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Relevant bibliographies by topics / Nonlinear dynamic model

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Academic literature on the topic 'Nonlinear dynamic model'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Nonlinear dynamic model"

1

DE MELO, C. A. M., and S. T. RESENDE. "GALACTIC NONLINEAR DYNAMIC MODEL." International Journal of Modern Physics A 24, no. 08n09 (2009): 1669–73. http://dx.doi.org/10.1142/s0217751x09045200.

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We develop a model for spiral galaxies based on a nonlinear realization of the Newtonian dynamics starting from the momentum and mass conservations in the phase space. The radial solution exhibits a rotation curve in qualitative accordance with the observational data.

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Rivers, Douglas, and Quang Vuong. "Model selection tests for nonlinear dynamic models." Econometrics Journal 5, no. 1 (2002): 1–39. http://dx.doi.org/10.1111/1368-423x.t01-1-00071.

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Marievskaya, Natalia Yevgenyevna. "Screenplay as a Dynamic Process Model." Journal of Flm Arts and Film Studies 6, no. 2 (2014): 22–35. http://dx.doi.org/10.17816/vgik6222-35.

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The article problematizes the applicability of the concept formation, developed by the nonlinear dynamics' theory, to the field of study of a narrative text. Cinema work is considered as a dynamic process model. It is shown that every narrative text implements nonlinear dynamics as it comprises a point of explosion.

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He, Zhouhong, and Xiaowen Liao. "Nonlinear Dynamic Model of Machinery." Journal of Physics: Conference Series 1578 (July 2020): 012192. http://dx.doi.org/10.1088/1742-6596/1578/1/012192.

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Xiang, Ling, Zi Rui Wang, and Gui Ji Tang. "Bifurcation Characteristics of Unbalanced Rotor - Bearing System." Advanced Materials Research 490-495 (March 2012): 2037–41. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.2037.

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Dynamic model of nonlinear rotor—bearing system is set up using the modified Capone bearing forces models. And the nonlinear dynamics behavior of unbalanced rotor—bearing systems was studied. The system state trajectories, Poincare maps, are also constructed to analyze the typical dynamic behavior of the system．Through the nonlinear dynamic numerical simulation of the system，the dynamic phenomena of the rotor—bearing system caused by oil film forces are clearly distinct. The computational results show that the rotor speed is one of the most important factors of the system dynamic behavior. It

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Kao, B. G. "A Three-Dimensional Dynamic Tire Model for Vehicle Dynamic Simulations." Tire Science and Technology 28, no. 2 (2000): 72–95. http://dx.doi.org/10.2346/1.2135995.

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Abstract Traditional multibody dynamic (MBD) tire models concentrate on the tire patch force development and the tire in-plane characteristics. The tire lateral dynamics and nonlinear effects caused by the tire compliances during rough terrain driving and severe maneuvers are mostly neglected in vehicle analytical simulations. The tire finite element models, though capable of dealing with these phenomena, are basically not designed for quick vehicle dynamic evaluations. A simple three-dimensional (3-D) MBD tire model for full vehicle performance and maneuvering simulations over various road su

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Lin, J. S., and C. I. Weng. "A nonlinear dynamic model of cutting." International Journal of Machine Tools and Manufacture 30, no. 1 (1990): 53–64. http://dx.doi.org/10.1016/0890-6955(90)90041-g.

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Tie, Yu Jia, Wei Yang, and Hao Yu Tan. "Spacecraft Attitude and Orbit Coupled Nonlinear Adaptive Synchronization Control." Advanced Materials Research 327 (September 2011): 6–11. http://dx.doi.org/10.4028/www.scientific.net/amr.327.6.

