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2009 10th European control Conference, ECC 2009

作者： Csercsik, David Szederkenyi, Gabor Hangos, Katalin M. Farkas, Imre Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary Department of Endocrine Neurobiology Institute of Experimental Medicine HAS Budapest Hungary

ISBN: (纸本)9783952417393

GnRH neurons are key elements of the reproductive neuroendocrine system and play important central regulating role in the dynamics of the hormonal cycle. A conductance-based Hodgkin-Huxley model structure is proposed in this paper in the form of nonlinear ordinary differential equations that is able to take into account up-to-date biological literature data related to ion channels. Measurement data were available for parameter estimation, which are originated from laboratory experiments done in the institute of Experimental Medicine of the Hungarian Academy of Sciences in the form of whole cell patch-clamp recordings. The proposed neuron model is highly nonlinear in parameters and the evaluation of the objective function is computationally expensive, therefore the asynchronous parallel pattern search (APPS) procedure has been used for identification which is a gradient-free optimization method that can handle linear equality and inequality constraints and has advantageous convergence properties. The model with high number of estimated parameters provides a qualitatively good fit of both voltage clamp and current clamp traces. © 2009 EUCA.

关键词： Parameter estimation

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THD reduction with grid synchronized inverter's power injection of renewable sources

THD reduction with grid synchronized inverter's power inject...

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2010 International Symposium on Power Electronics, Electrical Drives, automation and Motion, SPEEDAM 2010

作者： Gorbe, Peter Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia 8200 Veszprém Hungary Process Control Research Group Computer and Automation Research Institute 1518 Budapest Hungary

ISBN: (纸本)9781424449873

A control method for small domestic power plants using renewable energy is described in this paper. This method is not only capable of optimizing the working point of the plant but also implements active power factor correction and lowers the extant harmonic distortion in the line. The novel element in the proposed complex controller structure is the upper harmonic controller that minimizes the amplitudes of the 3rd, 5th 7th, 9th, and the 11th upper harmonic component in the output voltage. The proposed controller has been investigated by simulation in Matlab environment, and as a result, substantial improvement of the output voltage and current waveform could be achieved. Robustness of the method against nonlinear loads has also been tested. 0 © 2010 IEEE.

关键词： Solar power generation

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Linear and nonlinear control of musculoskeletal systems

Linear and nonlinear control of musculoskeletal systems

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25th IASTED International Conference on Modelling, Identification, and control, MIC 2006

作者： Fazekas, Csaba Szederkényi, G. Hangos, K.M. Process Control Research Group Computer and Automation Research Institute HAS P.O. Box 63 H-1518 Budapest Hungary

ISBN: (纸本)0889865515

The methods of nonlinear systems and control theory were applied to a simple musculoskeletal system with one joint and two muscles in this paper. For this purpose, a nonlinear input-affine state-space model has been developed for this system with a flexor and an extensor muscle taking into account the nonlinear muscle and movement dynamics. Two types of controllers were designed: a linear pole-placement servo designed for the locally linearized model, and a nonlinear controller based on asymptotic output tracking method. It is expected and forward that during a movement with a large range of motion the nonlinearities of the system will be dominant and the nonlinear methods will outperform the linear ones. The output reference tracking properties of the controllers have been investigated by simulation and it has been found that the nonlinear controller gives more accurate tracking with no overshoots than the linear one.

关键词： Muscle

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Hyperbolic geometrical approach to model reduction

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IFAC-PapersOnLine 2017年第1期50卷 12905-12910页

作者： Soumelidis, Alexandros Bokor, József Schipp, Ferenc Szabó, Zoltán Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Hungary Department of Numerical Analysis Eötvös Loránd University Budapest Hungary

Model reduction of large scale systems is an actively researched area of modelling and control. The problem is more involved if uncertainties are also present and a computational tractable nominal model is needed for the design. Based on results of the Kolmogorov n-width theory the paper provides useful bounds for the worst case approximation error - both H2and H∞– in terms of the hyperbolic distance related to the sets of uncertain poles. A related model reduction strategy that uses only this a priori pole information is also proposed. The method is illustrated through numerical examples. © 2017

关键词： Numerical methods Computation theory Frequency domain analysis Large scale systems Poles Approximation errors Frequency domain identification Geometrical approaches Hyperbolic distances Identification for control Model reduction strategies Modelling and controls Nonparametric methods

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Multiple Fault-Tolerant In-Wheel Vehicle control Based on High-level control Reconfiguration

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IFAC-PapersOnLine 2017年第1期50卷 8606-8611页

作者： Mihály A. Gáspár P. Németh B. Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary

The paper deals with the fault-tolerant reconfigurable control design of a four-wheel independently-actuated (4WIA) electric vehicle. The purpose of the proposed method is to ensure the velocity and path tracking of the 4WIA vehicle in the event of a fault or performance degradation in one or even several in-wheel electric motors. The novelty of the presented method is the high-level control reallocation method based on the Linear Parameter Varying (LPV) control framework, by which the torque vectoring and steering of the vehicle are modified in order to deal with the impact of faulty in-wheel motors. The operation of the designed fault-tolerant method is validated in CarSim simulation environment. © 2017

