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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

System Identification-informed Transparent and Explainable M...

引用

Electrical, computer, Communications and Mechatronics engineering (ICECCME), International Conference on

作者： Hua-Liang Wei Dept. Automatic Control and Systems Engineering Energy Institute Centre of Machine Intelligence Centre for Signal Processing and Cpmplex Systems The University of Sheffield Sheffield UK

System identification (SysID) is the art and science of dealing with dynamic data modelling problems from systems science perspectives. It has been an active field and is still very active today, due to its wide range of applications, especially its basic principles of finding transparent, interpretable and parsimonious models for different purposes. The past decades have witnessed the explosive growth in machine learning (ML) and its applications in all areas of science and engineering. Meanwhile, there has been an increasing demand for the development of transparent, explainable and/or interpretable ML models. This paper proposes a new framework for developing System Identification-informed Transparent and Explainable MAchine Learning (SITEMAL) models. A case study, involving a real power consumption dataset, is presented to demonstrate the application of the proposed modelling framework and its performance for power consumption forecasting.

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Pose-free visual servoing from 3D measurements

Pose-free visual servoing from 3D measurements

引用

European control Conference (ECC)

作者： Adrian Burlacu Radu L. Rosca Andrei I. Iancu Enric Cervera Dept. of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Romania Dept. of Computer Science and Engineering Jaume I University Spain

In this paper, a novel approach to visual servo control robotic systems is proposed. It is focused on developing a solution using 3D point features without recovering the rigid object’s pose. Pose-free motion is achieved using motion parameterization techniques based on dual numbers and dual vectors. Considering an imposed velocity field over the motion of the 3D point features ensemble, this work proposes a close-form solution to a visual servoing problem. The solution provides stable motion control while preserving the image features in the field of view. However, when some point features leave the field of view, their contribution to the control law is dropped without losing stability. The proposed solution is easy to tune and implement. Various scenarios are used in simulations and real experiments to show how the proposed solution overcomes classic servoing problems.

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Research of a Filter on Switchable Capacitors with Three-Phase control of Electronic Keys

Research of a Filter on Switchable Capacitors with Three-Pha...

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Wave Electronics and its Application in Information and Telecommunication systems (WECONF)

作者： Darya Denisenko Alexey Titov Nikolay Butyrlagin Alexey Zhuk dept. of Scientific Research Don State Technical University Rostov-on-Don Russia dept. of Automatic Control Systems Southern Federal University Rostov-on-Don Russia dept. of Information Systems and Radio Engineering Don State Technical University Rostov-on-Don Russia

ISBN: (数字)9798350364989

ISBN: (纸本)9798350364996

A low frequencies filter of the second order on switched capacitors has been developed and studied, the distinctive feature of which is three-phase control of three electronic keys. In the proposed circuit, this allows, at constant parameters of the frequency-setting capacitors and a fixed switching frequency of electronic keys, to control the frequency of the filter pole by changing the ratio of the resistances of resistors in the general feedback circuit. The basic equations for the filter transmission coefficients at zero frequency and at the pole frequency are given, as well as formulas for calculating the pole frequency and pole attenuation at the second order. A simulation of the filter was made in the Micro-Cap environment, which shows that the considered circuit solution performs the functions of a low-pass filter. Considered filter on switched capacitors can be used to create new adaptive measuring systems and analog-digital signal processing devices.

关键词： Resistors Switching frequency Capacitors Low-pass filters Switches control systems Information filters

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From Model Predictive control to Data Driven control to Meet High Efficiency Objective of a PMSM Drive System

From Model Predictive Control to Data Driven Control to Meet...

