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MODEL PREDICTIVE control OF INTEGRATED QUANTITY AND QUALITY IN DRINKING WATER DISTRIBUTION systems

IFAC Proceedings Volumes 2007年第5期40卷 95-100页

作者： M. Drewa M.A. Brdys A. Cimiński Department of Automatic Control Gdansk University of Technology ul G. Narutowicza 11/12 80 -952 Gdansk Poland School of Engineering Department of Electrical Electronic and Computer Engineering The University of Birmingham Birmingham B15 2TT UK

The paper considers a feedback optimising control of drinking water distribution systems (DWDS). Although the optimised pump and valves scheduling and disinfectant injection control attracted considerable attention over last two decades most of the contributions were limited to an open-loop optimisation repetitively performed during the DWDS operation. An information feedback from the DWDS is needed in reality in order to compensate uncertainty in the water demand prediction and the modelling errors. Also, while a strong interaction between the water quantity and quality exists most of the proposals regards either quality or quantity control. In this paper a generic model predictive controller for the optimising control of an integrated quantity and quality in DWDS is derived and applied to the case - study system. The simulation results based on real data records are presented..

关键词： predictive control closed-loop control integrated plant control genetic algorithms water quantity and quality

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Adaptive steady-state target optimization using iterative modified gradient-based methods in linear non-square MPC

Adaptive steady-state target optimization using iterative mo...

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2009 American control Conference (ACC 2009)

作者： L.R.E. Shead K.R. Muske J.A Rossiter Department of Automatic Systems and Control Engineering Mappin Street University of Sheffield S1 3JD UK Villanova University Villanova PA USA

ISBN: (纸本)9781424445233

An important feature of linear model predictive control (MPC) is the ability to provide offset-free control through integral action. Linear MPC can utilize a steady-state target optimizer (SSTO) in conjunction with a dynamic optimization in order to manage systems that are non-square, have integrating modes, or encounter infeasible setpoints. Integral action does not ensure that the feasible steady-state target is closest to the true optimum when the desired setpoint is infeasible. This paper describes the modifications necessary to linear state-space MPC algorithms in order to address this problem (assuming systems with no integrating modes). The solution employs features of the Integrated System Optimization and Parameter Estimation (ISOPE) algorithm: the SSTO cost is modified by a term that results in matching of the true plant and model conditions necessary for optimality. This work combines well with prior work [19], [20] which has determined the situations where the modification is actually necessary.

关键词： Maximum Allowable Concentration system optimization Necessary Steady state Targets Free control

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Numerical operability analysis of multidimensional systems with interval parameters using interval degeneration factors

Numerical operability analysis of multidimensional systems w...

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作者： Dudarenko, Natalia Ushakov, Anatoly Department of Computer Science and Electrical Engineering Luleå University of Technology SE-971 87 Luleå Sweden Department of Control Systems and Informatics National Research University of Information Technologies Mechanics and Optics Kronverkskiy pr. 49 197101 Saint Petersburg Russia

ISBN: (纸本)9789604741991

This paper deals with the problem of numerical analysis of multidimensional systems with interval parameters in relation to the operability of MIMO systems. The problem is analyzed for the case when the relative estimation of the interval parameters exceeds 0.5 and based on the assumption that only the state matrix of a MIMO system contains interval parameters. The problem of operability estimation of the MIMO system is solved with interval degeneration factors. Interval degeneration factors are constructed using interval arithmetic and the singular values of the interval criterion matrices of the system. An operability analysis algorithm of multidimensional systems with interval parameters is proposed in the paper. The results are supported with an example.

关键词： MIMO systems

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On the Impact of Noisy Labels on Supervised Classification Models 23rd

On the Impact of Noisy Labels on Supervised Classificatio...

