Academic literature on the topic 'Parameter-driven systems'
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Journal articles on the topic "Parameter-driven systems"
Priyadarshini, Pallavi, Fengqiong Qin, Ee-Peng Lim, and Wee-Keong Ng. "Parameter driven synthetic web database generation." Journal of Systems and Software 69, no. 1-2 (January 2004): 29–42. http://dx.doi.org/10.1016/s0164-1212(03)00002-5.
Full textVerhoek, Chris, Hossam S. Abbas, Roland Tóth, and Sofie Haesaert. "Data-Driven Predictive Control for Linear Parameter-Varying Systems." IFAC-PapersOnLine 54, no. 8 (2021): 101–8. http://dx.doi.org/10.1016/j.ifacol.2021.08.588.
Full textPoulain, Stéphane, Ophélie Arnaud, Sachi Kato, Iris Chen, Hiro Ishida, Piero Carninci, and Charles Plessy. "Machine-driven parameter screen of biochemical reactions." Nucleic Acids Research 48, no. 7 (February 6, 2020): e37-e37. http://dx.doi.org/10.1093/nar/gkaa079.
Full textLuo, Biao, Tingwen Huang, Huai-Ning Wu, and Xiong Yang. "Data-Driven $H_\infty$ Control for Nonlinear Distributed Parameter Systems." IEEE Transactions on Neural Networks and Learning Systems 26, no. 11 (November 2015): 2949–61. http://dx.doi.org/10.1109/tnnls.2015.2461023.
Full textVerdeny, Albert, Joaquim Puig, and Florian Mintert. "Quasi-Periodically Driven Quantum Systems." Zeitschrift für Naturforschung A 71, no. 10 (October 1, 2016): 897–907. http://dx.doi.org/10.1515/zna-2016-0079.
Full textDiop, Mamadou A., and María J. Garrido-Atienza. "Retarded evolution systems driven by fractional Brownian motion with Hurst parameter." Nonlinear Analysis: Theory, Methods & Applications 97 (March 2014): 15–29. http://dx.doi.org/10.1016/j.na.2013.11.008.
Full textGe, Xiaobiao, Zhong Luo, Ying Ma, Haopeng Liu, and Yunpeng Zhu. "A novel data-driven model based parameter estimation of nonlinear systems." Journal of Sound and Vibration 453 (August 2019): 188–200. http://dx.doi.org/10.1016/j.jsv.2019.04.024.
Full textSroczynski, David W., Or Yair, Ronen Talmon, and Ioannis G. Kevrekidis. "Data-driven Evolution Equation Reconstruction for Parameter-Dependent Nonlinear Dynamical Systems." Israel Journal of Chemistry 58, no. 6-7 (April 6, 2018): 787–94. http://dx.doi.org/10.1002/ijch.201700147.
Full textLi, Guo-Hui. "Synchronization of chaotic systems with parameter driven by a chaotic signal." Chaos, Solitons & Fractals 26, no. 5 (December 2005): 1485–89. http://dx.doi.org/10.1016/j.chaos.2005.04.012.
Full textZhao, Y. M., W. F. Xie, and X. W. Tu. "Performance-based parameter tuning method of model-driven PID control systems." ISA Transactions 51, no. 3 (May 2012): 393–99. http://dx.doi.org/10.1016/j.isatra.2012.02.005.
Full textDissertations / Theses on the topic "Parameter-driven systems"
Poon, Josiah Chun-Fai, and josiah poon@deakin edu au. "An intelligent assistant to re-configure parameter-driven systems." Deakin University, 1994. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20061207.143623.
Full textAbou, Jaoude Dany. "Computationally Driven Algorithms for Distributed Control of Complex Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85965.
Full textPh. D.
