Auswahl der wissenschaftlichen Literatur zum Thema „Nonlinear dynamic system modeling and control“
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Zeitschriftenartikel zum Thema "Nonlinear dynamic system modeling and control"
Baranyi, P., und A. R. Varkonyi-Koczy. „TP Transformation Based Dynamic System Modeling for Nonlinear Control“. IEEE Transactions on Instrumentation and Measurement 54, Nr. 6 (Dezember 2005): 2191–203. http://dx.doi.org/10.1109/tim.2005.858576.
Der volle Inhalt der QuelleDantas, Tarcísio Soares Siqueira, Ivan Carlos Franco, Ana Maria Frattini Fileti und Flávio Vasconcelos da Silva. „Nonlinear System Identification of a Refrigeration System“. International Journal of Air-Conditioning and Refrigeration 24, Nr. 04 (Dezember 2016): 1650024. http://dx.doi.org/10.1142/s2010132516500243.
Der volle Inhalt der QuelleSong, H., R. Fraanje, G. Schitter, G. Vdovin und M. Verhaegen. „Modeling and Control of a Nonlinear Dynamic Adaptive Optics System“. IFAC Proceedings Volumes 43, Nr. 18 (2010): 299–305. http://dx.doi.org/10.3182/20100913-3-us-2015.00079.
Der volle Inhalt der QuelleLEI, S., und A. TURAN. „NONLINEAR/CHAOTIC MODELING AND CONTROL OF COMBUSTION INSTABILITIES“. International Journal of Bifurcation and Chaos 20, Nr. 04 (April 2010): 1245–54. http://dx.doi.org/10.1142/s0218127410026447.
Der volle Inhalt der QuellePandey, Dev Ras. „Dynamic Modeling of Nonlinear Systems in Cyber-Physical Environments“. Communications on Applied Nonlinear Analysis 30, Nr. 2 (01.12.2023): 40–55. http://dx.doi.org/10.52783/cana.v30.272.
Der volle Inhalt der QuelleGevelber, M. A., M. Bufano und M. Toledo-Quin˜ones. „Dynamic Modeling Analysis for Control of Chemical Vapor Deposition“. Journal of Dynamic Systems, Measurement, and Control 120, Nr. 2 (01.06.1998): 164–69. http://dx.doi.org/10.1115/1.2802405.
Der volle Inhalt der QuelleAnnaswamy, A. M., und D. Seto. „Object Manipulation Using Compliant Fingerpads: Modeling and Control“. Journal of Dynamic Systems, Measurement, and Control 115, Nr. 4 (01.12.1993): 638–48. http://dx.doi.org/10.1115/1.2899191.
Der volle Inhalt der QuelleTan, Yonghong, und Xinlong Zhao. „NEURAL MODELING AND CONTROL OF DYNAMIC SYSTEMS WITH HYSTERESIS“. Transactions of the Canadian Society for Mechanical Engineering 31, Nr. 1 (März 2007): 127–41. http://dx.doi.org/10.1139/tcsme-2007-0008.
Der volle Inhalt der QuelleLiu, Ye Jiao, Zhi Chao Tian und Dong Mei Huang. „System Dynamics Model of Coalmine Safety Management“. Applied Mechanics and Materials 353-356 (August 2013): 2381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.2381.
Der volle Inhalt der QuelleSmolarik, Lukas, Dušan Mudrončík und Milan Strbo. „Modeling and Control of Compression System“. Applied Mechanics and Materials 693 (Dezember 2014): 110–16. http://dx.doi.org/10.4028/www.scientific.net/amm.693.110.
Der volle Inhalt der QuelleDissertationen zum Thema "Nonlinear dynamic system modeling and control"
Kaisare, Niket S. „Modeling, Analysis and Control of Nonlinear Switching Systems“. Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/6976.
Der volle Inhalt der QuelleMoret, Eric N. „Dynamic Modeling and Control of a Car-Like Robot“. Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/31535.
Der volle Inhalt der QuelleThe Flexible Low-cost Automated Scaled Highway (FLASH) laboratory at the Virginia Tech Transportation Institute (VTTI) is one of many facilities dedicated to the field of Intelligent Transportation Systems (ITS). The goal of the FLASH lab is to provide small-scale development and implementation of autonomous control strategies for today's vehicles.