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23rd International Conference on Computational Science, ICCS 2023

作者： Dubel, Rafal Wijata, Agata M. Nalepa, Jakub Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Faculty of Biomedical Engineering Silesian University of Technology Roosevelta 40 Zabrze41-800 Poland KP Labs Konarskiego 18C Gliwice44-100 Poland

ISBN: (纸本)9783031360206

The amount of data generated daily grows tremendously in virtually all domains of science and industry, and its efficient storage, processing and analysis pose significant practical challenges nowadays. To automate the process of extracting useful insights from raw data, numerous supervised machine learning algorithms have been researched so far. They benefit from annotated training sets which are fed to the training routine which elaborates a model that is further deployed for a specific task. The process of capturing real-world data may lead to acquring noisy observations, ultimately affecting the models trained from such data. The impact of the label noise is, however, under-researched, and the robustness of classic learners against such noise remains unclear. We tackle this research gap and not only thoroughly investigate the classification capabilities of an array of widely-adopted machine learning models over a variety of contamination scenarios, but also suggest new metrics that could be utilized to quantify such models’ robustness. Our extensive computational experiments shed more light on the impact of training set contamination on the operational behavior of supervised learners. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Digital storage

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Distributed Finite Time k-means Clustering with Quantized Communucation and Transmission Stopping

arXiv

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arXiv 2022年

作者： Rikos, Apostolos I. Oliva, Gabriele Hadjicostis, Christoforos N. Johansson, Karl H. The Division of Decision and Control Systems KTH Royal Institute of Technology StockholmSE-100 44 Sweden The Unit of Automatic Control Department of Engineering Università Campus Bio-Medico di Roma via Álvaro del Portillo 21 Rome00128 Italy The Department of Electrical and Computer Engineering University of Cyprus Nicosia1678 Cyprus

In this paper, we present a distributed algorithm which implements the k-means algorithm in a distributed fashion for multi-agent systems with directed communication links. The goal of k-means is to partition the network’s agents in mutually exclusive sets (groups) such that agents in the same set have (and possibly share) similar information and are able to calculate a representative value for their group. During the operation of our distributed algorithm, each node (i) transmits quantized values in an event-driven fashion, and (ii) exhibits distributed stopping capabilities. Transmitting quantized values leads to more efficient usage of the available bandwidth and reduces the communication bottleneck. Also, in order to preserve available resources, nodes are able to distributively determine whether they can terminate the operation of the proposed algorithm. We characterize the properties of the proposed distributed algorithm and show that its execution (on any static and strongly connected digraph) will partition all agents to mutually exclusive clusters in finite time. We conclude with examples that illustrate the operation, performance, and potential advantages of the proposed algorithm. © 2022, CC BY.

关键词： K-means clustering

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Comparative Analysis of Pharmacokinetic-Pharmacodynamic Models for Propofol and Remifentanil Using Model Predictive control

Comparative Analysis of Pharmacokinetic-Pharmacodynamic Mode...

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European control Conference (ECC)

作者： A. R. Ynineb H. Farbakhsh G. Ben Othman Y. Wahlquist I. R. Birs E. Yumuk C. I. Muresan R. De Keyser D. Copot C. M. Ionescu M. Neckebroek Department of Electromechanics Systems and Metal Engineering Research Group on Dynamical Systems and Control Ghent University Gent Belgium Department of Automatic Control Lund University Lund Department of Automation Technical University of Cluj-Napoca Cluj-Napoca Romania Department of Control and Automation Engineering Istanbul Technical University Maslak Istanbul Turkey Department of Anesthesia Ghent University Hospital Ghent Belgium

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This study aims to compare the effectiveness of different Pharmacokinetic-Pharmacodynamic (PK-PD) models for administering Propofol and Remifentanil, two critical agents in anesthesia. Initially, different PK models were introduced: one for Propofol based on the Schnider model and another for Remifentanil using the Minto model. Alternatively, both drugs were modeled using the Eleveld models. The PK-PD models were integrated into a closed-loop control system using model predictive control (MPC) with disturbances to control the Bispectral index (BIS) and the Richmond Agitation Sedation Scale (RASS). The methodology involved simulating the anesthetic agents in the open-source patient simulator (2 inputs, 2 outputs) with 12 patient datasets in a controlled environment to simulate the patient response variability, allowing for a detailed analysis of the model's performance in maintaining optimal drug concentrations. The primary focus was on the system's ability to adapt to surgical disturbances, a key challenge in anesthesia management, and whether a different modeling of drugs can have an impact on their effects. The results indicated significant differences in the performance of the two models configurations. The Eleveld model for Propofol showed less usage of drugs to maintain the desired BIS value. Concluding that this comparative analysis offers a valuable reference for selecting appropriate modeling approaches in the development of advanced control strategies in anesthesia.

