine 2020年第2期53卷 11780-11785页

作者： María P. Marcos José Luis Pitarch César de Prada Systems Engineering and Automatic Control Dept. EII Universidad de Valladolid. C/Real de Burgos s/n 47011 Valladolid Spain Institute of Sustainable Processes C/Real de Burgos s/n 47011 Valladolid Spain

This work proposes a hybrid mathematical model and an optimisation-based tool to support the management of a heat-recovery section (formed by several heat exchangers) in a fibre-production factory. The purpose of the network is to heat different products using several hot sources, employed as utilities. Furthermore, concerns about the degradation of the equipment due to fouling are explicitly taken into account. Hence, the goals are to allocate the hot sources to heat exchangers and to suggest which heat exchanger should be cleaned to achieve optimal economic operation. Experimental models for the overall heat-transfer coefficients with respect to the flows have been identified, and production constraints are considered too. The problem is formulated such that it can be solved in a real-time optimisation fashion via mixed-integer non-linear programming. The approach has been tested through plant historical situations.

关键词： RTO pulp industry heat exchangers fouling MINLP decision support

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Learning Requirements for Stealth Attacks 44

Learning Requirements for Stealth Attacks

引用

44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

作者： Sun, Ke Esnaola, Inaki Tulino, Antonia M. Vincent Poor, H. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Nokia Bell Labs HolmdelNJ07733 United States

ISBN: (纸本)9781479981311

The learning data requirements are analyzed for the construction of stealth attacks in state estimation. In particular, the training data set is used to compute a sample covariance matrix that results in a random matrix with a Wishart distribution. The ergodic attack performance is defined as the average attack performance obtained by taking the expectation with respect to the distribution of the training data set. The impact of the training data size on the ergodic attack performance is characterized by proposing an upper bound for the performance. Simulations on the IEEE 30-Bus test system show that the proposed bound is tight in practical settings. © 2019 IEEE.

关键词： Information theory

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Feed-forward control for a Drinking Water Treatment Plant chlorination process

Feed-forward control for a Drinking Water Treatment Plant ch...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： J. Gamiz H. Mart´nez A. Grau Y. Bolea R. Vilanova Automatic Control Dept. Universitat Politecnica de Catalunya UPC Barcelona Dept. de Sistemas de Control Industrial de Aguas de Barcelona Aigües de Barcelona Barcelona Department of Electronic Engineering Universitat Politecnica de Catalunya UPC Barcelona Department of Telecommunications and Systems Engineering Universitat Autonoma de Barcelona Barcelona

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, conversely, too small a dosage, may breach existing legal regulations on mandatory limits. In DWTP where there is no significant variability in the quality of the water to be treated, a type of control that is proportional to the flow rate in the effluent can have fully satisfactory results. Therefore, Proportional-Integral (PI) control is a rather frequently used solution. However, when there are inherently long delays in the process, variability in the quality of the water to be treated and considerable variations alternative type is needed. This article presents the strategy and results of a control method that proposes a Fuzzy based feed-forward system to complement an existing PI control. The control system results are shown as applied to the DWTP of Barcelona city, producing satisfactory experimental results.

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Temporal Pixel Intensity Processing from Fluoroscopic Angiography

Temporal Pixel Intensity Processing from Fluoroscopic Angiog...

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E-Health and Bioengineering Conference (EHB)

作者： Irina-Andra Tache Dept. of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

The fluoroscopic angiography comprises a temporal sequence of images acquired with a certain frequency. Hence the time density curves can be generated from the temporal and pixels' intensities information. In the paper is presented a new method to process these curves in order to further extract hemodynamic parameters from cardiac X-ray angiography.

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Data Security in Smart Grid

Data Security in Smart Grid

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International Conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Marius-Alexandru Dobrea Mihaela Vasluianu Giorgian Neculoiu Stefan Bichiu Dept. of Automatic Control and Industrial Informatics University Politehnica of Bucharest Bucharest Romania Collective of Automation and Applied Informatics Faculty of Hidrotehnics Technical University of Civil Engineering of Bucharest Bucharest Romania Dept. of Energy Generation and Use University Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

Looking at the Smart Grid as a Cyber - Physical system of great complexity, the paper synthesizes the main IT security issues that may arise. Security issues are seen from a hybrid point of view, combining theory of information with system theory. Smart Grid has changed dramatically over the past years. With modern technologies, such as Big Data or Internet of Things (IoT), the Smart Grid is evolving into a more interconnected and dynamic power network model.

关键词： Smart grids Security Smart meters control systems Intrusion detection Real-time systems Monitoring

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Information Theoretic Data Injection Attacks with Sparsity Constraints

arXiv

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arXiv 2020年

作者： Ye, Xiuzhen Esnaola, Iñaki Perlaza, Samir M. Harrison, Robert F. Dept. of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Dept. of Electrical Engineering Princeton University PrincetonNJ08544 United States INRIA Centre de Recherche de Sophia Antipolis - Méditerranée France

Information theoretic sparse attacks that minimize simultaneously the information obtained by the operator and the probability of detection are studied in a Bayesian state estimation setting. The attack construction is formulated as an optimization problem that aims to minimize the mutual information between the state variables and the observations while guaranteeing the stealth of the attack. Stealth is described in terms of the Kullback-Leibler (KL) divergence between the distributions of the observations under attack and without attack. To overcome the difficulty posed by the combinatorial nature of a sparse attack construction, the attack case in which only one sensor is compromised is analytically solved first. The insight generated in this case is then used to propose a greedy algorithm that constructs random sparse attacks. The performance of the proposed attack is evaluated in the IEEE 30 Bus Test Case. Copyright © 2020, The Authors. All rights reserved.