The current controller used on the scale vehicles is based solely on the kinematics of the system. This body of work was aimed to develop a dynamic control law to enhance the performance of the existing kinematic controller. This control system is intended to automatically maintain the vehicle's alignment on the road as well as keep the speed of the vehicle constant. Implementation of such systems could conceivably reduce driver fatigue by removing nearly all the burden of the driving process from the driver while on the highway.
System dynamics of car-like robots with nonholonomic constraints were employed in this research to create a controller for an autonomous path following vehicle. The application of working kinematic and dynamic models describing car-like robotic systems allowed the development of a nonlinear controller.
Simulations of the vehicle and controller were done using MATLAB. Comparisons of the kinematic controller and the dynamic controller presented here were also done. In order to make the simulations model the actual system more closely, measures were taken to approximate actual sensor readings.
Master of Science
Karakas, Deniz. „Nonlinear Modeling And Flight Control System Design Of An Unmanned Aerial Vehicle“. Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608926/index.pdf.
Der volle Inhalt der Quelle/Simulink®
environment is developed by taking into consideration all the possible major system components such as actuators, gravity, engine, atmosphere, wind-turbulence models, as well as the aerodynamics components in the 6 DOF equations of motion. Trim and linearization of the developed nonlinear model are accomplished and various related analyses are carried out. The model is validated by comparing with a similar UAV data in terms of open loop dynamic stability characteristics. Using two main approaches
namely, classical and optimal, linear controllers are designed. For the classical approach, Simulink Response Optimization (SRO) tool of MATLAB®
/Simulink®
is utilized, whereas for the optimal controller approach, linear quadratic (LQ) controller design method is implemented, again by the help of the tools put forth by MATLAB®
. The controllers are designed for control of roll, heading, coordinated turn, flight path, pitch, altitude, and airspeed, i.e., for the achievement of all low-level control functions. These linear controllers are integrated into the nonlinear model, by carrying out gain scheduling with respect to airspeed and altitude, controller input linearization regarding the perturbed states and control inputs, and anti integral wind-up scheme regarding the possible wind-up of the integrators in the controller structures. The responses of the nonlinear model controlled with the two controllers are compared based on the military flight control requirements. The advantages and disadvantages of these two frequently used controllers in industry are investigated and discussed. These results are to be evaluated by the designers themselves based on the design criteria of a project that is worked on.
Layshot, Nicholas Joseph. „MODELING OF A GYRO-STABILIZED HELICOPTER CAMERA SYSTEM USING NEURAL NETWORKS“. DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/421.
Der volle Inhalt der QuelleNoxon, Nikola John Linn. „A MODEL PREDICTIVE CONTROL APPROACH TO ROLL STABILITY OF A SCALED CRASH AVOIDANCE VEHICLE“. DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/783.
Der volle Inhalt der QuelleFarid, Farshad. „On-line modeling and inverse optimal control of a class of unknown nonlinear systems using dynamic neural networks /“. Available to subscribers only, 2006. http://proquest.umi.com/pqdweb?did=1240704141&sid=4&Fmt=2&clientId=1509&RQT=309&VName=PQD.
Der volle Inhalt der QuelleBoberg, Frida. „Simulation of dynamic and static behavior of an electrically powered lift gate“. Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11627.
Der volle Inhalt der QuelleContinental Automotive Systems is a German company that develops control systems for different applications in cars. A control system for electrically powered lift gates that are opened or closed on the driver’s command is one of the products developed. The drive system itself is composed of a spindle that is driven by a DC-motor over a gear and a spring. When developing the control system it is convenient to use a simulation model instead of having to implement it on the system every time. The simulation analytically describes how the system is behaving.
In this thesis a simulation model of a drive system and a lift gate is developed and evaluated. The model parameters are estimated using System Identification Toolbox in Matlab.
Continental Automotive Systems är ett tyskt företag som utvecklar styrsystem för olika tillämpningar i bilar. Bland annat utvecklas ett styrsystem till eldrivna bakluckor som öppnas och stängs av föraren per knapptryck. Själva drivanordningen består av en skruv som drivs av en likströmsmotor över en utväxling och en fjäder. Då man vill utveckla styrsystemet utan att behöva implementera det på systemet varje gång är en simuleringsmodell av drivanordningen och luckan ett bra hjälpmedel. Denna simuleringsmodell kan då analytiskt beräkna hur systemet uppför sig.