The work in this dissertation is motivated by the numerous applications in which multiple agents interact and cooperate to perform a coordinated task. Examples of such applications include automated highway systems and formation flight of unmanned aircraft systems. For instance, one can think of the hazardous conditions created by a fire in a building and the benefits of using multiple interacting multirotors to deal with this emergency situation and reduce the risks on humans. This dissertation develops mathematical tools for studying and dealing with these complex systems. Namely, it is shown how controllers can be designed to ensure that such systems perform in the desired way, and how the models that describe the systems of interest can be systematically simplified to facilitate performing the tasks of mathematical analysis and control design.
Natarajan, Vishwanath. "Self-healing RF SoCs: low cost built-in test and control driven simultaneous tuning of multiple performance metrics." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37165.
Full textHorng, Rong-Hwang, and 洪榮煌. "Parameter Identification and Micro-Scale Position control of the Linear-Motor-Driven Motion System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/82804270512091526882.
Full text國立交通大學
機械工程系所
94
Linear-motor-driven motion systems are becoming popular in recent years due to its simple structure and absence of flexible coupling. In this dissertation, the parameters of a linear-motor-driven motion system, such as the inertia, viscous damping coefficient, and Coulomb friction, can be identified more quickly and accurately by using disturbance observer. If the motion table is operated in the presliding region, the bristle deflection of the system is almost equal to the movement of the motion table. A linearized micro-scale model of the motion system is also proposed in this study. The parameters of the linearized model are obtained from a PRBS testing signal experiment. A micro-scale controller is designed based on the linearized micro-scale model, and by contrast, based on macro-scale model, three macro-scale controllers are designed. Comparing to the tracking and positioning experiments of the micro-scale controller and three macro-scale controllers, we obtain that the tracking and positioning error are about 1 BLU, 20nm by using the micro-scale controller under nanometer scale trajectory. For speeding up the positioning performance under macro-scale positioning movement, a two-stage controller switching algorithm from a macro-scale controller to a micro-scale controller is proposed in this study. As the motion near the desired target, the controller is smoothly switched from the macro-scale controller to the micro-scale controller. The choice of the switching condition can be the trade-off of the maximum position error (overshoot) and the settling time. In our experiment results, it totally takes at most 0.394 second for the motion table to reach the target position of 1000µm with the positioning accuracy of one BLU, 20nm. If we use the bumpless switching algorithm to switch two controllers, it totally takes at least 0.280 second for the motion table to reach the target position of 1000µm with the positioning accuracy of one BLU, 20nm and no overshoot phenomenon during switching. After a large scale positioning movement, using the micro-scale controller under micro-scale trajectories still has the best tracking performance within one BLU, 20nm.
Book chapters on the topic "Parameter-driven systems"
Tindel, Samy, and Iván Torrecilla. "Some Differential Systems Driven by a fBm with Hurst Parameter Greater than 1/4." In Springer Proceedings in Mathematics & Statistics, 169–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29982-7_8.
Full textWasilewski, Grzegorz, Grzegorz Kudra, Jan Awrejcewicz, Maciej Kaźmierczak, Mateusz Tyborowski, and Marek Kaźmierczak. "A Pendulum Driven by a Crank-Shaft-Slider Mechanism and a DC Motor—Mathematical Modeling, Parameter Identification, and Experimental Validation of Bifurcational Dynamics." In Dynamical Systems: Theoretical and Experimental Analysis, 385–98. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42408-8_31.
Full textMadankan, Reza, Puneet Singla, and Tarunraj Singh. "Parameter Estimation of Atmospheric Release Incidents Using Maximal Information Collection." In Dynamic Data-Driven Environmental Systems Science, 310–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25138-7_28.
Full textGharamti, Mohamad E., Boujemaa Ait-El-Fquih, and Ibrahim Hoteit. "A One-Step-Ahead Smoothing-Based Joint Ensemble Kalman Filter for State-Parameter Estimation of Hydrological Models." In Dynamic Data-Driven Environmental Systems Science, 207–14. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25138-7_19.
Full textLu, Hongrun, Bingshan Hu, Hongliu Yu, Tong Ma, and Xinran Zhang. "Parameter Optimization Design of a Cable-Driven Bionic Muscle Mechanism Based on Hill Muscle Model for Flexible Upper Limb-Assisted Exoskeleton." In Man-Machine-Environment System Engineering, 263–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_32.
