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Computing the explicit MPC solution in the constrained zonotope case

Computing the explicit MPC solution in the constrained zonot...

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IEEE Conference on Decision and control

作者： Florin Stoican Ştefan S. Mihai Martin Mönnigmann Bogdan D. Ciubotaru Department of Automatic Control and Systems Engineering University “Politehnica” of Bucharest 313 Splaiul Independenţei 060042 Sector 6 Bucharest Romania Martin Mönnigmann is with Automatic Control and System Theory Ruhr University Bochum Bochum Germany

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

Solving the explicit model predictive control (MPC) problem entails enumerating a list of critical regions and their ancillary feedback laws. Unfortunately, their number and the time required to compute them increase exponentially with the problem size (state-space model dimension and length of the prediction horizon). We show that when, as it is often the case, the problem’s constraints take the form of boxes or zonotopes, the resulting feasible domain can be compactly described as a constrained zonotope. Subsequently, we investigate whether, and under which circumstances, the combinatorial structure of the constrained zonotope interpretation accelerates the computation of the explicit solution.

关键词： State-space methods Predictive control

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Optical and radio probing of lightning-associated phenomena in the atmosphere and ionosphere

Optical and radio probing of lightning-associated phenomena ...

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SICE Annual Conference

作者： T. Asano Y. Matsudo T. Suzuki Y. Hobara M. Hayakawa Department of Electronic Engineering University of Electro-Communications Chofu Tokyo Japan Air Force Defense Fuchu Tokyo Japan Department of Automatic Control and System Engineering Sheffield University UK

ISBN: (纸本)9784907764296

The monitoring and/or sounding of lightning discharges and their associated phenomena (mesospheric optical emissions etc.) has been performed by radio and optical measurements. We pay attention to the winter lightning in the Hokuriku area (Japan Sea side) of Japan, because it is extremely important to investigate whether lighting discharges in the Hokuriku area (whole spatial scale is relatively small in comparison with the conventional summer lightning in the US) could trigger the mesospheric optical emissions. The optical observation of those mesospheric emissions and the corresponding radio sounding by ELF and VHF radio waves of their parent lightning, have been reported. The observing systems are firstly presented, and our latest observational facts on the mesospheric emissions in the Hokuriku area, their parent lightning and some computer simulations on the sprite initiation, are presented.

关键词： Lightning Mesospheric emissions Optical measurement Radio measurement

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Identification of critical load-parameters in power systems using bifurcation analysis

Identification of critical load-parameters in power systems ...

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International Conference on control and Automation (ICCA)

作者： I. Winzenick M. Fette J. Horn Department of Electrical Engineering / Institute of Automatic Control Engineering Helmut Schmidt University-University of the Federal Armed Forces Hamburg Germany System and Dynamik Beratungsunternehmen Paderborn Germany

The importance of an uninterrupted electric power service was illustrated in 2003 and 2004 by several outages of electric power systems all over the world. In order to prevent such incidents information about the possible critical parameters are needed. Because of lack of information about this part of the system parameters of the load components are of special interest. Special recently developed tools are capable to analyze parameter influences. Together with test functions they are even capable to identify and classify so called bifurcation. This work presents a systematical analysis of load parameter changes. Points where the system changes its behavior qualitatively (=bifurcations) are identified. Furthermore, their dependence of second or third parameters are analyzed as well. This is illustrated by considering an often-used example: a nine bus power system.

关键词： Power system analysis computing Bifurcation Power systems Uninterruptible power systems Power system control Testing Power system stability Power system modeling Power system dynamics automatic control

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Unsupervised Learning-Based Methodology for Detection of Postural Anomalies in Wheelchair Users

Unsupervised Learning-Based Methodology for Detection of Pos...

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IEEE International Conference on systems, Man and Cybernetics

作者： Patrick Vermander Aitziber Mancisidor Giancarlo Fortino Itziar Cabanes Raffaele Gravina Department of Automatic Control and System Engineering University of the Basque Country (UPV/EHU) Bilbao Spain Department of Informatics Modeling Electronics and Systems engineering University of Calabria (UNICAL) Rende Italy

Postural monitoring in wheelchair users is a topic of growing interest. The detection of changes in the sitting patterns of these patients may serve to detect changes in their functional status and be able to adapt rehabilitation early. For this reason, this paper presents a methodology for the detection of specific postural anomalies that, unlike previous works, adopts unsupervised learning. The proposed methodology involves data dimensionality reduction using Principal Component Analysis, and the application of K-means clustering to group different normal posture states. The anomalies are detected using a threshold approach, where data points that fall outside a certain threshold are considered as anomalies. The results show that the methodology is effective in identifying anomalies with a high degree of accuracy (around 90%).