I detta examensarbete har en simuleringsmodell av en drivanordning med tillhörande lucka utvecklats och utvärderats. Modellparametrarna estimerades med hjälp av System Identification Toolbox i Matlab.
Singla, Puneet. „Multi-resolution methods for high fidelity modeling and control allocation in large-scale dynamical systems“. Texas A&M University, 2005. http://hdl.handle.net/1969.1/3785.
Der volle Inhalt der QuelleWiese, Johannes Jacobus. „System identification and model-based control of a filter cake drying process“. Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6654.
Der volle Inhalt der QuelleENGLISH ABSTRACT: A mineral concentrate drying process consisting of a hot gas generator, a flash dryer and a feeding section is found to be the bottleneck in the platinum concentrate smelting process. This operation is used as a case study for system identification and model-based control of dryers. Based on the availability of a month's worth of dryer data obtained from a historian, a third party modelling and control software vendor is interested in the use of this data for data driven model construction and options for dryer control. The aimed contribution of this research is to use only data driven techniques and attempt an SID experiment and use of this model in a controller found in literature to be applicable to the dryer process. No first principle model was available for simulation or interpretation of results. Data were obtained for the operation from the plant historian, reduced, cleaned and investigated for deterministic information through surrogate data comparison – resulting in usable timeseries from the plant data. The best datasets were used for modelling of the flash dryer and hot gas generator operations individually, with the hot gas generator providing usable results. The dynamic, nonlinear autoregressive models with exogenous inputs were identified by means of a genetic programming with orthogonal least squares toolbox. The timeseries were reconstructed as a latent variable set, or “pseudo-embedding”, using the delay parameters as identified by average mutual information, autocorrelation and false nearest neighbours. The latent variable reconstruction resulted in a large solution space, which need to be investigated for an unknown model structure. Genetic Programming is capable of identifying unknown structures. Freerun prediction stability and sensitivity analysis were used to assess the identified best models for use in model based control. The best two models for the hot gas generator were used in a basic model predictive controller in an attempt to only track set point changes. One step ahead modelling of the flash dryer outlet air temperature was unsuccessful with the best model obtaining a validation R2 = 43%. The lack of process information contained in the available process variables are to blame for the poor model identification. One-step ahead prediction of the hot gas generator resulted in a top model with validation R2 = 77.1%. The best two hot gas generator models were implemented in a model predictive controller constructed in a real time plant data flow simulation. This controller's performance was measured against set point tracking ability. The MPC implementation was unsuccessful due to the poor freerun prediction ability of the models. The controller was found to be unable to optimise the control moves using the model. This is assigned to poor model freerun prediction ability in one of the models and a too complex freerun model structure required. It is expected that the number of degrees of freedom in the freerun model is too much for the optimiser to handle. A successful real time simulation architecture for the plant dataflow could however be constructed in the supplied software. It is recommended that further process measurements, specifically feed moisture content, feed temperature and air humidity, be included for the flash dryer; closed loop system identification be investigated for the hot gas generator; and a simpler model structure with smaller reconstructed latent variable regressor set be used for the model predictive controller.
