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International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Andra Silviana Hegedus Cosmin Copot Amélie Chevalier Ioan Nascu Robin De Keyser Department of Electrical Energy Systems and Automation Ghent University Gent-Zwijnaarde Belgium Department of Automation Faculty of Automation and Computer Science Cluj-Napoca Romania

This paper explores how two scientific experiments in control engineering can be performed remotely over the Internet: (1) Ball and Plate system; and (2) Water Tank system. The main objective is offering students insights about identification of real processes and auto-tuning techniques. At Ghent University real-time remote access laboratories, which allow students to implement, compile and run controllers remotely from home, have been developed. Students can watch the experiment in real time and effectively use the laboratories full functionality through Virtual Private Network (VPN) connection across the Internet.

关键词： Servers Remote laboratories MATLAB Storage tanks Cameras Java

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Rate control and flight stabilization for a quadrotor system

Rate control and flight stabilization for a quadrotor system

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International Conference on Unmanned Aircraft systems (ICUAS)

作者： Benjamin Jahn Alexander Barth Kai Wulff Tobias Simon Jan Römisch Control Engineering Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany Integrated Communication Systems Group Computer Science and Automation Faculty Ilmenau University of Technology Ilmenau Germany

In this paper we propose a stability augmentation system for a quadrotor, enabling direct rate control for a human pilot. Our system includes feedforward for rate control, feedback for disturbance attenuation, and an online optimization technique for handling input restrictions. We show that the proposed algorithms are able to stabilize the system under highly challenging flight conditions, such as wind gusts and fast manual descend. Our input restriction technique ensures that the revolution speeds for the desired torques are feasible. The complete control system is analyzed using MATLAB, and full experimental validation is provided based on a quadrotor prototype.

关键词： Mathematical model Torque Actuators Angular velocity Equations Feedforward neural networks Stability analysis

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Dynamic Models Adaptation for a 4 Inj - 2PP Common-rail Pressure System

Dynamic Models Adaptation for a 4 Inj - 2PP Common-rail Pres...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Gelu Laurentiu Ioanas Toma-Leonida Dragomir Continental Automotive Timisoara Powertrain Engine Systems "Politehnica" University of Timisoara Faculty of Automation and Computer Science

ISBN: (纸本)9781479902255

The paper is focused on discussing the capability of a NeuroFuzzy, nonlinear predicting structure, with Local Linear Models (LLM) designed for fuel pressure estimation in diesel common-rail (CR) system. Nonlinear dynamic systems like CR are not so easy to model and engineers have often struggled to find the best solution to approximate the input-output dependencies. NeuroFuzzy networks, combined with LLM, are powerful tools for splitting an input space into smaller pieces where the linear approximations are considered satisfactory. Using appropriate numerical models, these architectures can be implemented in a real-time environment with a moderate effort but a new challenge arises: real time adapting of the linear models parameters. The paper illustrates that the LLMs, and hence, the whole dynamic models parameters of the CR's NeuroFuzzy developed architecture, can be adapted for a wide working space. The practicalfinal results are favorable. The solution may result in lower emissions with favorable economic and environmental implications.

关键词： Local linear Adaptive Neuro-Fuzzy Common-rail Pressure System model Self tuning Pressure systems modelling dynamic models Pressure systems ARCHITECTURE LOW EMISSION Building construction model parameters linear models fuel pressure chromium Engineers

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Local Linear Models adaptation for a 4 Inj — 2PP common-rail pressure system

Local Linear Models adaptation for a 4 Inj — 2PP common-rai...

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International Symposium on Intelligent systems and Informatics (SISY)

作者： Gelu Laurenţiu Ioanaş Toma Leonida Dragomir Continental Automotive Timisoara Powertrain Engine Systems Romania Faculty of Automation and Computer Science “Politehnica” University of Timisoara Romania

The implementation of a Neuro-Fuzzy nonlinear adaptive structure, with Local Linear Models (LLM), designed for fuel pressure estimation in diesel common-rail (CR) hydraulic system, represents the main topic. Hydraulic systems, in general, are nonlinear and engineers have often struggled to find the best solution to approximate the input-output dependencies. Powerful tools are necessary for splitting the input space in smaller pieces where linear approximations can be considered satisfactory. Neuro-Fuzzy networks, combined with LLM represent the best solution in this case. Using appropriate numerical models, these architectures can be implemented in a real-time environment designed for on-line adaptation of the linear models parameters. The paper demonstrates that the LLMs, and hence, the whole dynamic models parameters of the CR's NeuroFuzzy developed architecture, can be adapted in an on-line environment. The practical results are favorable.

关键词： Adaptation models Fuels Mathematical model Predictive models Rails Computational modeling computer architecture

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Common-rail pressure estimation using a Neuro-Fuzzy architecture with local Hammerstein models

Common-rail pressure estimation using a Neuro-Fuzzy architec...

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International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Gelu Laurenţiu Ioanaş Toma Leonida Dragomir Continental Automotive Timisoara Powertrain Engine Systems Romania Faculty of Automation and Computer Science Politehnica University of Timisoara Romania

Hydraulic processes with turbulent flow are usually highly nonlinear and common rail (CR) systems make no exception. Since the performances of diesel CR engines are directly dependent on the rail pressure, and on its values used in control, a prediction model which can lead to better performances is presented. The prediction makes use of Hammerstein dynamic models integrated into a multilevel Neuro-Fuzzy structure. The process input space decomposition is performed axis orthogonal for a large region using Local Linear Model Tree (LOLIMOT) algorithm and the local dynamic models parameters are adapted using recursive last squares method. The practical final results are favorable.