Full textHalimah, B. Z., A. Azlina, T. M. Sembok, I. Sufian, M. N. Sharul Azman, A. B. Azuraliza, A. O. Zulaiha, et al. "Multi-tiered S-SOA, Parameter-Driven New Islamic Syariah Products of Holistic Islamic Banking System (HiCORE): Virtual Banking Environment." In Lecture Notes in Computer Science, 288–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05036-7_28.
Full textKoß, Daniel. "Parameter-driven Handover Interfaces of Safety-related Design Toolchains." In Autonomous Systems 2017, 257. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783186857101-257.
Full textXie, Weiguo, Ioannis Bonis, and Constantinos Theodoropoulos. "Linear MPC based on data-driven Artificial Neural Networks for large-scale nonlinear distributed parameter systems." In Computer Aided Chemical Engineering, 1212–16. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-444-59520-1.50101-9.
Full textLopes, Maria João, Eugénio M. Rocha, Petia Georgieva Georgieva, and Nelson Ferreira. "General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry." In Advances in Business Information Systems and Analytics, 263–90. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-6985-6.ch012.
Full textWio, Horacio. "On the Role of Non-Gaussian Noises on Noise-Induced Phenomena." In Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0015.
Full textConference papers on the topic "Parameter-driven systems"
Butcher, Mark, Alireza Karimi, and Roland Longchamp. "Data-driven precompensator tuning for linear parameter varying systems." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739190.
Full textFormentin, Simone, Dario Piga, Roland Toth, and Sergio M. Savaresi. "Direct data-driven control of linear parameter-varying systems." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760519.
Full textTushar, Shikhar Pandey, Anurag K. Srivastava, Penn Markham, Navin Bhatt, and Mahendra Patel. "Data-driven parameter estimation of steady-state load models." In 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2016. http://dx.doi.org/10.1109/pedes.2016.7914501.
Full textBanerjee, P., Syed M. H. Rizvi, Anurag K. Srivastava, Penn Markham, and Mahendra Patel. "Data-Driven Static Load Model Parameter Estimation with Confidence Factor." In 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2018. http://dx.doi.org/10.1109/pmaps.2018.8440433.
Full textAzad, Sahar Pirooz, and Joseph Euzebe Tate. "Parameter estimation of doubly fed induction generator driven by wind turbine." In 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2011. http://dx.doi.org/10.1109/psce.2011.5772553.
Full textPei, Zhili, Jin Chen, Mingyang Jiang, Jingqing Jiang, Qinghu Wang, Yang Song, and Ming Zhao. "Researchment of metadata-driven based informatization strategy of parameter' life cycle management." In 2017 2nd Asia-Pacific Conference on Intelligent Robot Systems (ACIRS). IEEE, 2017. http://dx.doi.org/10.1109/acirs.2017.7986075.
Full textYosui, K., M. Wakahara, Y. Nakada, and T. Matsumoto. "Information driven parameter dynamics on-line Bayesian learning with sequential Monte Carlo." In 2005 International Symposium on Intelligent Signal Processing and Communication Systems. IEEE, 2005. http://dx.doi.org/10.1109/ispacs.2005.1595425.
Full textLiu, Lanlan, Xisheng Dai, Weijie Zhang, and Fan Zhang. "A Data-Driven Model of Optimal Iterative Learning Control for Distributed Parameter Systems." In 2018 5th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS). IEEE, 2018. http://dx.doi.org/10.1109/iccss.2018.8572311.
Full textKong, Minyue, Dan Sun, Jing He, and Heng Nian. "Control Parameter Identification in Grid-side Converter of Directly Driven Wind Turbine Systems." In 2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2020. http://dx.doi.org/10.1109/appeec48164.2020.9220436.
Full textHuang, Weicai, Kaiming Yang, Yu Zhu, and Sen Lu. "Data-Driven Feedforward Tuning Approach for LPV Motion Systems." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11203.
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