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Identification of FIR systems with Quantized Inputs and Observations

IFAC-PapersOnLine 2015年第28期48卷 674-679页

作者： Guo, Jin Wang, Le Yi Yin, George Zhao, Yanlong Zhang, Ji-Feng School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Department of Electrical and Computer Engineering Wayne State University DetroitMI48202 United States Department of Mathematics Wayne State University DetroitMI48202 United States Key Laboratory of Systems and Control Institute of Systems Science Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China

This paper introduces identification algorithms for finite impulse response systems under quantized output observations and general quantized inputs. While asymptotically efficient algorithms for quantized identification under periodic inputs are available, their counterpart under general inputs has encountered technical difficulties and evaded satisfactory resolutions. Under quantized inputs, this paper resolves this issue with constructive solutions. A two-step algorithm is developed, which demonstrates desired convergence properties including strong convergence, mean-square convergence, convergence rates, asymptotic normality, and asymptotical efficiency in terms of the Cramér-Rao lower bound. Some essential conditions on input excitation are derived that ensure identifiability and convergence. It is shown that by a suitable selection of the algorithm's weighting matrix, the estimates become asymptotically efficient. The strong and mean-square convergence rates are explicitly obtained. Optimal input design is discussed. Numerical examples are included to illustrate the main results of this paper © 2015

关键词： FIR filters Efficiency Identification (control systems) Impulse response Asymptotic efficiency Asymptotically efficient Finite impulse response system Identification algorithms Input design Mean square convergences non periodic input quantization

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Communication scheduling in robust self-triggered MPC for linear discrete-time systems 5

Communication scheduling in robust self-triggered MPC for li...

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5th IFAC Workshop on Distributed Estimation and control in Networked systems, NecSys 2015

作者： Brunner, Florian D. Gommans, T.M.P. Heemels, W.P.M.H. Allgöwer, Prank Institute for Systems Theory and Automatic Control University of Stuttgart Pfaffenwaldring 9 Stuttgart70569 Germany Control System Technology Group Department of Mechanical Engineering Eindhoven University of Technology Netherlands

We consider a networked control system consisting of a physical plant, an actuator, a sensor, and a controller that is connected to the actuator and sensor via a communication network. The plant is described by a linear discrete-time system subject to additive disturbances. In order to reduce the required number of communications in the system, we propose a robust self-triggered model predictive controller based on rollout techniques that robustly asymptotically stabilizes a certain periodic sequence of sets in the state space while guaranteeing robust satisfaction of hard state and input constraints. At periodically occurring scheduling times, the self-triggered model predictive control algorithm determines the times at which the control input and plant measurement are updated in the time span until the next scheduling time. We establish a certain upper bound on the average sampling rate in the closed-loop system. Moreover, we show how increasing the asymptotic bound on the system state, which is a design parameter in the control scheme, can be used to further reduce the average number of communications in the system. © 2015, IF AC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Closed loop systems

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control processes of floating docks based on SCADA systems with wireless data transmission

Control processes of floating docks based on SCADA systems w...

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International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Andriy Topalov Oleksiy Kozlov Yuriy Kondratenko Computerized Control Systems Department Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine Department of Electrical Engineering and Computer Science Cleveland State University Cleveland Ohio USA Petro Mohyla Black Sea State University Mykolaiv Ukraine

ISBN: (纸本)9781509014149

In this paper the approach of automation of control processes of floating docks parameters on the basis of SCADA systems with wireless data transmission is presented. The hierarchical structure of SCADA system for floating docks docking operations, which has the decentralized information processing as well as individual software and hardware components, is given. The specialized human-machine interface for visual display of functioning of the floating docks docking operations SCADA system is designed. The efficiency of the proposed SCADA system is tested on the developed experimental stand.

关键词： SCADA systems Electronic ballasts Marine vehicles Wireless communication Man-machine systems Valves Liquids

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Asymmetric multilevel topology for photovoltaic energy injection to microgrids

Asymmetric multilevel topology for photovoltaic energy injec...