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Precise dynamic model of spacecraft is essential for the space missions, to be completed successfully. Nevertheless, the independent orbit or attitude dynamic models can not meet high precision tasks. This paper developed a 6-DOF relative coupling dynamic model based upon the nonlinear relative motion dynamics equations and attitude kinematics equations described by MRP. Nonlinear synchronization control law was designed for the coupled nonlinear dynamic model, whose close-loop system was proved to be global asymptotic stable by Lyapunov direct method. Finallly, the simulation results illustra

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DU, Zixue, Zhen YANG, Zhouzhou XU, Junchao ZHOU*, and Zhongwei HOU. "The Study on Nonlinear Model of Pantograph-catenary Coupling system for Straddle-type Monorail." Mechanics 26, no. 3 (2020): 212–20. http://dx.doi.org/10.5755/j01.mech.26.3.24287.

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Based on the Lagrange equation, the linear and nonlinear dynamic models of straddle monorail pantograph considering the lateral vibration of bogie are derived. On this basis, the lateral coupling dynamic model of pantograph-catenary is established. Newmark method is used to solve the pantograph-catenary coupling dynamic model. In order to evaluate the applicability of the two models，this paper analyzed the contact force response of two model with different speeds. The reasearch show that when the speed is below 40 km/h, the contact forces of nonlinear model and linear model can reflects the la

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HONG, DANIEL C. "DYNAMIC MODEL FOR GRANULAR ASSEMBLY." International Journal of Modern Physics B 07, no. 09n10 (1993): 1929–47. http://dx.doi.org/10.1142/s0217979293002699.

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In this paper, we investigate in detail the complex dynamics and flow patterns of granular materials based on two simple yet quite realistic models: the diffusing void model and the nonlinear dynamic model. We first show how the diffusing void model describes some of the unusual and unique features of granular flows in a confined geometry such as the deformation of the free surface, the formation of dead zones, the flow around obstacles, the shock front with its companion void regions, and the front profile of the propagating density waves. We then provide theoretical framework for the diffusi

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Dissertations / Theses on the topic "Nonlinear dynamic model"

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Fannemel, Åsmund Våge. "Dynamic Positioning by Nonlinear Model Predictive Control." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8921.

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<p>This thesis discusses the theoretical aspects of the unscented Kalman filter (UKF) and nonlinear model predictive control (NMPC) and try to evaluate their practical value in a dynamic positioning (DP) system. A nonlinear horizontal vessel model is used as the basis for performing state, disturbance, and parameter estimation, and attempts at controling the vessel using NMPC are made. It is shown that the extended Kalman filter (EKF), which is much used in various navigation applications including DP, is outperformed both theoretically and practically in simulations by the UKF. Much of which

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Jones, Christopher D. C. "Dynamic gain-scheduled control of a nonlinear UCAV model." Thesis, University of Bristol, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424426.

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Krishnaswami, Vasanth. "Model based fault detection and isolation in nonlinear dynamic systems /." The Ohio State University, 1996. http://rave.ohiolink.edu/etdc/view?acc_num=osu148794218232319.

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Jumani, Sajit Satish. "An Invertible Open-Loop Nonlinear Dynamic Temperature Dependent MR Damper Model." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/32664.

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A Magnetorheological damper is a commonly used component in semi-active suspensions that achieves a high force capacity and better performance than a passive system, without the added expense and power draw of a fully active system, all while maintaining failsafe performance. To fully exploit the capabilities of an MR Damper, a high fidelity controller is required that is simple and easy to implement, yet does not compromise the accuracy or precision needed in many high-performance applications. There is a growing need for this level of operation, and this proposed work addresses these requi

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Zigic, Jovan. "Optimization Methods for Dynamic Mode Decomposition of Nonlinear Partial Differential Equations." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103862.

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Reduced-order models have long been used to understand the behavior of nonlinear partial differential equations. Naturally, reduced-order modeling techniques come at the price of either computational accuracy or computation time. Optimization techniques are studied to improve either or both of these objectives and decrease the total computational cost of the problem. This thesis focuses on the dynamic mode decomposition (DMD) applied to nonlinear PDEs with periodic boundary conditions. It provides one study of an existing optimization framework for the DMD method known as the Optimized DMD and

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Yu, Ssu-Hsin. "Model-based identification and control of nonlinear dynamic systems using neural networks." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/39609.