AFRIKAANSE OPSOMMING: 'n Drogings proses vir mineraal konsentraat bestaan uit drie eenhede: 'n lug verwarmer-, 'n blitsdroeër- en konsentraat toevoer eenheid. Hierdie droeër is geïdentifiseer as die bottelnek in die platinum konsentraat smeltingsproses. Die droeër word gebruik as 'n gevallestudie vir sisteem identifikasie asook model-gebasseerder beheer van droeërs. 'n Maand se data verkry vanaf die proses databasis, het gelei tot 'n derde party industriële sagteware en beheerstelsel maatskappy se belangstelling in data gedrewe modelering en beheer opsies vir die drogings proses. Die doelwit van hierdie studie is om data gedrewe modeleringstegnieke te gebruik en die model in 'n droeër-literatuur relevante beheerder te gebruik. Geen eerste beginsel model is beskikbaar vir simulasie of interpretasie van resultate nie. Die verkrygde data is gereduseer, skoon gemaak en bestudeer om te identifiseer of die tydreeks deterministiese inligting bevat. Dit is gedoen deur die tydreeks met stochastiese surrogaat data te vergelyk. Die mees gepaste datastelle is gebruik vir modellering van die blitsdroeër en lugverwarmer afsonderlik. Die nie-liniêre, dinamiese nie-linieêre outeregressie modelle met eksogene insette was deur 'n genetiese programmering algoritme, met ortogonale minimum kwadrate, identifiseer. Die betrokke tydreeks is omskep in 'n hulp-veranderlike stel deur gebruik te maak van vertragings-parameters wat deur gemiddelde gemeenskaplike inligting, outokorrelasie en vals naaste buurman metodes verkry is. Die GP algoritme is daartoe in staat om the groot oplossings ruimte wat deur hierdie hulp-veranderlike rekonstruksie geskep word, te bestudeer vir 'n onbekende model struktuur. Die vrye vooruitskattings vermoë, asook die model sensitiwiteit is inag geneem tydens die analiese van die resultate. Die beste modelle se gepastheid tot model voorspellende beheer is gemeet deur die uitkomste van 'n sensitiwiteits analise, asook 'n vrylopende voorspelling, in oënskou te neem. Die een-stap vooruit voorspellende model van die droeër was onsusksesvol met die beste model wat slegs 'n validasie R2 = 43% kon behaal. Die gebrekkige meet instrumente in die droeër is te blameer vir die swak resultate. Die een-stap vooruit voorspellende model van die lug verwarmer wat die beste gevaar het, het 'n validasie R2 = 77.1% gehad. 'n Basiese model voorspellende beheerder is gebou deur die 2 beste modelle van slegs die lugverwarmer te gebruik in 'n intydse simulasie van die raffinadery data vloei struktuur. Hierdie beheerder se vermoë om toepaslike beheer uit te oefen, is gemeet deur die slegs die stelpunt te verander. Die beheerder was egter nie daartoe in staat om die insette te optimeer, en so die stelpunt te volg nie. Hierdie onvermoë is as gevolg van die kompleks vrylopende model struktuur wat oor die voorspellingsvenster optimeer moet word, asook die onstabiele vryvooruitspellings vermoë van die modelle. Die vermoede is dat die loslopende voorspelling te veel vryheids grade het om die insette maklik genoeg te optimeer. Die intydse simulasie van die raffinadery se datavloei struktuur was egter suksesvol. Beter meting van noodsaaklike veranderlikes vir die droër, o.a. voginhoud van die voer, voer temperatuur, asook lug humiditeit; geslotelus sisteem identifikasie vir die lugverwarmer; asook meer eenvoudige model struktuur vir gebruik in voorspellende beheer moontlik vermag deur 'n kleiner hulp veranderlike rekonstruksie te gebruik.
Castillo, Zamora José de Jesús. „Conception, Modélisation et Contrôle d'un Système Multi-Drones pour la Manipulation Aérienne“. Electronic Thesis or Diss., université Paris-Saclay, 2021. http://www.theses.fr/2021UPASG051.
Der volle Inhalt der QuelleA recent and exciting topic within the field of autonomous aerial vehicles is the interaction with the surrounding environment via in-flight manipulation, including retrieving, transport and deployment, which unveils an enormous potential vis-a-vis industrial and service applications. In this regard, the actual thesis focuses on the conception and energy-based dynamical study of a multi-link unmanned aerial system able to perform manipulation tasks. The study of the aforementioned robotic aerial system includes the control of the flying multi-link vehicle by the sliding mode control theory and the conception of Lyapunov-based controllers alongside the application of Kalman Filters for state and disturbances estimation. The last part of the thesis is devoted to the examination of time-delays effects on unmanned aerial systems. Detailed simulation results are provided to prove the effectiveness of the overall thesis proposal
Bücher zum Thema "Nonlinear dynamic system modeling and control"
Goebel, Rafal. Hybrid dynamical systems: Modeling, stability, and robustness. Princeton, N.J: Princeton University Press, 2012.
Den vollen Inhalt der Quelle findenMagnus, Nørgaard, Hrsg. Neural networks for modelling and control of dynamic systems: A practitioner's handbook. Berlin: Springer, 2000.
Den vollen Inhalt der Quelle findenErik, Mosekilde, und Mouritsen Ole G, Hrsg. Modelling the dynamics of biological systems: Nonlinear phenomena and pattern formation. Berlin: Springer, 1995.
Den vollen Inhalt der Quelle findenInternational Conference "Dynamical Systems - Theory and Applications" (9th 2007 Łódź, Poland). Modeling, simulation and control of nonlinear engineering dynamical systems: State-of-the-art, perspectives and applications. Herausgegeben von Awrejcewicz J. [S.l.]: Springer, 2009.