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IEEE Workshop on Computers in Power Electronics

作者： Javier Muñoz Patricio Gaisse Carlos Baier Marco Rivera Raúl Gregor Pericle Zanchetta Department of Industrial Technologies Universidad de Talca Talca CHILE Lab. of Power and Control Systems Universidad Nacional de Asunción Luque CP Paraguay Department of Electrical and Electronic Engineering University of Nottingham U.K.

The massive penetration of renewable energy sources in the utility grid has emerged as the solution to obtain clean energy in modern electric systems, which are gradually replacing their generators that produce CO 2 emissions to achieve a sustainable growing. Power electronics is quite relevant in the deep penetration of renewable energy, because the use of such equipment is mandatory to integrate these new resources with the existing facilities. In order to reach higher power ranges, multilevel topologies are the state-of-the-art solution, due to the limited rating of the actual semiconductor devices. Furthermore, latest trends show that asymmetric multilevel configurations are an attractive technology to connect directly the power converters to the grid. This paper analyze the photovoltaic energy injection to microgrids using a hybrid approach that mixes the existing topologies: string, multistring and central inverter to implement an asymmetric structure that generate highly sinusoidal resulting waveforms. This document includes a simple analysis of the proposed configuration and highlights the advantages of using an asymmetric converter, supported with stationary and dynamic simulated results.

关键词： Topology Inverters Microgrids Mathematical model Modulation Maximum power point trackers Voltage control

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DC electrical drive control with fuzzy systems 13

DC electrical drive control with fuzzy systems

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2015 13th International Conference on engineering of Modern Electric systems, EMES 2015

作者： Bara, A. Dale, S. Rusu, C. Silaghi, H. Control Systems Engineering Department University of Oradea Oradea Romania Electrical Machines and Drives Department Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479976508

This paper presents a solution to the problem of principle DC electric drives powered by static converters, at low speed and load torques. Maintaining control performance for a broad range of speed variation involves adjustment of system parameters depending on operating conditions. It is designed an adaptive algorithm based on fuzzy logic to meet these challenges. Finally, some simulation results with adaptive fuzzy engine are presented. © 2015 IEEE.

关键词： Fuzzy logic

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Virtual instrument of harmonics detection based on neural network adaptive filters

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Telkomnika (Telecommunication Computing Electronics and control) 2015年第2期13卷 556-562页

作者： Zheng, Xianfeng Fan, Zheng Department of Electrical Engineering Henan Mechanical and Electrical Engineering College Henan China Department of Automatic Control Engineering Henan Mechanical and Electrical Engineering College Henan China

This study investigated the adaptive detection principle based on a single artificial neuron, and constructed a method for detecting harmonics using the artificial neural network technique. Based on the established method, and by comprehensively processing the obtained harmonics data using the LabVIEW software-developing environment of the virtual instrument, the harmonic waves were detected and analyzed. Finally, the analysis of current ball crusher harmonics verified that the designed system was effective.

关键词： Neural networks

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Fuzzy logic based controller for a single-link flexible manipulator using modified invasive weed optimization

Fuzzy logic based controller for a single-link flexible mani...

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IEEE International Conference on Evolving and Adaptive Intelligent systems

作者： Hyreil A. Kasdirin M. Assemgul M. O. Tokhi Department of Automatic Control and Systems Engineering The University of Sheffield