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Nigro, Paulo Salvador Britto. "An adaptive model order reduction for nonlinear dynamical problems." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/3/3144/tde-26122014-122046/.

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Model order reduction is necessary even in a time where the parallel processing is usual in almost any personal computer. The recent Model Reduction Methods are useful tools nowadays on reducing the problem processing. This work intends to describe a combination between POD (Proper Orthogonal Decomposition) and Ritz vectors that achieve an efficient Galerkin projection that changes during the processing, comparing the development of the error and the convergence rate between the full space and the projection space, in addition to check the stability of the projection space, leading to an adapt

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Huang, Rui. "Nonlinear Model Predictive Control and Dynamic Real Time Optimization for Large-scale Processes." Research Showcase @ CMU, 2010. http://repository.cmu.edu/dissertations/29.

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This dissertation addresses some of the theoretical and practical issues in optimized operationsin the process industry. The current state-of-art is to decompose the optimizationinto the so-called two-layered structure, including real time optimization (RTO) and advancedcontrol. Due to model discrepancy and inconsistent time scales in different layers,this structure may render suboptimal solutions. Therefore, the dynamic real time optimization(D-RTO) or economically-oriented nonlinear model predictive control (NMPC)that directly optimizes the economic performance based on first-principle dynam

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Mat, Zali Samila Binti. "Equivalent dynamic model of distribution network with distributed generation." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/equivalent-dynamic-model-of-distribution-network-with-distributed-generation(f4dc9bba-ed4a-4c74-a727-735f3addb6b2).html.

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Today’s power systems are based on a centralised system and distribution networks that are considered as passive terminations of transmission networks. The high penetration of Distributed Generation (DG) at the distribution network level has created many challenges for this structure. New tools and simulation approaches are required to address the subject and to quantify the dynamic characteristics of the system. A distribution network or part of it with DG, Active Distribution Network Cell (ADNC), can no longer be considered as passive. An equivalent dynamic model of ADNC is therefore extreme

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Ye, Haoquan. "Control of Quadcopter UAV by Nonlinear Feedback." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1523544168630815.

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Books on the topic "Nonlinear dynamic model"

1

Papageorgiou, Evangelos C. Development of a dynamic model for a UAV. Naval Postgraduate School, 1997.

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Gan, Hong. A new decision rule for model structure identification of a class of nonlinear dynamic systems. University of Sheffield, Dept. of Control Engineering, 1989.

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3

Pötscher, Benedikt M., and Ingmar R. Prucha. Dynamic Nonlinear Econometric Models. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03486-6.

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Nonlinear psychophysical dynamics. L. Erlbaum Associates, 1988.

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Stachurski, John, Alain Venditti, and Makoto Yano, eds. Nonlinear Dynamics in Equilibrium Models. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-22397-6.

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R, Prucha Ingmar, ed. Dynamic nonlinear econometric models: Asymptotic theory. Springer-Verlag, 1997.

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Pötscher, Benedikt M. Dynamic Nonlinear Econometric Models: Asymptotic Theory. Springer Berlin Heidelberg, 1997.

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8

Antonio, Palacios, Schweitzer Frank, Kacprzyk Janusz, et al., eds. Applications of Nonlinear Dynamics: Model and Design of Complex Systems. Springer Berlin Heidelberg, 2009.

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9

Sempf, Mario. Nichtlineare Dynamik atmosphärischer Zirkulationsregime in einem idealisierten Modell: Nonlinear dynamics of atmospheric circulation regimes in an idealized model. Alfred-Wegener-Institut für Polar- und Meeresforschung, 2006.

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10

L, Koul H., ed. Weighted empirical processes in dynamic nonlinear models. 2nd ed. Springer, 2002.