关键词： Drugs Analytical models Adaptation models Surgery Europe Predictive models Anesthesia

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Denial of service attacks on control systems with packet loss

arXiv

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arXiv 2019年

作者： Casbolt, William Esnaola, Iñaki Jones, Bryn Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

The performance of control systems with packet loss as a result of an attack over the actuation communication channel is analysed. The operator is assumed to monitor the state of the channel by measuring the average number of packet losses and an attack detection criteria is established based on the statistic. The performance of the attacker is measured in terms of the increase of the linear quadratic cost function of the operator subject to a given detection constraint. Within that setting, the optimal denial of service (DoS) attack strategy is formulated for UDP-like and TCP-like communication protocols. For both communication protocols, DoS attack constructions that are independent and identically distributed (IID) are compared to those that are non-stationary. The main contributions of this paper are (i) explicit characterisation of the expected cost increase of the optimal attack constructions and the associated packet loss parameter for the IID case, (ii) proof, by example, that non-stationary random attacks outperform IID attacks in the presence of detection constraints. Copyright © 2019, The Authors. All rights reserved.

关键词： Networked control systems

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Time series prediction by a neural network model based on the bi-directional computation style

Time series prediction by a neural network model based on th...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Wakuya J.M. Zurada Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Saga University Saga Japan Department of Electrical and Computer Engineering University of Louisville Louisville KY USA

A number of neural network models and training procedures for time series prediction have been proposed in the technical literature. These models typically used uni-directional computation flow or its modifications. In this study a novel concept of bi-directional computation style is proposed and applied to prediction tasks. Since the coupling effects between the future prediction system and the past prediction system help the proposed model improve its performance, it is found that the prediction score is better than with the traditional uni-directional method. The bi-directional predicting architecture has been found to perform better than the conventional one when tested with standard benchmark sunspots data.

关键词： Neural networks Predictive models Bidirectional control computer networks computer architecture Neurons Home computing Performance evaluation Benchmark testing computer simulation

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2D sinusoidal amplitude estimation with application to 2D system identification

2D sinusoidal amplitude estimation with application to 2D sy...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hongbin Li Wei Sun P. Stoica Jian Li Department of Electrical and Computer Engineering Stevens Institute of Technology Hoboken NJ USA Department of Systems and Control University of Uppsala Uppsala Sweden Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

We previously studied amplitude estimation of one-dimensional (1D) sinusoidal signals from measurements corrupted by possibly colored observation noise (see Stoica, P. et al., IEEE Trans. on Sig. Proc., vol. 48, p.338-52, 2000). We extend those results for two-dimensional (2D) amplitude estimation. In particular, we investigate the 2D sinusoidal amplitude estimation within the general frameworks of least squares (LS), weighted least squares (WLS), and MAtched FIlterbank (MAFI) estimation. A variety of 2D amplitude estimators are presented, which are all asymptotically statistically efficient. The performances of these estimators in finite samples are compared numerically with one another. Making use of amplitude estimation techniques, we introduce a new scheme for 2D system identification, which is shown to be computationally simpler and statistically more accurate than the conventional output error method (OEM), when the observation noise is colored.

关键词： Amplitude estimation System identification Noise level Least squares approximation Colored noise Additive noise Frequency estimation Application software Sun control systems

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Optimal control of systems with multichannel packet loss

arXiv

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arXiv 2019年

作者： Casbolt, William Jones, Bryn Esnaola, Iñaki The Department of Automatic Control and Systems Engineering University of Sheffield SheffieldS1 3JD United Kingdom The Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

The performance of control systems with input packet losses on the controller to plant communication channel is analysed. The main contribution of this work is a proof that linear optimal control systems operating with UDP-like communication protocols have a larger quadratic cost than the same systems operating with TCP-like protocols. The proof is derived for the general case of multidimensional and independent actuation communication channels. In doing so, our results extend previous work to systems with multiple distributed actuators. The difference in cost between two communication protocols is analysed, enabling the maximal difference between the two protocols to be quantified. Numerical examples are presented to highlight the difference in costs induced by the choice of communication protocol. Copyright © 2019, The Authors. All rights reserved.

关键词： Packet loss

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