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International Conference on Applied and Theoretical Electricity (ICATE)

作者： Madalin Costin Ion Bivol Dept. of Electrical Engineering and Energy Conversion Systems “Dunarea de Jos” University of Galati Galati Romania Dept. of Automatic Control and Applied Informatics “Gheorghe Asachi” Technical University of Iasi Iasi Romania

ISBN: (数字)9798350388107

ISBN: (纸本)9798350388114

In this paper is proposed a Data Driven control (DDC) law of a Permanent Magnet Synchronous Machine (PMSM) drive as an alternative to the Model Predictive control (MPC) strategy. The DDC method is designed for the inner control structure of the PMSM drive, the outer speed loop being employed by a classical linear PI controller. Thus, the DDC is based on build up a database of the relevant quantities as electromagnetic torque, speed, voltages and current, all obtained in steady - state regime with MPC strategy, being selected for the highest efficiency values for a given pair of speed and torque. The learning process of the DDC strategy by a mutidimesional interpolation method leads to obtain high performances in both steady - state and dynamic regimes, without any additional optimal current reference command. A comparative analysis done in Matlab simulation environment of the results obtained by both MPC and DDC control laws shows the effectiveness of the last strategies. The DDC method provide a robust optimal control under energetic constraints, being more suitable then the classical MPC law that can not offers reliable results for a large area of conditions in practice.

关键词： Permanent magnet machines Interpolation Torque Stator windings Prediction algorithms Permanent magnets Temperature control Steady-state Reliability Predictive control

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Direct Data-Driven State-Feedback control of General Nonlinear systems

Direct Data-Driven State-Feedback Control of General Nonline...

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IEEE Conference on Decision and control

作者： Chris Verhoek Patrick J. W. Koelewijn Sofie Haesaert Roland Tóth Dept. of Electrical Engineering Control Systems group Eindhoven University of Technology The Netherlands Institute for Computer Science and Control Budapest Hungary

Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL) systems. The core idea is to develop a data-driven representation of the so-called velocity-form, i.e., the time-difference dynamics, of the NL system, which is shown to admit a direct linear parameter-varying (LPV) representation. By applying the LPV extension of the Fundamental Lemma in this velocity domain, a state-feedback controller is directly synthesized to provide asymptotic stability and dissipativity of the velocity-form. By using realization theory, the synthesized controller is realized as a NL state-feedback law for the original unknown NL system with guarantees of universal shifted stability and dissipativity, i.e., stability and dissipativity w.r.t. any (forced) equilibrium point, of the closed-loop behavior. This is achieved by the use of a single sequence of data from the system and a predefined basis function set to span the scheduling map. The applicability of the results is demonstrated on a simulation example of an unbalanced disc.

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Identification and control of a Heat Exchanger

Identification and Control of a Heat Exchanger

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2021 International Symposium of Asian control Association on Intelligent Robotics and Industrial Automation, IRIA 2021

作者： Hanif, Omar Deshpande, Nihar G. Chatterjee, Medha The University of Sheffield Dept. of Automatic Control and Systems Engineering Sheffield United Kingdom Manchester United Kingdom Manchester United Kingdom

ISBN: (纸本)9781665433235

Heat exchangers are utilized in various industrial applications such as power generation, petroleum refinery, coal plants, etc. It is essential to model and control these applications to meet the desired outputs. This paper takes the experimental values of the heat exchanger, uses system identification techniques to model it, and then develops control schemes to control the same. Initially, conventional feedback control is developed. A feedforward algorithm is then added to regulate the external disturbances. Subsequently, the advanced control algorithms such as Internal Model control and Linear Quadratic Gaussian are implemented. The control starts from developing a simple Feedback control, then adding a feedforward controller to regulate the external disturbances and then advancing to Internal Model control and finally a Linear Quadratic Gaussian control. The responses, namely: servo responses (reference tracking), regulatory responses (input and output rejections), noise rejection responses, robust responses, and sudden step test responses, are compared for all the mentioned control schemes. Finally, the paper compares the four algorithms and gives an insight into each of their characteristics. © 2021 IEEE.

关键词： Feedback control

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Integration of a multi-rate electron density profile observer in the plasma control system of TCV 49

Integration of a multi-rate electron density profile observe...