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Book chapters on the topic "Nonlinear dynamic model"

1

Binder, T., L. Blank, W. Dahmen, and W. Marquardt. "Towards Multiscale Dynamic Data Reconciliation." In Nonlinear Model Based Process Control. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5094-1_21.

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Biegler, Lorenz T. "Efficient Solution of Dynamic Optimization and NMPC Problems." In Nonlinear Model Predictive Control. Birkhäuser Basel, 2000. http://dx.doi.org/10.1007/978-3-0348-8407-5_13.

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Klimas, A. J., D. N. Baker, D. A. Roberts, D. H. Fairfield, and J. Büchner. "A Nonlinear Dynamic Analogue Model of Substorms." In Magnetospheric Substorms. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm064p0449.

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Breslavsky, D., and O. Morachkovsky. "A New Model of Nonlinear Dynamic Creep." In Solid Mechanics and Its Applications. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-015-8494-4_23.

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Poirion, F. "Bounded Random Oscillations: Model and Numerical Resolution for an Airfoil." In Nonlinear Stochastic Dynamic Engineering Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83334-2_17.

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Nishimura, Kazuo, and Koji Shimomura. "Trade and Indeterminacy in a Dynamic General Equilibrium Model." In Nonlinear Dynamics in Equilibrium Models. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22397-6_14.

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Steck, E. "A Stochastic Model for the Interaction of Plasticity and Creep in Metals." In Nonlinear Stochastic Dynamic Engineering Systems. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83334-2_21.

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Kenny, Sean P., Luis G. Crespo, Lindsey Andrews, and Daniel Giesy. "Robust Control Design for Uncertain Nonlinear Dynamic Systems." In Topics in Model Validation and Uncertainty Quantification, Volume 4. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2431-4_3.

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Suzuki, K., and K. Kawanobe. "System Identification of Nonlinear Dynamic Structures Based on Stochastic Time Series Model Fitting." In Nonlinear Stochastic Mechanics. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84789-9_43.

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Murray-Smith, Roderick, and Kenneth Hunt. "Local Model Architectures for Nonlinear Modelling and Control." In Neural Network Engineering in Dynamic Control Systems. Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3066-6_4.

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Conference papers on the topic "Nonlinear dynamic model"

1

Bai, Bin, Hongli Wang, and Hongchen Han. "Construction and nonlinear dynamic analysis of nonlinear dynamic price model." In EM). IEEE, 2009. http://dx.doi.org/10.1109/icieem.2009.5344335.

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Shah, S. J., and B. Brenneman. "Fuel Assembly Nonlinear Dynamic Model." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22269.

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Fuel assembly finite-element dynamic models are developed to perform the core seismic analysis. The fuel assembly is modeld by a single vertical beam, which represents the cross-sectional inertias of the fuel rods, guide thimbles and instrument thimble, and a series of rotational springs. The rotational springs are located at the intermediate spacer grid locations. Benchmarking to fuel assembly natural frequencies determined by testing is accomplished by adjusting the moment of inertia and the grid rotational stiffness to find their effective values. Most often these models are linear and are

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Kordt, M., H. Lusebrink, and G. Schullerus. "Nonlinear model reduction of structural dynamic aircraft models." In 41st Structures, Structural Dynamics, and Materials Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1757.

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Wang, Cheng-Chi, Her-Terng Yau, Yen-Liang Yeh, and Ming-Jyi Jang. "Nonlinear Dynamic Analysis of Earthquake Model." In 2009 Second International Symposium on Knowledge Acquisition and Modeling. IEEE, 2009. http://dx.doi.org/10.1109/kam.2009.180.

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Park, H. O., A. A. Dibazar, and T. W. Berger. "Nonlinear model for Dynamic Synapse Neural Network." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6347225.

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González, Marina, Mariana Baroni, and Marco Granero. "Dynamic of Neural Membrane Using a Numerical Model." In 6th International Conference on Nonlinear Science and Complexity. INPE Instituto Nacional de Pesquisas Espaciais, 2016. http://dx.doi.org/10.20906/cps/nsc2016-0080.

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Bin, Yang, Yaoyu Li, and Nenglian Feng. "Nonlinear Dynamic Battery Model With Boundary and Scanning Hysteresis." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2745.

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Battery has drawn much more attention due to the accelerating development of Electric Vehicle (EV) and Plugin Hybrid Electric Vehicles (PHEV) for sustainable mobility. It is worthwhile to study the dynamic model of battery in order to achieve better performance in power management. This paper proposes a nonlinear dynamic battery model for PHEV power management. First, an existing RC equivalent circuit is used to simulate the dynamics of the battery states with respect to the input current. Then, a concept of nonlinear hysteresis degree is introduced, and is adopted to implement the mathematica

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Kirsch, Nicholas A., Naji A. Alibeji, and Nitin Sharma. "Nonlinear Model Predictive Control of Functional Electrical Stimulation." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9762.

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One of the major limitations of functional electrical stimulation (FES) is the rapid onset of muscle fatigue. Minimizing stimulation is the key to decreasing the adverse effects of muscle fatigue caused by FES. Optimal control can be used to compute the minimum amount of stimulation necessary to produce a desired motion. In this paper, a gradient projection-based model predictive controller is used for an approximate optimal control of a knee extension neuroprosthesis. A control Lyapunov function is used as a terminal cost to ensure stability of the model predictive control.

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Chen, Zheng, and Xiaobo Tan. "Model-Based Nonlinear Control of Ionic Polymer-Metal Composite Actuators." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2612.

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Ionic polymer-metal composites (IPMCs) are soft materials that can generate large deformation under a low voltage. IPMCs have many potential applications in biomedical, robotic and micro/nano manipulation systems. In this paper, we first present a distributed, nonlinear circuit model for IPMC, which incorporates the nonlinear capacitance, the nonlinear DC resistance, and the effect of surface resistance. The bending displacement is proportional to the total stored charge in IPMC. After discretizing the model in the length direction, we obtain a multiple-segment model which can be represented i

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Chung, Namhoon, Sunwoo Kim, and Myoungho Sunwoo. "Nonlinear Dynamic Model of a Turbocharged Diesel Engine." In SAE 2005 World Congress & Exhibition. SAE International, 2005. http://dx.doi.org/10.4271/2005-01-0017.

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Reports on the topic "Nonlinear dynamic model"

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Mukhamadeeva, O. R., S. A. Gorbatkov, S. A. Farkhieva, and N. H. Sharafutdinova. Algorithm for constructing a nonlinear dynamic predictive regression model with panel data. OFERNIO, 2020. http://dx.doi.org/10.12731/ofernio.2020.24646.

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Abdalla, M. A. A nonlinear dynamic model of a once-through, helical-coil steam generator. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10107285.

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Bonhomme, Stéphane, and Manuel Arellano. Nonlinear panel data methods for dynamic heterogeneous agent models. The IFS, 2016. http://dx.doi.org/10.1920/wp.cem.2016.5116.

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Abarbanel, Henry, and Philip Gill. Parameter Estimation and Model Validation of Nonlinear Dynamical Networks. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1177970.

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Oden, J. T. Computational Methods for Nonlinear Dynamics Problems in Solid and Structural Mechanics: Models of Dynamic Frictional Phenomena in Metallic Structures. Defense Technical Information Center, 1986. http://dx.doi.org/10.21236/ada174585.

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Berk, H. L., B. N. Breizman, and M. Pekker. Nonlinear dynamics of a driven mode near marginal stability. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/120914.

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Smith, Richard J., and Paulo Parente. Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.6019.

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Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can c

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Rulkov, Nikolai. Nonlinear Maps for Design of Discrete Time Models of Neuronal Network Dynamics. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1004577.

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Rulkov, Nikolai. Nonlinear Maps for Design of Discrete-Time Models of Neuronal Network Dynamics. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1007639.

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