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作者： Colina, A. Lerma, G. Cabanes, I. Iglesias, I. Department of Automatic Control and System Engineering University of the Basque Country Spain Industry and Transport Division Vehicle Dynamics Group Tecnalia Research and Innovation Spain

ISBN: (纸本)9789400774841

The suspension system is composed of several deformable elements such as springs and dampers, which connect the car body to wheels and absorb vibrations generated by road irregularities. The main purpose of suspension system is to isolate the vehicle body from disturbances in order to keep wheels in contact with the road surface to contribute to road holding, and in order to maximize passenger ride comfort. This paper describes a semi-active suspension system of 2 degrees of freedom (2DOF), typically referred to as a quarter car model. To design a suspension control system that improve ride comfort, dynamic modelling of semi-active suspension was developed. control strategies were implemented for these semi-active suspension systems using MATLAB® and Simulink® software. The results show that the semi-active suspension system controlled by a logical strategy minimizes vertical acceleration experienced by passengers, compared to passive suspension system. © Springer Science+Business Media Dordrecht 2014.

关键词： Wheels

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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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Quadriceps muscle models using fuzzy logic and ANFIS

Quadriceps muscle models using fuzzy logic and ANFIS

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2013 IEEE 3rd International Conference on system engineering and Technology, ICSET 2013

作者： Salleh, S.M. Jailani, R. Tokhi, M.O. Neuromuscular Rehabilitation Research Group Faculty of Electrical Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia Department of Automatic Control and System Engineering University of Sheffied United Kingdom

ISBN: (纸本)9781479910304

This paper presents a development of quadriceps muscle models using ANFIS and Fuzzy Logic based on Functional Electrical Stimulation (FES). The models inputs parameter consists of stimulation frequency, pulse width, and sampling time are used to predict quadriceps output torque. The muscle models developed are then validate with the clinical data to evaluate the accuracy of the torque output predicted with the identified parameters. In this study, Fuzzy Logic muscle model gives better performance representing quadriceps muscle model. © 2013 IEEE.

关键词： Computer circuits

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Quadriceps muscle models using fuzzy logic and ANFIS

Quadriceps muscle models using fuzzy logic and ANFIS

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IEEE International Conference on system engineering and Technology

作者： S. M. Salleh R. Jailani M. O. Tokhi Neuromuscular Rehabilitation Research Group Universiti Teknologi MARA Malaysia Shah Alam Selangor Department of Automatic Control and System Engineering University of Sheffied United Kingdom

关键词： Muscles Fuzzy logic Data models Force Mathematical model Biological system modeling Neuromuscular stimulation

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Productiveness and Real Time Prices in energy management for HVAC systems

Productiveness and Real Time Prices in energy management for...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Jose Aguero Francisco Rodriguez Maria del Mar Castilla Mario Pereira University of Almeria Agrifood Campus of International Excellence (ceiA3) Automatic Control Electronics and Robotics Research Group University of Seville. Dpt. of Automation and System Engineering

ISBN: (纸本)9781479902255

As people usually perform their daily activities inside buildings, it is very important to achieve a trade-off between users' comfort and energy costs derived from it. This paper presents two novel concepts within the framework of energy-consumption management: productiveness and utility. Therefore, the main objective of this work is to provide an optimal forecast of the power consumption for an office room, as a function of Real-Time Prices (RTP) and Day-Ahead Pricing (DAP). The use of real time energy prices allows a more efficient management of thermal loads networks. In this work, a comfort control system for an office building is developed based on a new interpretation of the concepts of productiveness and utility, and a prediction of energy prices for the following day. In order to test the performance of the proposed control approach, simulation results obtained in a characteristic room of the CDdI-CIESOL-ARFRISOL building are included and discussed in detail. The preliminary results show an energy consumption saving approximately around 12%.

关键词： High Voltage Alternating Current systems Energy management office occupancy energy consumption Energy costs office buildings Power consumption Prices Buildings Daily Activities COMFORT

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VVAF - Worst case & safety analysis tools for autonomous rendezvous system

VVAF - Worst case & safety analysis tools for autonomous ren...

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AIAA Guidance, Navigation, and control Conference

作者： Paulino, Nuno Di Sotto, Emanuele Salehi, Sohrab Kron, Aymeric Hamel, Jean-François Wang, Wenfei Menon, Prathyush P. Bates, Declan G. Papachristodoulou, Antonis Maier, Christoph GMV Tres Cantos Madrid Spain Rhea System at ESA-ESTEC Noordwijk Netherlands NGC Aerospace Mouans Sartoux France NGC Aerospace Sherbrooke Canada Control and Instrumentation Research Group Department of Engineering University of Leicester Leicester United Kingdom Department of Engineering Science University of Oxford Oxford United Kingdom Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany

ISBN: (纸本)9781600869624

The traditional verification and validation (V&V) process can produce sufficiently safe and reliable systems in the demanding aerospace field. But this comes at great cost and effort, with the necessary simulation of all possible operational conditions for increasingly complex control systems involving substantial autonomy. It is of interest to go beyond the statistical confidence of traditional Monte Carlo methods. New V&V methods need to cope with a large number of mission parameters and mode transitions. They must identify the worst combinations of perturbations, uncertainties and failures. Two classes of frameworks are investigated in the VVAF project: integrated V&V frameworks (IVVF) supported by simulation based analysis techniques, either integrated or with local analysis techniques to establish the global system properties;and enhanced V&V frameworks (EVVF), based on mathematical proof. Two EVVF techniques are explored: Barrier-construction and Reachability-set analysis. These guarantee fulfillment of globally exact safe operation, by the construction of barrier certificates considering nonlinearities, uncertainties and constraints. In addition, two IVVF techniques are developed: Analytical-based (AIVV) and Optimization-based (OIVV). AIVV consists of integrating and embedding frequency domain LFT-based mu-analysis techniques to exclude regions with guaranteed performance and/or identify the most critical areas, within a Monte Carlo simulation based V&V. With as few runs as possible of the non linear time simulator, local analyses can steer the global search towards the worst case. OIVV uses optimization techniques, also linked to the simulator, to identify and characterize the system worst case. Several heuristic techniques are evaluated for global parameters search, which is then refined using local optimization techniques to locate and characterize the worst case. The AIVV can also aid the OIVV by identifying search regions and promising initialization poi

关键词： Monte Carlo methods

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Multi-source signals guiding swarm robots search

Multi-source signals guiding swarm robots search

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22nd International Conference on Industrial, engineering and Other Applications of Applied Intelligent systems, IEA/AIE 2009

作者： Xue, Songdong Zeng, Jianchao Du, Jing Yang, Xiaomei College of Electrical and Information Engineering Lanzhou University of Technology 85 Langongping Lanzhou Gansu 730050 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology 66 Waliu Road Taiyuan Shanxi 030024 China North Automatic Control Technology Institute China North Industries Group Corporation 351 South Sports Road Taiyuan Shanxi 030006 China

ISBN: (纸本)3642025676

Victim search with swarm robots on gas outburst spot in coal mines is investigated. Upon modeling swarm robotic system with extended particle swarm optimization, heterogeneous signals are fused by each robot independently as fitness evaluate. To fuse signals of intermittent sound of call for help, periodic radio frequency waves and continuous gas, concepts of detection-success binary logic and perceptual event are introduced into describing detection process. Based on statistical properties, detectable range, localization type and accuracy, priority is determined with information entropy-based criteria. Then the best-found position is decided in a distributed fashion through election operation. Simulation conducted in closed signal propagation environment indicates the approximate relation between fusion value and distance, i.e., the nearer the robot is far away from target, the higher the fusion of signals. © 2009 Springer Berlin Heidelberg.

关键词： Swarm intelligence

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, control, and Dynamics

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JOURNAL OF GUIDANCE control AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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Drinking water distribution system modelling - An approach to skeletonization

Drinking water distribution system modelling - An approach t...

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1st IFAC Workshop on Applications of Large Scale Industrial systems, ALSIS'06

作者： Duzinkiewicz, K. Ciminski, A. Department of Automatic Control Technical University of Gdansk ul. G. Narutowicza 11/12 80-952 Gdansk Poland Department of Control Engineering Intelligent Decision Support and Control System Group Gdansk University of Technology Narutowicza 11/12 80-952 Gdansk Poland

ISBN: (纸本)9783902661159

An optimisation based approach to simplification of a network model of pressurized drinking water distribution systems (DWDS), called skeletonization, has been proposed. DWDS simulation has been improved considerably during the last decades. There are two major aspects in modelling, monitoring and control of DWDS: quantity (water hydraulics) and quality. In the following paper the modelling of the water hydraulics in DWDS is considered. There is a need to build a simplified model of the drinking water network that preserves relation between flows and pressures in the main pipes and contains elements essentials for control - tanks, pumps, valves or others. The degree of simplification should be a compromise between needed model's accuracy and computational efficiency of the monitoring and control algorithms. Different approaches are proposed for DWDS model simplification. In the proposed method some parts of the network structure remain unchanged and the others are replaced by a simple radial structure. Parameters of the radial structure are calculated by solving dedicated optimisation problem. The simplification results based on the proposed method are illustrated by simulation case study for physical drinking-water distribution system and a comparison with the result obtained based on common sense method are presented. Copyright © 2006 IFAC.

关键词： Computational efficiency

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Adaptive Multimodel Estimation for Synthesis of a Robust Stabilizer Under Imperfect Knowledge of the Plant Delay

Adaptive Multimodel Estimation for Synthesis of a Robust Sta...

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Mediterranean Conference on control and Automation (MED)

作者： S. Alonso-Quesada M. de la Sen A. Ibeas Department of Electricity and Electronics University of Basque Country (UPV-EHU) Leioa Spain System Engineering and Automatic Control Group ETSE Universidad Autónoma de Barcelona Bellaterra Spain

This paper deals with a robustly stable adaptive pole-placement based controller for a class of linear time-invariant time-delay systems with possibly locally unknown point delays under unmodeled dynamics and bounded disturbances. A multi-estimation scheme is used to improve the identification error and also to deal with possibly errors between the true basic delay compared to these used in the regression vectors of the adaptive scheme

关键词： Delay estimation Adaptive control Programmable control Uncertainty Noise robustness Adaptive systems Robust control Robust stability Error correction control systems

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