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49th EPS Conference on Plasma Physics, EPS 2023

作者： Pastore, F. Felici, F. Sauter, O. Bosman, T.O.S.J. Galperti, C. Vincent, B. Pau, A. Poels, Y. Ravensbergen, T. Vu, N.M.T. Lausanne Switzerland DIFFER - Dutch Institute for Fundamental Energy Research Energy Systems and Control Group Eindhoven Netherlands Eindhoven University of Technology Dept. of Mechanical Engineering Control Systems Technology Group Eindhoven Netherlands Eindhoven University of Technology Dept. of Mathematics and Computer Science Data Mining Group Eindhoven Netherlands ITER Organization Route de Vinon-sur-Verdon St. Paul Lez Durance13067 Cedex France

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Low power implementation of Geometric High-order Decorrelation-based Source Separation on an FPGA board

Low power implementation of Geometric High-order Decorrelati...

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IEEE Cool Chips

作者： Ziquan Qin Kaijie Wei Hideharu Amano Kazuhiro Nakadai Dept. of Information and Computer Science Keio University Yokohama Japan Dept. of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan

Open source software for robot audition called HARK aims to make “OpenCV” in audio signal processing, providing comprehensive functions from multichannel audio input to sound localization, sound source separation, and au-tomatic speech recognition. Since each of these HARK modules takes considerable energy when executed on PC, we propose to implement each module on an FPGA board called M-KUBOS connected. Here, we focus on the most computationally expensive function of HARK; the sound source separation, and implement it on a Zynq Ultrascale+ board. More than twice a performance improvement was achieved by using the sound frequency level parallelization in the HLS description compared to the software execution on the Ryzen 3990X64-core server. Power evaluation of the real board showed that the energy consumption is only 1/23.4 of the server.

关键词： Location awareness Energy consumption Source separation Power demand Speech recognition Parallel processing Servers

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Computationally Efficient Predictive control Based on ANN State-Space Models

Computationally Efficient Predictive Control Based on ANN St...

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IEEE Conference on Decision and control

作者： Jan H. Hoekstra Bence Cseppento Gerben I. Beintema Maarten Schoukens Zsolt Kollár Roland Tóth Dept. of Electrical Engineering at the Eindhoven Control Systems group University of Technology The Netherlands Dept. of Measurement and Information Systems Budapest University of Technology and Economics Hungary Institute for Computer Science and Control Budapest Hungary

Artificial neural networks (ANN) have been shown to be flexible and effective function estimators for the identification of nonlinear state-space models. However, if the resulting models are used directly for nonlinear model predictive control (NMPC), the resulting nonlinear optimization problem is often overly complex due to the size of the network, requires the use of high-order observers to track the states of the ANN model, and the overall control scheme does not exploit the available autograd tools for these models. In this paper, we propose an efficient approach to auto-convert ANN statespace models to linear parameter-varying (LPV) form and solve predictive control problems by successive solutions of linear model predictive problems, corresponding to quadratic programs (QPs). Furthermore, we show how existing deep-learning methods, such as SUBNET that uses a state encoder, enable efficient implementation of MPCs on identified ANN models. Performance of the proposed approach is demonstrated by a simulation study on an unbalanced disc system.

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Lightweight Direct Memory Access on FPGA Using AXI Protocol

Lightweight Direct Memory Access on FPGA Using AXI Protocol

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computer Science, computer engineering, & Applied Computing (CSCE), Congress in

作者： Adam Kidwell Matthew P. Horvath Darrin Hanna Bryant Jones Dept. of Electrical and Computer Engineering Oakland University Rochester Hills MI Intrepid Control Systems Troy MI

This paper presents a lightweight AXI DMA controller architecture useful for embedded systems that do not require fully featured DMA controllers. Simulation is accomplished with VUnit, and implementation results are obtained on a Xilinx XC7Z010CLG400-1 FPGA. When compared with Xilinx's AXI DMA controller with the same configuration, the presented controller utilizes between 16 and 82% fewer resources with comparable speed.

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