关键词： Machine learning

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Bayesian Neural Networks Uncertainty Quantification with Cubature Rules

Bayesian Neural Networks Uncertainty Quantification with Cub...

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International Joint Conference on Neural Networks (IJCNN)

作者： Peng Wang Nidhal C. Bouaynaya Lyudmila Mihaylova Jikai Wang Qibin Zhang Renke He Automatic Control & Systems Engineering Dept. The University of Sheffield Information and Navigation College Air Force Engineering University The 32nd Research Institute of CETC Department of Automation University of Science and Technology of China Department of Electrical and Computer Engineering Rowan University

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

Bayesian neural networks are powerful inference methods by accounting for randomness in the data and the network model. Uncertainty quantification at the output of neural networks is critical, especially for applications such as autonomous driving and hazardous weather forecasting. However, approaches for theoretical analysis of Bayesian neural networks remain limited. This paper makes a step forward towards mathematical quantification of uncertainty in neural network models and proposes a cubature-rule-based computationally-efficient uncertainty quantification approach that captures layer-wise uncertainties of Bayesian neural networks. The proposed approach approximates the first two moments of the posterior distribution of the parameters by propagating cubature points across the network nonlinearities. Simulation results show that the proposed approach can achieve more diverse layer-wise uncertainty quantification results of neural networks with a fast convergence rate.

关键词： Neural networks Uncertainty Bayes methods Computational modeling Gaussian distribution Two dimensional displays Weather forecasting

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Partial Pole Placement using Static Output Feedback

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IFAC-PapersOnLine 2020年第2期53卷 4527-4533页

作者： Manuel Pusch Julian Theis Daniel Ossmann Institute of System Dynamics and Control German Aerospace Center (DLR) 82234 Weßling Germany Institute of Aircraft Systems Engineering Hamburg University of Technology 21129 Hamburg Germany Dept. of Mechanical Automotive and Aeronautical Engineering Munich University of Applied Sciences 80335 Munich Germany

For many dynamical systems it is required to specifically shift individual poles, especially when these poles are lightly damped or even unstable. To achieve that, a preferably large number of effectors and measurements are installed leading to multivariable control problems. In this paper, a novel control approach is presented for placing either a single pole or a conjugate complex pole pair at a predefined location using rank-one static output feedback. Rank-one feedback can be interpreted as blending inputs and outputs to define a single input and single output loop with a desirable root locus along which the pole is moved. The corresponding controller synthesis is reduced to an unconstrained optimization problem in a single variable that aims at minimizing the feedback gain. Although the approach is derived for a single pole or conjugate complex pole pair, it is easily extended to multiple poles. To this end, a repeated design and superposition of rank-one feedback gains is proposed. It is further shown how residual system dynamics as well as subsequently designed gains can be efficiently decoupled from each other in order to avoid undesired interactions and spillover effects. The effectiveness of the proposed control approach is demonstrated by means of a numerical example.

关键词： static feedback control multivariable systems pole assignment blending of inputs outputs modal control

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Design of neural nonlinear PFC controller to control speed of autonomous car

arXiv

引用

arXiv 2019年

作者： Asaad, Isam Chiha, Bilal Dept. of Computers and Automatic Control Faculty of Mechanical and Electronic Engineering Tishreen University Syria

In this research, we are going to design a neural nonlinear predictive functional controller (PFC) to achieve a reduced fuel consumption for a chosen autonomous car walks according to a supplied speed trajectory on known roads. We used a fitting neural network as a simple tool for modelling the car's engine and control laws needed to calculate the suitable control commands passed to the brakes and gas pedals' actuators. Independent model method and constraints handling are used to provide controller robustness. We used MATLAB Simulink and IPG CarMaker to design and test our PFC controller. The performance of designed PFC controller is compared to the performance of a PI controller which exists within IPG CarMaker simulator. Copyright © 2019, The Authors. All rights reserved.

关键词： controllers

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Designing robust controllers by the mini-max search method: Keynote paper

Designing robust controllers by the mini-max search method: ...

引用

2019 International Siberian Conference on control and Communications, SIBCON 2019

作者： Zhmud, Vadim Stukach, Oleg Ivoilov, Andrey Roth, Hubert Dimitrov, Lubomir Dept. of Automation Novosibirsk State Technical University Novosibirsk Russia National Research University Higher School of Economics Novosibirsk State Technical University Moscow Russia Dept. of Automatic Control Engineering University of Siegen Siegen Germany Vice-Rector of Technical University of Sofia Sofia Bulgaria

ISBN: (纸本)9781538651414

The problem of regulators (controllers) design is extremely relevant in connection with the penetration into all technological areas of the methods of precise control of objects with feedback. Such devices are being more and more used, which increases the variety of controlled objects. This list includes all new objects of robotics and technological setups, which have much more complex mathematical models. One of the most urgent problems in this area is control of non-stationary objects. Parameters of mathematical model of these objects are given with some uncertainty, but not in fixed values, i.e. by only intervals of their possible changes. If the intervals are too wide, adaptive systems have to be designed, but if they are not too wide, then one can try to find a universal regulator setting that will be sufficiently effective for all ratios of the model parameters within the acceptable intervals of their changes. The paper proposes a new method of the numerical optimization of regulator for finding such a setting for the worst object model that is for the worst combination of all variable parameters. Finding the worst model is also carried out by a numerical optimization method, in which a combination of model parameters is found where the best regulator gives the worst result. The problem is proposed to solve in several optimization cycles with alternation of objective functions. The technique has been well illustrated by a numerical example. © 2019 IEEE.

关键词： controllers

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