关键词： Fuels Rails Mathematical model Predictive models Engines Adaptation models Estimation

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Refinement of Localization Results in Wireless Networks Using Weighted Universal Improvement Schemes

Refinement of Localization Results in Wireless Networks Usin...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

作者： Oleksandr Artemenko Andreas Mitschele-Thiel Mykola Kuznietsov Faculty of Computer Science and Automation Technische Universit?t Ilmenau 98693 Ilmenau Germany Institute of Computer Systems Odessa National Polytechnic University 65044 Odessa Ukraine

ISBN: (纸本)9781467362337

In this paper, we present an extension of our concept of the Universal Improvement Scheme (UnIS) investigated in our previous work. The main focus of UnIS is to improve the localization results of unknown wireless nodes, aka mobiles, in the network with prepositioned reference nodes, aka anchors. The UnIS algorithm uses some additional information known a priori about the network. This information is represented by distances, known before the experiment, between couples of mobile nodes being localized. In this work, the optimization of the UnIS algorithm is proposed. According to our previous observations, we introduce a novel weighted UnIS (W-UnIS) approach that uses different weighting criteria to achieve a higher improvement ratio. We compare the effectiveness of W-UnIS scheme to its predecessor using the data collected in a deployed wireless sensor network testbed. The obtained results indicate that the localization error can be reduced significantly using our new W-UnIS approach.

关键词： Refinement Localization Results UnIS

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Exponential stability of boundary controlled port Hamiltonian systems with dynamic feedback

Exponential stability of boundary controlled port Hamiltonia...

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1st IFAC Workshop on Control of systems Governed by Partial Differential Equations, CPDE 2013

作者： Ramirez, Hector Zwart, Hans Le Gorrec, Yann Department of Automation and Micro-Mechatronic Systems FEMTO-ST UMR CNRS 6174 ENSMM 26 chemin de l'épitaphe F-25030 Besançon France University of Twente Faculty of Electrical Engineering Mathematics and Computer Science Department of Applied Mathematics P.O. Box 217 7500 AE Enschede Netherlands

ISBN: (纸本)9783902823540

In this paper it is shown that an input strictly passive linear finite dimensional port-Hamiltonian controller exponentially stabilizes a large class of boundary control systems. This follows since the finite dimensional controller dissipates the energy flowing through the boundaries of the infinite dimensional system. The assumptions on the controller is that it is input strictly passive and that it is exponentially stable. The result is illustrated on the model of a boundary controlled DNA-manipulation process. © IFAC.

关键词： Controllers

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Nonlinear analysis of dynamical complex networks 2014

Abstract and Applied Analysis

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Abstract and Applied Analysis 2014年第1期2014卷

作者： Wang, Zidong Shen, Bo Dong, Hongli Hu, Jun He, Xiao Ding, Derui Department of Computer Science Brunel University Uxbridge Middlesex UB8 3PH United Kingdom Communication Systems and Networks (CSN) Research Group Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia School of Information Science and Technology Donghua University Shanghai 200051 China College of Electrical and Information Engineering Northeast Petroleum University Daqing 163318 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Applied Mathematics Harbin University of Science and Technology Harbin 150080 China Department of Automation Tsinghua University Beijing 100084 China Department of Applied Mathematics Anhui Polytechnic University Wuhu 241000 China

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Performance analysis of MILP based model predictive control algorithms for dynamic railway scheduling

Performance analysis of MILP based model predictive control ...

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European Control Conference (ECC)

作者： János Rudan Bart Kersbergen Ton van den Boom Katalin Hangos Faculty of Information Technology Pázmány Péter Catholic University Delft Center for Systems and Control Delft University of Technology Computer and Automation Research Institute Hungarian Academy of Sciences

ISBN: (纸本)9781479901890

In this paper we analyse the performance of solvers for Mixed Integer Linear Programming (MILP) problems that appear from the model predictive control of railway networks. Our aim is to study techniques that reduce the amount of delay using dynamic traffic management by the rescheduling of trains. Due to the size of the emerging MILP problem and the given constraints on solution time, a thorough analysis of different MILP solution techniques was necessary. It has been proven that a significant speedup in the solution time can be achieved by the proper restructuring of the matrices of the MILP problem. The simulation results also confirm the effectiveness of the proposed control technique and the ability of this setup to analyse the most delay-sensitive trains in the network.

关键词： Delays Rail transportation Schedules Time factors Vectors Simulation Predictive control

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Hardware-based parallel firefly algorithm for embedded applications

Hardware-based parallel firefly algorithm for embedded appli...

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2013 NASA/ESA Conference on Adaptive Hardware and systems, AHS 2013

作者： Muñoz, Daniel M. Llanos, Carlos H. Dos Santos Coelho, Leandro Ayala-Rincón, Mauricio Electronics Engineering Graduate Program Faculty of Gama University of Brasilia Brasilia DF Brazil Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Departments of Computer Science and Mathematics University of Brasilia Brasilia DF Brazil

ISBN: (纸本)9781467363839

The firefly algorithm (FA) is a new population-based metaheuristic bioinspired on the behavior of the flashing characteristics of fireflies. As a population-based algorithm, the FA suffers from large execution times specifically for embedded optimization problems with computational limitations. For reducing execution times we propose a hardware parallel architecture of the FA algorithm that facilitates the implementation in Field Programmable Gate Arrays (FPGAs). In addition, this work proposes the application of the opposition-based learning (OBL) approach to the FA algorithm. The respective hardware implementation (HPOFA) was mapped into a Virtex5 FPGA device and numerical experiments using four well-known benchmark problems demonstrate that the opposition-based approach allows the FA algorithm to improve its functionality, preserving the swarm diversity and avoiding the premature convergence problem. Synthesis results point out that the HPOFA architecture is effectively mapped in hardware and is suitable for embedded applications. © 2013 IEEE.

关键词： Parallel architectures

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