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Data-driven Model Based Online Fault Detection Using OMP-ERR 4

Data-driven Model Based Online Fault Detection Using OMP-ERR

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4th International Conference on Industrial Artificial Intelligence, IAI 2022

作者： Zhou, Guangze Luo, Zhong Zhu, Yunpeng Gao, Yi Wang, Zhiao Northeastern University School of Mechanical Engineering and Automation Shenyang110819 China Northeastern University Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China Shenyang110819 China Dalian University of Technology State Key Laboratory of Structural Analysis for Industrial Equipment Dalian116024 China University of Sheffield Department of Automatic Control and System Engineering SheffieldS13JD United Kingdom

ISBN: (数字)9781665451208

ISBN: (纸本)9781665451208

Model based online fault detection often conducted by extracting features from models driven by system input and output data under various working conditions. The efficiency of online system modelling is therefore significant to improve the performance of online fault detections. In this study, a novel fast data-driven modelling approach, known as the OMP (Orthogonal Matching Pursuit)- ERR (Error Reduction Ratio) method is proposed to improve the efficiency of online fault detections. The new system identification method is motivated by noticing that the traditional OMP algorithm is much faster but usually less accurate than the OLS (Orthogonal least squares) algorithm in the identification of system NARX (Nonlinear Auto-Regressive with Exogenous inputs) models. The problem is first illustrated by the identification of a Single Degree of Freedom (SDoF) system. After that, the OMP-ERR algorithm is developed to improve the NARX modelling efficiency for the purpose of system model-based online fault detections. A case study on the crack detection of a cantilever beam shows that the new approach is over 10 times faster than the traditional OLS modelling process, demonstrating the promising applications of the new approach in online fault detections in engineering practice. © 2022 IEEE.

关键词： Least squares approximations

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Explicit interpolation-based nonlinear model predictive control with a convex approximation of the feasible set

Explicit interpolation-based nonlinear model predictive cont...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Alexandra Grancharova Sorin Olaru Institute of System Engineering and Robotics Bulgarian Academy of Sciences Sofia Bulgaria SUPELEC Systems Sciences (E3S) - Automatic Control Department

In this paper, an approach to explicit interpolation-based MPC of constrained nonlinear systems is proposed, which is based on the ideas in [9], [10] for explicit constrained control of linear systems by applying interpolation techniques. The developed approach can be considered as an extension of the method in [9], [10] in the following directions: (i) nonlinear discrete-time systems are considered, which are regulated to the origin by solving an NMPC problem, (ii) a method for construction of a convex approximation of the feasible set for the formulated NMPC problem is suggested, (iii) the vertex control (the control values at the vertices of the approximate feasible set) is determined by solving the NMPC problem, instead of maximizing the control action, (iv) an algorithm for explicit interpolation-based NMPC is developed, where the explicit approximate solution is defined on a simplicial partition of the convex approximate feasible set. The proposed approach is illustrated on a numerical example.

关键词： Interpolation Optimization Nonlinear systems Discrete-time systems Optimal control Approximation error

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Macro-Actions in Model-Free Intelligent control with Application to pH control

Macro-Actions in Model-Free Intelligent Control with Applica...

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IEEE Conference on Decision and control

作者： S. Syafiie F. Tadeo E. Martinez Department of System Engineering and Automatic Control Faculty of Sciences University of Valladolid Prado de la Magdalena s/n 47011 Valladolid Spain (email: syam@autom.uva.es). Department of System Engineering and Automatic Control University of Valladolid Valladolid Spain Consejo Nacional de Investigaciones Cientificas y Technicas Santa Fe Argentina

ISBN: (纸本)0780395670

MFIC (Model-Free Intelligent control) is a technique, based on Reinforcement Learning, previously proposed by the authors to control processes without needing a precalculated model. In standard reinforcement learning algorithms (including MFIC), the interaction between an agent and the environment is based on a fixed time scale: during learning, the agent can select several primitive actions depending on the system state. This creates the problem of selecting a suitable fixed time scale to select control actions, to trade off accuracy in control against learning complexity and flexibility. A novel solution to this problem is presented in this paper: Macro-actions, that incorporate a general closed-loop policy and temporal extended actions. The application of macro actions on a laboratory plant of pH process shows that the proposed MFIC learns to control adequately the neutralization process, with reduced computational effort.