ISBN: (纸本)9781467366991

This paper presents development of a fuzzy logic control (FLC) system with bio-inspired optimization algorithm for reference tracking control of a single-link flexible manipulator. In the proposed controller, a modified invasive weed optimization (MIWO) algorithm is employed to optimize the tuning parameters of fuzzy logic controller. Invasive weed optimization (IWO) is a bio-inspired search algorithm that mimics how weeds colonize a certain area in nature. Although the IWO algorithm is good at exploring a certain search space, it is found less effective in getting accurate results. The algorithm is modified by applying local knowledge in the standard deviation of its reproduction of offspring in each generation to narrow the accuracy and improve the local search ability. The MIWO algorithm is tested with five benchmark functions and the result are compared with those of the original invasive weed optimization algorithm. The original IWO and MIWO are used as parameter tuners for the developed FLC mechanism to evaluate the effectiveness of the modified algorithm. The performances of the tuned controllers based on MIWO and IWO are evaluated based on the hub-able output of the flexible manipulator system. The overall results show that the proposed MIWO algorithm gives better performance in comparison to its original predecessor algorithm.

关键词： Invasive weed optimization Fuzzy logic control Flexible manipulator

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Measurement method for the acoustic evaluation of benefits from innovative dispatch towing technologies at Frankfurt Airport 44

Measurement method for the acoustic evaluation of benefits f...

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44th International Congress and Exposition on Noise control engineering, INTER-NOISE 2015

作者： Hein, Katja Baumann, Sebastian Department of Mechanical Engineering Institute of Flight Systems and Automatic Control Technische Universität Darmstadt Otto-Berndt-Strasse 2 Darmstadt Hesse64287 Germany

New dispatch towing technologies, in particular the pilot-controlled, robotic tractor called TaxiBot, which was first tested at Frankfurt Airport, promise to reduce noise, pollution, and fuel consumption during the taxi-out process of an aircraft. To quantify noise reduction of dispatch-towed aircraft, comparisons with present taxiing and towing operations are needed. For this purpose no standard measurement procedure exists. To derive a practical approach, comparable standards, e.g. for road vehicles, were identified and adapted to given frame conditions and requirements at an airport. On this basis an objective acoustic measurement method was developed facilitating the comparison of different pass-by configurations for aircraft, tractors, and combinations thereof. Furthermore, the measurement method enables an acoustic evaluation between the TaxiBot and conventional tractors while standing with engines running. In addition, requirements for technical equipment and environmental conditions to perform sound measurements at an airport are specified. The approach aims to obtain comparable and reliable measurement results. This, in turn, leads to the creation of a database to assess noise due to aircraft taxi operations and serves as a foundation for noise simulation, calculation, and prediction. The proposed method can establish a new standard for acoustic measurements at airports. © 2015 by ASME.

关键词： Airports

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Hybridizing firefly algorithm with invasive weed optimization for engineering design problems

Hybridizing firefly algorithm with invasive weed optimizatio...

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IEEE International Conference on Evolving and Adaptive Intelligent systems

作者： Hyreil A. Kasdirin N. M. Yahya M. O. Tokhi Department of Automatic Control and Systems Engineering The University of Sheffield

ISBN: (纸本)9781467366991

This study presents a hybrid invasive weed firefly optimization (HIWFO) algorithm to solve engineering optimization design problems. The unconstrained and engineering constrained design problems with continuous design variables are used to illustrate the effectiveness and robustness of the proposed algorithm. Firefly algorithm (FA) has deficit on getting trapped at local optimum and invasive weed optimization (IWO) is effective with accurate global search ability. Therefore, the idea of hybridization between IWO and FA has obtained a more robust optimization technique, especially trying to compensate for the deficiencies of the individual algorithms. In the proposed algorithm, the firefly method is embedded into the invasive weed optimization to enhance the local search capability of IWO algorithm that already has very good exploration capability. The performance and evaluation of the proposed method are tested with four well-known unconstrained problems and two engineering design problems. A comparative assessment with the original FA and IWO carried out on the unconstrained problem clearly demonstrates the effectiveness of the hybrid algorithm. Moreover, in dealing with the practical design problems, the HIWFO algorithm is also compared to other algorithm methods to illustrate its effectiveness. From the simulation results, it can be concluded that the HIWFO algorithm has superior searching quality and robustness than other mentioned approaches.

关键词： Hybrid algorithm Invasive weed optimization Firefly algorithm engineering design problem

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