关键词： 4WIA vehicle in-wheel vehicle reconfigurable control trajectory tracking

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Implementation of a robust cruise control using look-ahead method

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IFAC-PapersOnLine 2016年第11期49卷 505-510页

作者： Gáspár, Péter Németh, Balázs Basset, Michel Orjuela, Rodolfo Institute for Computer Science and Control Hungarian Academy of Sciences MTA-BME Control Engineering Research Group Budapest Hungary Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Laboratory Université de Haute-Alsace Mulhouse Cedex France

The paper proposes the implementation of a robust cruise control system which is able to ensure the fuel-efficient travel of the vehicle with a look-ahead control algorithm. The H∞-based feedforward-feedback control method guarantees robustness against varying vehicle mass, longitudinal disturbances and the consideration of actuator dynamics. The advantage of the method is the application of a small number of vehicle parameters. Therefore, a method for various passenger cars without significant modifications is needed. The proposed cruise control and the look-ahead method are implemented in a software-in-the-loop (SIL) environment using DSpace Autobox, which cooperates with the high-fidelity CarSim software through CAN communication. © 2016

关键词： Cruise control Application programs computer control Numerical control systems Robust control Vehicles CAN communications Feedforward feedback control Look ahead control Look ahead methods Number of vehicles Robust control designs Software in the loop(SIL) Software in the loops

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From Parallel Plants to Smart Plants:Intelligent control and Management for Plant Growth

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 161-166页

作者： Mengzhen Kang Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences (SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of automation.

关键词： Agriculture Artificial intelligence Decision support systems Expert systems Sustainable development

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Globally stabilizing state feedback control design for Lotka-Volterra systems based on underlying linear dynamics

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IFAC-PapersOnLine 2015年第11 11期48卷 1000-1005页

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Egyetem street 10. Veszprém H-8200 Hungary Process Control Research Group Control and Automation Research Institute HAS Kende street 13-17 BudapestH-1111 Hungary

Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium point. This enables to use a linear full state feedback controller to stabilize the system in controllable cases, that leaves the open loop equilibrium point unchanged. The linear state feedback controller design problem in the general case has also been formulated to ensure the compartmental property of the closed loop system from which the existence of a diagonal Lyapunov function follows. Further extension has been obtained by using the time re-parametrization transformation defined for quasi-polynomial models. © 2015

关键词： Mathematical transformations Biological systems Closed loop systems controllers Feedback control Linear transformations Lyapunov functions Phase space methods Polynomial approximation Predator prey systems State feedback Diagonal Lyapunov functions Linear state feedback Lotka Volterra models Lotka Volterra systems Nonlinear variables Phase space transformation Positive equilibrium Quasi poly nomial

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Robust Reconfgurable control for In-wheel Electric Vehicles

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IFAC-PapersOnLine 2015年第21期48卷 36-41页

作者： Gaspar, Péter Bokor, József Mihály, András Szabó, Zoltán Fülep, Timea Szauter, Ferenc Institute for Computer Science and Control Hungarian Academy of Sciences and MTA-BME Control Engineering Research Group Budapest Hungary Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Research Center of Vehicle Industry Széchenyi István University Gyôr Hungary

The paper presents a fault tolerant reconfgurable control method for vehicles driven by four in-wheel electric motors and a steering system. The aim of the design is to realize robust velocity and road trajectory tracking even under challenging driving conditions or actuator failures. The vehicle is operated solely with the in-wheel motors, thus steering intervention is only applied in case of skidding or a failure of an electric motor. The reconfgurable control is realized based on Linear Parameter Varying (LPV) framework, using the specifc characteristics of the in-wheel motors of fast and accurate torque control. The operation of the designed control system is demonstrated in a CarSim simulation environment. © 2015

关键词： Robust control

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Unobtrusive and Non-Invasive Human Activity Recognition using Kinect Sensor 2

Unobtrusive and Non-Invasive Human Activity Recognition usin...

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Indo - Taiwan 2nd International Conference on Computing, Analytics and Networks, Indo-Taiwan ICAN 2020

作者： Nehra, Shalini Raheja, Jagdish Lal Control Automation Group Cyber Physical System Area CSIR-Central Electronics Engineering Research Institute Pilani India

ISBN: (纸本)9781728149998

The main objective of this paper is to present a depth imaging human activity recognition system that is basically used to monitor and detect normal activities of the person in the indoor environment. The Proposed system runs in real-time and is capable of detecting moving falls, sitting fall accurately and robustly without taking into account any false positive activities. Human activity recognition with high accuracy is a huge challenge in the research world. Fall detection is an important technology in health care and elderly person activity monitoring. The proposed method is feasibility and workability are illustrated throughout the experimental result that shows the perfect human tracking and activity detection. System works well with low lighting conditions;lighting does not affect the accuracy of detecting activities. Moreover, the proposed method is able to avoid false positive as: lying down, retrieve something from the floor. © 2020 IEEE.

关键词： Feature extraction

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