关键词： Intelligent control Learning Process control Size control Laboratories Signal processing Stochastic processes systems engineering and theory automatic control Iron

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Preventing Frequency Instability Using Large-Scale Photovoltaic Resources

Preventing Frequency Instability Using Large-Scale Photovolt...

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Technology and Energy Management (ICTEM), International Conference on

作者： Siavash Yari Hamid Khoshkhoo Kumars Rouzbehi S. M. Ale Emran Faculty of Electrical Engineering Sahand University of Technology Sahand Iran Department of System Engineering and Automatic Control University of Seville Seville Spain Faculty of Engineering University of Quebec at Chicoutimi (UQAC)

Various control methods have been presented to prevent the occurrence of instability in power systems, among which, it seems that methods based on the special protection system (SPS) are more effective and efficient than other ones. In this article, a SPS using the capabilities of large-scale photovoltaic power plants (LSPVPPs) is presented to prevent frequency increase and instability in power systems. According to the presented algorithm, when frequency increases, the proposed SPS uses the ability of photovoltaic power plants to quickly change their generation powers based on the operating point and frequency changes to prevent frequency instability. To confirm the proposal, LSPVPPs along with their controllers are modeled in the DSL environment of DIgSILENT PowerFactory software. The proposed SPS is implemented and tested on the IEEE 39-bus test system and the results of dynamic simulations show that this SPS prevents frequency instability in different conditions by taking timely measures.

关键词： Photovoltaic systems Time-frequency analysis Power system dynamics Software algorithms Power system stability Stability analysis Software

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Notch filter on differential difference operational amplifier 3

Notch filter on differential difference operational amplifie...

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3rf International Scientific Conference on Metrological Support of InnovativeTechnologies, ICMSIT 2022

作者： Yu Denisenko, D. Prokopenko, N.N. Ivanov, Yu I. Butyrlagin, N.V. Information System and Radio Engineering Department Don State Technical University Gagarin Sq. 1 Rostov-on-Don344000 Russia Department of Automatic Control Systems Southern Federal University Bolshaya Sadovaya St. 33 Rostov-on-Don344000 Russia Department of Information System and Radio Engineering Don State Technical University Gagarin Sq. 1 Rostov-on-Don344000 Russia Institute for Design Problems in Microelectronics of Russian Academy of Sciences IPPM RAS Zelenograd124681 Russia

A new notch filter (NF) circuit based on a single differential difference operational amplifier (DDA) has been developed and studied, which is characterized by reduced current consumption in the static mode. Equations are obtained for the transfer functions and parameters of the NF, which includes a low-pass filter and a Sallen-Key high-pass filter, the signals of which are summed by the DDA. Computer modeling of the NF in CAD Micro-Cap was performed. © Published under licence by IOP Publishing Ltd.

关键词： Operational amplifiers

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Adaptive control on manifolds of nonlinear control plants with complex and oscillation dynamics

Adaptive control on manifolds of nonlinear control plants wi...

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International Conference on control of Oscillations and Chaos

作者： V.A. Terekhov I.Y. Tyukin Department of Automatic and Control Processes Saint Petersburg State Electrical Engineering University LETI Saint Petersburg Russia Powertrain Control System Dept Ford Research Laboratory Dearborn USA

This work deals with the developing of Adaptive control on Manifolds algorithms (ACM) designed for the accompanying quality functionals in their general form. Our point here is to apply the ACM approach and to introduce some practice restrictions for the nonlinear control plants in the case of the quadratic accompanying functionals (QAF). In this article framework we analyze the applicability conditions of designed algorithms and illustrate received results for the problem of adaptive control of combustion engine crankshaft rotation speed.

关键词： Adaptive control State-space methods control systems Algorithm design and analysis Manifolds automatic control Nonlinear dynamical systems Process control Laboratories Mechanical power transmission

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