Relevant bibliographies by topics / Nonlinear system identificatio

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Nonlinear system identificatio'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Nonlinear system identificatio.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Nonlinear system identificatio"

1

Benyassi, Mohamed, and Adil Brouri. "Estimation of nonlinear systems parameters." IAES International Journal of Robotics and Automation (IJRA) 9, no. 1 (2020): 26–33. https://doi.org/10.11591/ijra.v9i1.pp26-33.

Full text
Abstract:
In this paper, an identification method is proposed to determine the nonlinear systems parameters. The proposed nonlinear systems can be described by Wiener systems. This structure of models consists of series of linear dynamic element and a nonlinearity block. Both the linear and nonlinear parts are nonparametric. In particular, the linear subsystem of structure entirely unknown. The considered nonlinearity function is of hard type. This latter can have a dead zone or with preload. These nonlinear systems have been confirmed by several practical applications
APA, Harvard, Vancouver, ISO, and other styles
2

Gupta, Ratan. "Study of Various Neural Network Architecture for Nonlinear System Identification." International Journal of Research Publication and Reviews 5, no. 4 (2024): 1161–66. http://dx.doi.org/10.55248/gengpi.5.0424.0934.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Jingzhi Li, Shanqiang Li, and Hongyu Liu. "RESTARTED NONLINEAR CONJUGATE GRADIENT METHOD FOR PARAMETER IDENTIFICATION IN ELLIPTIC SYSTEM." Eurasian Journal of Mathematical and Computer Applications 1, no. 1 (2013): 62–77. http://dx.doi.org/10.32523/2306-3172-2013-1-1-62-77.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Peng, Jiehua, Jiashi Tang, and Zili Chen. "Parameter Identification of Weakly Nonlinear Vibration System in Frequency Domain." Shock and Vibration 11, no. 5-6 (2004): 685–92. http://dx.doi.org/10.1155/2004/634785.

Full text
Abstract:
A new method of identifying parameters of nonlinearly vibrating system in frequency domain is presented in this paper. The problems of parameter identification of the nonlinear dynamic system with nonlinear elastic force or nonlinear damping force are discussed. In the method, the mathematic model of parameter identification is frequency response function. Firstly, by means of perturbation method the frequency response function of weakly nonlinear vibration system is derived. Next, a parameter transformation is made and the frequency response function becomes a linear function of the new param
APA, Harvard, Vancouver, ISO, and other styles
5

Chawla, Ishan, and Ashish Singla. "ANFIS based system identification of underactuated systems." International Journal of Nonlinear Sciences and Numerical Simulation 21, no. 7-8 (2020): 649–60. http://dx.doi.org/10.1515/ijnsns-2018-0005.

Full text
Abstract:
AbstractIn this work, the effectiveness of the adaptive neural based fuzzy inference system (ANFIS) in identifying underactuated systems is illustrated. Two case studies of underactuated systems are used to validate the system identification i. e., linear inverted pendulum (LIP) and rotary inverted pendulum (RIP). Both the systems are treated as benchmark systems in modeling and control theory for their inherit nonlinear, unstable, and underactuated behavior. The systems are modeled with ANFIS using the input-output data acquired from the dynamic response of the nonlinear analytical model of t
APA, Harvard, Vancouver, ISO, and other styles
6

Nelles, Oliver. "Nonlinear System Identification." Measurement Science and Technology 13, no. 4 (2002): 646. http://dx.doi.org/10.1088/0957-0233/13/4/709.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Walter, Eric. "Nonlinear system identification." Automatica 39, no. 3 (2003): 564–68. http://dx.doi.org/10.1016/s0005-1098(02)00239-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sjöberg, Jonas. "Nonlinear system identification." Control Engineering Practice 12, no. 2 (2004): 237–38. http://dx.doi.org/10.1016/s0967-0661(03)00023-6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nowak, Robert D. "Nonlinear system identification." Circuits, Systems, and Signal Processing 21, no. 1 (2002): 109–22. http://dx.doi.org/10.1007/bf01211655.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chee, Ewan, and Xiaonan Wang. "Generalized System Identification for Nonlinear MPC of Highly Nonlinear MIMO Systems." IFAC-PapersOnLine 54, no. 3 (2021): 366–71. http://dx.doi.org/10.1016/j.ifacol.2021.08.269.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Nonlinear system identificatio"

1

Mathew, Manu K. "Nonlinear system identification and prediction /." Online version of thesis, 1993. http://hdl.handle.net/1850/11594.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ziegler, Edward H. "Nonlinear system identification /." Online version of thesis, 1994. http://hdl.handle.net/1850/11583.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Arain, Muhammad Asif, Ayala Helon Vicente Hultmann, and Muhammad Adil Ansari. "Nonlinear System Identification Using Neural Network." University of Genova (Italy) and Warsaw University of Technology (Poland), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-28937.