Den vollen Inhalt der Quelle findenInternational Conference "Dynamical Systems - Theory and Applications" (9th 2007 Łódź, Poland). Modeling, simulation and control of nonlinear engineering dynamical systems: State-of-the-art, perspectives and applications. Herausgegeben von Awrejcewicz J. [S.l.]: Springer, 2009.
Den vollen Inhalt der Quelle findenAwrejcewicz, Jan, Hrsg. Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8778-3.
Der volle Inhalt der QuelleRong, Hai-Jun, und Zhao-Xu Yang. Sequential Intelligent Dynamic System Modeling and Control. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1541-1.
Der volle Inhalt der QuelleInternational, Conference "Dynamical Systems Theory and Applications" (9th 2007 Łódź Poland). Modeling, simulation and control of nonlinear engineering dynamical systems: State-of-the-art, perspectives and applications. [S.l.]: Springer, 2009.
Den vollen Inhalt der Quelle findenShearer, J. Lowen. Dynamic modeling and control of engineering systems. 2. Aufl. Upper Saddle River, N.J: Prentice Hall, 1997.
Den vollen Inhalt der Quelle findenShearer, J. Lowen. Dynamic modeling and control of engineering systems. New York: Macmillan, 1990.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Nonlinear dynamic system modeling and control"
Rong, Hai-Jun, und Zhao-Xu Yang. „Modeling and Control of Nonlinear Dynamic Systems“. In Sequential Intelligent Dynamic System Modeling and Control, 45–61. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1541-1_4.
Der volle Inhalt der QuelleRong, Hai-Jun, und Zhao-Xu Yang. „Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems“. In Sequential Intelligent Dynamic System Modeling and Control, 183–201. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1541-1_11.
Der volle Inhalt der QuelleRong, Hai-Jun, und Zhao-Xu Yang. „Adaptive Nonparametric Evolving Fuzzy Controller for Nonlinear Uncertain Systems with Dead Zone“. In Sequential Intelligent Dynamic System Modeling and Control, 203–14. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1541-1_12.
Der volle Inhalt der QuelleLi, Dongwu, Chao Xu, Muzio Gola und Daniele Botto. „Reduced-Order Modeling Friction for Line Contact in a Turbine Blade Damper System“. In Nonlinear Dynamics and Control, 197–205. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34747-5_20.
Der volle Inhalt der QuelleElvitigala, Thanura, Himadri B. Pakrasi und Bijoy K. Ghosh. „Dynamic Network Modeling of Diurnal Genes in Cyanobacteria“. In Emergent Problems in Nonlinear Systems and Control, 21–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03627-9_2.
Der volle Inhalt der QuelleLiu, Zhijie, und Jinkun Liu. „Dynamic Modeling and Vibration Control for a Nonlinear Three-Dimensional Flexible Manipulator“. In PDE Modeling and Boundary Control for Flexible Mechanical System, 137–71. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2596-4_9.
Der volle Inhalt der QuelleMartin, Clyde F., und Mark Stamp. „Analysis of Infinite Dimensional Dynamic Systems with Nonlinear Observation over a Finite Field“. In Modeling, Estimation and Control of Systems with Uncertainty, 303–23. Boston, MA: Birkhäuser Boston, 1991. http://dx.doi.org/10.1007/978-1-4612-0443-5_20.
Der volle Inhalt der QuellePiccirillo, Vinicius, José Manoel Balthazar, Bento R. Pontes und Jorge L. P. Felix. „On Nonlinear Response of a Non–ideal System with Shape Memory Alloy“. In Modeling, Simulation and Control of Nonlinear Engineering Dynamical Systems, 107–16. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8778-3_10.
Der volle Inhalt der QuelleFrangos, Constantinos. „Dynamic Model and Nonlinear Control of the Mobile Air Defence System“. In Mathematical Modelling, Nonlinear Control and Performance Evaluation of a Ground Based Mobile Air Defence System, 63–81. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-55498-9_4.
Der volle Inhalt der QuellePiedbœuf, Jean-Claude, József Kövecses, Brian Moore und Régent L’Archevêque. „Symofros: A Virtual Environment for Modeling, Simulation and Real-Time Implementation of Multibody System Dynamics and Control“. In Virtual Nonlinear Multibody Systems, 317–24. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0203-5_18.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Nonlinear dynamic system modeling and control"
Wan-Jun, Hao, Qiao Yan-Hui, Zhu Xue-Li und Li Ze. „Data-driven fuzzy modeling for nonlinear dynamic system“. In 2011 23rd Chinese Control and Decision Conference (CCDC). IEEE, 2011. http://dx.doi.org/10.1109/ccdc.2011.5968348.
Der volle Inhalt der QuelleYerlikaya, Ümit, und R. Tuna Balkan. „Dynamic Modeling and Control of an Electromechanical Control Actuation System“. In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5056.
Der volle Inhalt der QuelleQu, Liping, Hongjian Wang, Xinqian Bian und Kejun Wang. „Study on static and dynamic modeling of nonlinear system“. In Seventh International Symposium on Instrumentation and Control Technology, herausgegeben von Jiancheng Fang und Zhongyu Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.806446.
Der volle Inhalt der QuelleEmaru, Takanori, Kazuo Imagawa, Yohei Hoshino und Yukinori Kobayashi. „Development of Control System by Nonlinear Compensation Using Digital Acceleration Control“. In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4125.
Der volle Inhalt der QuelleLee, Tae-Kyung, und Zoran S. Filipi. „Control Oriented Modeling and Nonlinear Model Predictive Control of Advanced SI Engine System“. In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4024.
Der volle Inhalt der QuelleYilmaz, Sevcan, und Yusuf Oysal. „Dynamic fuzzy system design for modeling and control of nonlinear dynamical processes“. In 2015 Science and Information Conference (SAI). IEEE, 2015. http://dx.doi.org/10.1109/sai.2015.7237183.
Der volle Inhalt der QuelleKarray, F., V. J. Modi und J. K. Chan. „Nonlinear Modeling and Dynamic Feedback Control of the Flexible Remote Manipulator System“. In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791718.
Der volle Inhalt der QuelleNuñez Gamboa, Juan Sebastian, und Juan David López. „Performance Evaluation of Two Nonlinear Controllers on an Attitude System Using SGCMG“. In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9884.
Der volle Inhalt der QuelleYilmaz, Sevcan, und Yusuf Oysal. „Nonlinear system modeling and control with dynamic fuzzy wavelet neural network“. In 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA). IEEE, 2015. http://dx.doi.org/10.1109/inista.2015.7276773.
Der volle Inhalt der QuelleLin, Yang, Yang Shi und Richard Burton. „Modeling and Robust Discrete-Time Sliding Mode Control Design for a Fluid Power Electrohydraulic Actuator (EHA) System“. In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2622.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Nonlinear dynamic system modeling and control"
Lokke, Arnkjell, und Anil Chopra. Direct-Finite-Element Method for Nonlinear Earthquake Analysis of Concrete Dams Including Dam–Water–Foundation Rock Interaction. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, März 2019. http://dx.doi.org/10.55461/crjy2161.
Der volle Inhalt der QuelleMorkun, Volodymyr, Natalia Morkun, Andrii Pikilnyak, Serhii Semerikov, Oleksandra Serdiuk und Irina Gaponenko. The Cyber-Physical System for Increasing the Efficiency of the Iron Ore Desliming Process. CEUR Workshop Proceedings, April 2021. http://dx.doi.org/10.31812/123456789/4373.
Der volle Inhalt der QuelleVirtucio, Michael, Barbaros Cetiner, Bingyu Zhao, Kenichi Soga und Erturgul Taciroglu. A Granular Framework for Modeling the Capacity Loss and Recovery of Regional Transportation Networks under Seismic Hazards: A Case Study on the Port of Los Angeles. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, Juni 2024. http://dx.doi.org/10.55461/hxhg3206.
Der volle Inhalt der QuelleMorkun, Vladimir S., Natalia V. Morkun und Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], Februar 2020. http://dx.doi.org/10.31812/123456789/3757.
Der volle Inhalt der QuelleWu, Yingjie, Selim Gunay und Khalid Mosalam. Hybrid Simulations for the Seismic Evaluation of Resilient Highway Bridge Systems. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ytgv8834.
Der volle Inhalt der QuelleHammad, Ali, und Mohamed Moustafa. Seismic Behavior of Special Concentric Braced Frames under Short- and Long-Duration Ground Motions. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, Dezember 2019. http://dx.doi.org/10.55461/zont9308.
Der volle Inhalt der QuelleEvent-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, Juli 2022. http://dx.doi.org/10.4271/2022-01-5056.
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