Full text
Abstract:
Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.
APA, Harvard, Vancouver, ISO, and other styles
4

Brunke, Shelby Scott. "Nonlinear filtering and system identification algorithms for autonomous systems /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/7095.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chow, Po-Chuan. "Recursive nonlinear identification of Hammerstein-type systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1054758543.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Mattsson, Per. "Modeling and identification of nonlinear and impulsive systems." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-304837.

Full text
Abstract:
Mathematical modeling of dynamical systems plays a central roll in science and engineering. This thesis is concerned with the process of finding a mathematical model, and it is divided into two parts - one that concentrates on nonlinear system identification and another one where an impulsive model of testosterone regulation is constructed and analyzed. In the first part of the thesis, a new latent variable framework for identification of a large class of nonlinear models is developed. In this framework, we begin by modeling the errors of a nominal predictor using a flexible stochastic model.
APA, Harvard, Vancouver, ISO, and other styles
7

Lee, James X. "On fuzzy logic systems, nonlinear system identification, and adaptive control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/nq26881.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Tayamon, Soma. "Nonlinear system identification with applications to selective catalytic reduction systems." Licentiate thesis, Uppsala universitet, Avdelningen för systemteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-186963.

Full text
Abstract:
The stringent regulations on the emissions levels of heavy duty vehicles create a demand for new methods of reducing harmful emissions from the engine. In order to be able to follow these increasingly stricter legislations, complex aftertreatment systems are used. Achievement of optimal performance of these systems requires accurate models that can be used for control design. As a result, the interest in modelling and control of aftertreatment systems has increased. This thesis deals with the modelling of the nitrogen oxide (NOx) emissions from heavy duty vehicles using the selective catalyst
APA, Harvard, Vancouver, ISO, and other styles
9

Lee, James X. (James Xiang) Carleton University Dissertation Engineering Mechanical and Aerospace. "On fuzzy logic systems, nonlinear system identification, and adaptive control." Ottawa, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

Li, Liangmin. "Continuous time nonlinear system identification." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341867.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Nonlinear system identificatio"

1

Billings, Stephen A. Nonlinear System Identification. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118535561.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Nelles, Oliver. Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Nelles, Oliver. Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ogunfunmi, Tokunbo. Adaptive Nonlinear System Identification. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-68630-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Giri, Fouad, and Er-Wei Bai, eds. Block-oriented Nonlinear System Identification. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-513-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Westwick, David T., and Robert E. Kearney. Identification of Nonlinear Physiological Systems. John Wiley & Sons, Inc., 2003. http://dx.doi.org/10.1002/0471722960.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhou, Wei-Wu. Identification of nonlinear marine systems. Servolaboratory, Technical University of Denmark, 1987.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhu, Q. M. Identification & control of nonlinear systems. typescript, 1989.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

Śliwiński, Przemysław. Nonlinear System Identification by Haar Wavelets. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29396-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Santos, Paulo Lopes dos. Linear parameter-varying system identification: New developments and trends. World Scientific, 2012.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Nonlinear system identificatio"

1

Nelles, Oliver. "Linear Dynamic System Identification." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_14.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Nelles, Oliver. "Nonlinear Dynamic System Identification." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_15.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Nelles, Oliver. "Linear Dynamic System Identification." In Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_18.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Nelles, Oliver. "Nonlinear Dynamic System Identification." In Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Nelles, Oliver. "Nonlinear Local Optimization." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Nelles, Oliver. "Nonlinear Global Optimization." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Nelles, Oliver. "Nonlinear Local Optimization." In Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Nelles, Oliver. "Nonlinear Global Optimization." In Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Nelles, Oliver. "Introduction." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Nelles, Oliver. "Neural Networks." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Nonlinear system identificatio"

1

Doughty, Timothy A., and Matthew J. Leineweber. "Investigating Nonlinear Models for Health Monitoring in Vibrating Structures." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13304.

Full text
Abstract:
This paper investigates a method of nondestructive health monitoring based on mapping variations in a system’s estimated nonlinear parametric model. The studied system is a slender cantilever beam harmonically excited around its second natural frequency. Known significant nonlinear parameters for this system including quadratic damping and terms due to bending and inertia are considered. This study uses the Continuous Time based nonlinear system identification technique. The method used here has advantages over mappings of the system’s linear parameters, such as natural frequency whose apparen
APA, Harvard, Vancouver, ISO, and other styles
2

Srakaew, K., V. Sangveraphunsiri, S. Chantranuwathana, and R. Chancharoen. "Design of NARMA L2 Neurocontroller for Nonlinear Dynamical System." In Modelling, Identification, and Control. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.675-044.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hammel, Stephen, and P. W. Bo Hammer. "System identification in experimental data." In Chaotic, fractal, and nonlinear signal processing. AIP, 1996. http://dx.doi.org/10.1063/1.51022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Abusoua, Abdraouf, and Mohammed F. Daqaq. "Nonlinear Parametric System Identification Using Hard Excitations." In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9075.

Full text
Abstract:
This paper presents a new approach for the parametric identification of nonlinear systems. The approach is based on subjecting a nonlinear system to a strong high-frequency excitation and monitoring its influence on the slow modulation of the system’s response which occurs near its natural frequency. The identification procedure is outlined and numerically implemented on a Duffing-type system with unknown quadratic and cubic nonlinearities. The proposed technique is then implemented to identify the nonlinear parameters of three different experimental systems. Results demonstrate that the propo
APA, Harvard, Vancouver, ISO, and other styles
5

Shumsky, Alexey, and Alexey Zhirabok. "Robust Redundancy Relations for Fault Diagnosis in Nonlinear Descriptor Systems." In Modelling, Identification and Control. ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.799-022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Zhang, Mei, Ze-Tao Li, Boutaieb Dahhou, and Michel Cabassud. "Invertibility of Nonlinear Interconnected System." In 2018 10th International Conference on Modelling, Identification and Control (ICMIC). IEEE, 2018. http://dx.doi.org/10.1109/icmic.2018.8529973.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Nounou, Mohamed N., and Hazem N. Nounou. "Multiscale nonlinear system identification." In 2007 46th IEEE Conference on Decision and Control. IEEE, 2007. http://dx.doi.org/10.1109/cdc.2007.4434311.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Wong, Lai-Ah, and Jay-Chung Chen. "Nonlinear structure system identification." In Adaptive Structures Forum. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1298.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Chalupa, Petr, Jakub Novák, and Vladimír Bobál. "Identification and Control of Nonlinear Servo System." In Artificial Intelligence and Applications / Modelling, Identification, and Control. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.718-106.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chen, Kaian, Zhaojian Li, Yan Wang, Jing Wang, Kai Wu, and Dimitar P. Filev. "Online Nonlinear System Identification With Parameter Constraints: Application to Automotive Engine Systems." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9092.

Full text
Abstract:
Abstract In this paper, we treat the problem of online nonlinear system identification with parameter constraints. This approach is based upon our prior work on nonlinear system identification that exploits evolving Spatial-Temporal Filters (STF) to dynamically decompose system’s input/output space into a nonlinear combination of weighted local models. We extend the nonlinear system identification framework with the capability of dealing with linear equality and inequality parameter constraints. We leverage the gradient projection method in the local model parameter estimation process to inher
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Nonlinear system identificatio"

1

Farrar, Charles R., Keith Worden, Michael D. Todd, et al. Nonlinear System Identification for Damage Detection. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/922532.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Gu, Guoxiang, and Kemin Zhou. Identification and Control for Nonlinear Systems with Applications to Aerospace Vehicles. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405744.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Bergman, Lawrence A., Alexander F. Vakakis, and D. M. McFarland. Acquisition of a Scanning Laser Vibrometer System for Experimental Studies on Nonparametric Nonlinear System Identification and Aeroelastic Instability Suppression. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada565204.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Asari, Vijayan, Paheding Sidike, Binu Nair, Saibabu Arigela, Varun Santhaseelan, and Chen Cui. PR-433-133700-R01 Pipeline Right-of-Way Automated Threat Detection by Advanced Image Analysis. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0010891.

Full text
Abstract:
A novel algorithmic framework for the robust detection and classification of machinery threats and other potentially harmful objects intruding onto a pipeline right-of-way (ROW) is designed from three perspectives: visibility improvement, context-based segmentation, and object recognition/classification. In the first part of the framework, an adaptive image enhancement algorithm is utilized to improve the visibility of aerial imagery to aid in threat detection. In this technique, a nonlinear transfer function is developed to enhance the processing of aerial imagery with extremely non-uniform l
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Nonlinear system identificatio' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography