Relevant bibliographies by topics / Unknown Input Observer

Contents

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

Academic literature on the topic 'Unknown Input Observer'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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 'Unknown Input Observer.'

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 "Unknown Input Observer"

1

Messaoud, Ramzi Ben, and Mekki Ksouri. "Local nonlinear unknown input observer." Journal of Control Theory and Applications 11, no. 3 (July 4, 2013): 517–20. http://dx.doi.org/10.1007/s11768-013-2122-y.

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

Marx, Benoît, Dalil Ichalal, José Ragot, Didier Maquin, and Saïd Mammar. "Unknown input observer for LPV systems." Automatica 100 (February 2019): 67–74. http://dx.doi.org/10.1016/j.automatica.2018.10.054.

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

Zhu, Fanglai, Yuhang Fu, and Thach Ngoc Dinh. "Asymptotic convergence unknown input observer design via interval observer." Automatica 147 (January 2023): 110744. http://dx.doi.org/10.1016/j.automatica.2022.110744.

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

Chen, Maoyin, and Wang Min. "Unknown input observer based chaotic secure communication." Physics Letters A 372, no. 10 (March 2008): 1595–600. http://dx.doi.org/10.1016/j.physleta.2007.10.012.

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

SCHREIER, G., B. GADDOUNA, and J. RAGOT. "Matrices computation of an unknown-input observer." International Journal of Systems Science 26, no. 4 (April 1995): 991–98. http://dx.doi.org/10.1080/00207729508929082.

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

PARK, YOUNGJIN, and JEFFREY L. STEIN. "Closed-loop, state and input observer for systems with unknown inputs." International Journal of Control 48, no. 3 (September 1988): 1121–36. http://dx.doi.org/10.1080/00207178808906239.

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

Cao, Jun-Yi, Bing-Gang Cao ., and Zhong Liu . "Driving Resistance Estimation Based on Unknown Input Observer." Journal of Applied Sciences 6, no. 4 (February 1, 2006): 888–91. http://dx.doi.org/10.3923/jas.2006.888.891.

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

Cheviron, T., F. Plestan, and H. Chriette. "NONLINEAR UNKNOWN INPUT OBSERVER IN A STOCHASTIC FRAMEWORK." IFAC Proceedings Volumes 40, no. 12 (2007): 651–56. http://dx.doi.org/10.3182/20070822-3-za-2920.00107.

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

Youssfi, Naoufal El, Mohammed Oudghiri, and Rachid El Bachtiri. "Vehicle lateral dynamics estimation using unknown input observer." Procedia Computer Science 148 (2019): 502–11. http://dx.doi.org/10.1016/j.procs.2019.01.063.

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

Zheng, Gang, Francisco Javier Bejarano, Wilfrid Perruquetti, and Jean-Pierre Richard. "Unknown input observer for linear time-delay systems." Automatica 61 (November 2015): 35–43. http://dx.doi.org/10.1016/j.automatica.2015.07.029.

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

Dissertations / Theses on the topic "Unknown Input Observer"

1

Sun, Xiaoyu. "Unknown input observer approaches to robust fault diagnosis." Thesis, University of Hull, 2013. http://hydra.hull.ac.uk/resources/hull:8021.

Full text
Abstract:
This thesis focuses on the development of the model-based fault detection and isolation /fault detection and diagnosis (FDI/FDD) techniques using the unknown input observer (UIO) methodology. Using the UI de-coupling philosophy to tackle the robustness issue, a set of novel fault estimation (FE)-oriented UIO approaches are developed based on the classical residual generation-oriented UIO approach considering the time derivative characteristics of various faults. The main developments proposed are: - Implement the residual-based UIO design on a high fidelity commercial aircraft benchmark model to detect and isolate the elevator sensor runaway fault. The FDI design performance is validated using a functional engineering simulation (FES) system environment provided through the activity of an EU FP7 project Advanced Fault Diagnosis for Safer Flight Guidance and Control (ADDSAFE). - Propose a linear time-invariant (LTI) model-based robust fast adaptive fault estimator (RFAFE) with UI de-coupling to estimate the aircraft elevator oscillatory faults considered as actuator faults. - Propose a UI-proportional integral observer (UI-PIO) to estimate actuator multiplicative faults based on an LTI model with UI de-coupling and with added H∞ optimisation to reduce the effects of the sensor noise. This is applied to an example on a hydraulic leakage fault (multiplicative fault) in a wind turbine pitch actuator system, assuming that thefirst derivative of the fault is zero. - Develop an UI–proportional multiple integral observer (UI-PMIO) to estimate the system states and faults simultaneously with the UI acting on the system states. The UI-PMIO leads to a relaxed condition of requiring that the first time derivative of the fault is zero instead of requiring that the finite time fault derivative is zero or bounded. - Propose a novel actuator fault and state estimation methodology, the UI–proportional multiple integral and derivative observer (UI-PMIDO), inspired by both of the RFAFE and UI-PMIO designs. This leads to an observer with the comprehensive feature of estimating faults with bounded finite time derivatives and ensuring fast FE tracking response. - Extend the UI-PMIDO theory based on LTI modelling to a linear parameter varying (LPV) model approach for FE design. A nonlinear two-link manipulator example is used to illustrate the power of this method.
APA, Harvard, Vancouver, ISO, and other styles
2

Cambron, Daniel. "A Lithium Battery Current Estimation Technique Using an Unknown Input Observer." UKnowledge, 2016. http://uknowledge.uky.edu/ece_etds/84.

Full text
Abstract:
Current consumption measurements are useful in a wide variety of applications, including power monitoring and fault detection within a lithium battery management system (BMS). This measurement is typically taken using either a shunt resistor or a Hall-effect current transducer. Although both methods have achieved accurate current measurements, shunt resistors have inherent power loss and often require isolation circuitry, and Hall-effect sensors are generally expensive. This work explores a novel alternative to sensing battery current by measuring terminal voltages and cell temperatures and using an unknown input observer (UIO) to estimate the battery current. An accurate model of a LiFePO4 cell is created and is then used to characterize a model of the proposed current estimation technique. Finally, the current estimation technique is implemented in hardware and tested in an online BMS environment. Results show that the current estimation technique is sufficiently accurate for a variety of applications including fault detection and power profiling.
APA, Harvard, Vancouver, ISO, and other styles
3

PEDONE, Salvatore. "Robust Control of Nonlinear Systems: An Unknown Input Observer Based Approach." Doctoral thesis, Università degli Studi di Palermo, 2023. https://hdl.handle.net/10447/580735.

Full text
Abstract:
Questa tesi propone un controllore robusto per sistemi non lineari tramite l'utilizzo di un osservatore ad ingressi sconosciuti. Attraverso un'opportuna riformulazione dinamica del modello, un generico sistema non lineare viene descritto come la somma di due funzioni, la prima lineare e nota e la seconda altamente non lineare e sconosciuta, derivante dalla conoscenza imperfetta del modello dinamico, dei parametri, o di eventuali disturbi esogeni agenti sul sistema etc., modellabili come perturbazioni (disturbi) della funzione lineare. Questa semplificazione consente una vantaggiosa descrizione dinamica del sistema in forma matriciale. Le informazioni necessarie sono stimate attraverso l'utilizzo di un osservatore ad ingressi sconosciuti a tempo discreto in grado di stimare asintoticamente sia lo stato del sistema che il disturbo al solo costo di qualche ritardo campionario. Infine, è realizzato un controllore che attivamente compensa il disturbo stimato e forza asintoticamente lo stato del sistema a quello desiderato. La tesi presenta inoltre la prova di stabilità in anello chiuso del metodo proposto. La soluzione proposta non necessita di informazioni a priori sulle dimensioni del disturbo, variabili aggiuntive per modellare le incertezze o parametri dell'osservatore da regolare. L' efficacia e la superiorità rispetto ai metodi esistenti è validata in teoria e in pratica in due modi diversi contesti: auto da corsa a guida autonoma e soft-robot articolati.
This thesis addresses the robust control of complex nonlinear system via an Unknown Input Observer based approach. More specifically, through a suitable model dynamic reformulation, a generic nonlinear system has been described as the sum of two functions, the first linear and known and the second highly nonlinear and unknown, resulting from imperfect knowledge of system model parameters, exogenous disturbances and so on, which can be seen as a perturbation (disturbance) of the linear function. This simplification allows an advantageous system dynamic description in matrix form. Subsequently, a discrete-time Delayed Unknown Input Observer has been designed to asymptotically estimate both system state and disturbance at the only cost of a few sample delay. Finally, a controller actively compensates the estimated disturbance and asymptotically steers the system state to the desired one. This thesis also presents a closed-loop stability proof of the method. The proposed solution advantageously needs no a-priori information about the total perturbation boundedness, additional variables to model uncertainties, or observer parameters to be tuned. Its effectiveness and superiority to existing methods are studied in theory and practice in two different contexts, i.e. self-driving racecars and articulated soft-robots.
APA, Harvard, Vancouver, ISO, and other styles
4

Yang, Hanlong. "Estimation and fault diagnostics in nonlinear and time delay systems based on unknown input observer methodology." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24368.pdf.

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

Lyubchyk, Leonid, and Galina Grinberg. "Inverse Dynamic Models in Chaotic Systems Identification and Control Problems." Thesis, Ternopil National Economic University, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/36824.

Full text
Abstract:
Inverse dynamic models approach for chaotic system synchronization in the presence of uncertain parameters is considered. The problem is identifying and compensating unknown state-dependent parametric disturbance describing an unmodelled dynamics that generates chaotic motion. Based on the method of inverse model control, disturbance observers and compensators are synthesized. A control law is proposed that ensures the stabilization of chaotic system movement along master reference trajectory. The results of computational simulation of controlled Rösller attractor synchronization are also presented.
APA, Harvard, Vancouver, ISO, and other styles
6

Heydari, Mahdi. "Adaptive distributed observers for a class of linear dynamical systems." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-dissertations/227.

Full text
Abstract:
The problem of distributed state estimation over a sensor network in which a set of nodes collaboratively estimates the state of continuous-time linear systems is considered. Distributed estimation strategies improve estimation and robustness of the sensors to environmental obstacles and sensor failures in a sensor network. In particular, this dissertation focuses on the benefits of weight adaptation of the interconnection gains in distributed Kalman filters, distributed unknown input observers, and distributed functional observers. To this end, an adaptation strategy is proposed with the adaptive laws derived via a Lyapunov-redesign approach. The justification for the gain adaptation stems from a desire to adapt the pairwise difference of estimates as a function of their agreement, thereby enforcing an interconnection-dependent gain. In the proposed scheme, an adaptive gain for each pairwise difference of the interconnection terms is used in order to address edge-dependent differences in the estimates. Accounting for node-specific differences, a special case of the scheme is presented where it uses a single adaptive gain in each node estimate and which uniformly penalizes all pairwise differences of estimates in the interconnection term. In the case of distributed Kalman filters, the filter gains can be designed either by standard Kalman or Luenberger observers to construct the adaptive distributed Kalman filter or adaptive distributed Luenberger observer. Stability of the schemes has been shown and it is independent of the graph topology and therefore the schemes are applicable to both directed and undirected graphs. The proposed algorithms offer a significant reduction in communication costs associated with information flow by the nodes compared to other distributed Kalman filters. Finally, numerical studies are presented to illustrate the performance and effectiveness of the proposed adaptive distributed Kalman filters, adaptive distributed unknown input observers, and adaptive distributed functional observers.
APA, Harvard, Vancouver, ISO, and other styles
7

Xiong, Yi. "Robust fault diagnosis in linear and nonlinear systems based on unknown input, and sliding mode functional observer methodologies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ61696.pdf.

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

Su, Jinya. "Fault estimation algorithms : design and verification." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/23231.

Full text
Abstract:
The research in this thesis is undertaken by observing that modern systems are becoming more and more complex and safety-critical due to the increasing requirements on system smartness and autonomy, and as a result health monitoring system needs to be developed to meet the requirements on system safety and reliability. The state-of-the-art approaches to monitoring system status are model based Fault Diagnosis (FD) systems, which can fuse the advantages of system physical modelling and sensors' characteristics. A number of model based FD approaches have been proposed. The conventional residual based approaches by monitoring system output estimation errors, however, may have certain limitations such as complex diagnosis logic for fault isolation, less sensitiveness to system faults and high computation load. More importantly, little attention has been paid to the problem of fault diagnosis system verification which answers the question that under what condition (i.e., level of uncertainties) a fault diagnosis system is valid. To this end, this thesis investigates the design and verification of fault diagnosis algorithms. It first highlights the differences between two popular FD approaches (i.e., residual based and fault estimation based) through a case study. On this basis, a set of uncertainty estimation algorithms are proposed to generate fault estimates according to different specifications after interpreting the FD problem as an uncertainty estimation problem. Then FD algorithm verification and threshold selection are investigated considering that there are always some mismatches between the real plant and the mathematical model used for FD observer design. Reachability analysis is drawn to evaluate the effect of uncertainties and faults such that it can be quantitatively verified under what condition a FD algorithm is valid. First the proposed fault estimation algorithms in this thesis, on the one hand, extend the existing approaches by pooling the available prior information such that performance can be enhanced, and on the other hand relax the existence condition and reduce the computation load by exploiting the reduced order observer structure. Second, the proposed framework for fault diagnosis system verification bridges the gap between academia and industry since on the one hand a given FD algorithm can be verified under what condition it is effective, and on the other hand different FD algorithms can be compared and selected for different application scenarios. It should be highlighted that although the algorithm design and verification are for fault diagnosis systems, they can also be applied for other systems such as disturbance rejection control system among many others.
APA, Harvard, Vancouver, ISO, and other styles
9

Schaal, Peter. "Observer-based engine air charge characterisation : rapid, observer-assisted engine air charge characterisation using a dynamic dual-ramp testing method." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33247.

Full text
Abstract:
Characterisation of modern complex powertrains is a time consuming and expensive process. Little effort has been made to improve the efficiency of testing methodologies used to obtain data for this purpose. Steady-state engine testing is still regarded as the golden standard, where approximately 90% of testing time is wasted waiting for the engine to stabilize. Rapid dynamic engine testing, as a replacement for the conventional steady-state method, has the potential to significantly reduce the time required for characterisation. However, even by using state of the art measurement equipment, dynamic engine testing introduces the problem that certain variables are not directly measurable due to the excitation of the system dynamics. Consequently, it is necessary to develop methods that allow the observation of not directly measurable quantities during transient engine testing. Engine testing for the characterisation of the engine air-path is specifically affected by this problem since the air mass flow entering the cylinder is not directly measurable by any sensor during transient operation. This dissertation presents a comprehensive methodology for engine air charge characterisation using dynamic test data. An observer is developed, which allows observation of the actual air mass flow into the engine during transient operation. The observer is integrated into a dual-ramp testing procedure, which allows the elimination of unaccounted dynamic effects by averaging over the resulting hysteresis. A simulation study on a 1-D gas dynamic engine model investigates the accuracy of the developed methodology. The simulation results show a trade-off between time saving and accuracy. Experimental test result confirm a time saving of 95% compared to conventional steady-state testing and at least 65% compared to quasi steady-state testing while maintaining the accuracy and repeatability of conventional steady-state testing.
APA, Harvard, Vancouver, ISO, and other styles
10

TRUMIC, Maja. "STIFFNESS ESTIMATION AND ADAPTIVE CONTROL FOR SOFT ROBOTS." Doctoral thesis, Università degli Studi di Palermo, 2021. http://hdl.handle.net/10447/509120.

Full text
Abstract:
Nonostante la sorprendente crescita nello sviluppo dei robot ispirati alla natura, tra cui i cosiddetti soft robot, il potenziale di questi sistemi, che hanno intrinseche capacità di adattamento, non è ancora stato sfruttato a pieno. La ricerca ha principalmente considerato il controllo in retroazione della posizione dei giunti del robot, lasciando la gestione della cedevolezza di questi ultimi ancora in anello aperto. Peraltro, le attuali limitazioni nel processo di produzione degli attuatori a cedevolezza variabile e l'inevitabile variabilità nel tempo degli elementi elastici costitutivi, i quali sono soggetti ad usura e deformazione plastica, rendono il problema della determinazione precisa della rigidezza di giunto ancora oggi una sfida. In tale ambito, questa tesi pone l'accento sulla stima della rigidezza e sul controllo adattativo dei soft robot, considerando in primis i sistemi articolati e pilotati da attuatori a cedevolezza variabile (VSA) in configurazione antagonista. Ciò viene fatto con l'obiettivo primario di imporre simultaneamente una dinamica desiderata sia per la posizione che per la rigidezza e, conseguentemente, di migliorare la sicurezza fisica e le prestazioni di un soft robot. Basandosi sulla teoria degli osservatori ad ingresso sconosciuto (UIO), in questo lavoro vengono proposte soluzioni, invasive e non, che consentono di stimare la rigidezza nei robot con attuatori pneumatici o elettromeccanici, soluzioni che nel secondo caso vengono anche validate sperimentalmente. Oltre al vantaggio della linearità e della scalabilità, le suddette soluzioni hanno l'interessante caratteristica di non richiedere l'uso di sensori di coppia o velocità. Sfruttando così la disponibilità di una stima della rigidezza, il lavoro descrive inoltre dei metodi innovativi per il controllo robusto dei soft robot articolati, il cui schema include un compensatore adattativo e un disaccoppiatore dinamico. Detti metodi possono gestire le incertezze nella conoscenza del modello dinamico del robot e, quando il riferimento della rigidezza è costante o lentamente variabile, anche quelle relative all'attuatore pneumatico. La loro verifica è valutata attraverso delle simulazioni e, nel caso pneumatico, anche per via sperimentale. Infine, la tesi mostra come estendere le tecniche di controllo adattativo ai sistemi robotici con cedevolezza distribuita lungo l'intero corpo del robot, garantendo formalmente la convergenza del controllore. L'efficacia di questa tecnica adattativa è mostrata attraverso una estensiva simulazione.
Although there has been an astonishing increase in the development of nature-inspired robots equipped with compliant features, i.e. soft robots, their full potential has not been exploited yet. One aspect is that the soft robotics research has mainly focused on their position control only, while stiffness is managed in open loop. Moreover, due to the difficulties of achieving consistent production of the actuation systems for soft articulated robots and the time-varying nature of their internal flexible elements, which are subject to plastic deformation over time, it is currently a challenge to precisely determine the joint stiffness. In this regard, the thesis puts an emphasis on stiffness estimation and adaptive control for soft articulated robots driven by antagonistic Variable Stiffness Actuators (VSAs) with the aim to impose the desired dynamics of both position and stiffness, which would finally contribute to the overall safety and improved performance of a soft robot. By building upon Unknown Input Observer (UIO) theory, invasive and non-invasive solutions for estimation of stiffness in pneumatic and electro-mechanical actuators are proposed and in the latter case also experimentally validated. Beyond the linearity and scalability advantage, the approaches have an appealing feature that torque and velocity sensors are not needed. Once the stiffness is determined, innovative control approaches are introduced for soft articulated robots comprising an adaptive compensator and a dynamic decoupler. The solutions are able to cope with uncertainties of the robot dynamic model and, when the desired stiffness is constant or slowly-varying, also of the pneumatic actuator. Their verification is performed via simulations and then the pneumatic one is successfully tested on an experimental setup. Finally, the thesis shows via extensive simulations the effectiveness of adaptive technique applied to soft-bodied robots, previously deriving the sufficient and necessary conditions for the controller convergence.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Unknown Input Observer"

1

Chou, Howard Hao-Yuan. Fault diagnosis of a heat exchanger system using unknown input observers. Ottawa: National Library of Canada, 2000.

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

Book chapters on the topic "Unknown Input Observer"

1

Wang, Zhenhua, and Yi Shen. "Robust Residual Generation Based on Unknown Input Observer." In Studies in Systems, Decision and Control, 35–45. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6706-1_4.

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

Wang, Ligang, Yunpeng Li, Jing Na, Guanbin Gao, and Qiang Chen. "Nonlinear Servo Motion Control Based on Unknown Input Observer." In Proceedings of 2016 Chinese Intelligent Systems Conference, 541–50. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2335-4_49.

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

Saber, Fatima Ezzahra, Mohamed Ouahi, and Abdelmjid Saka. "Road Profile and Vehicle State Estimation Using Unknown Input Observer." In Lecture Notes in Mechanical Engineering, 42–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62199-5_5.

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

Youssef, T., Mohammed Chadli, Ivan Zelinka, and M. Zelmat. "Unknown Input Proportional Integral Observer Design for Chaotic TS Fuzzy Models." In Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 163–74. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00542-3_17.

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

Krstic, Miroslav, and Yang Zhu. "Delay-Adaptive Observer-Based Control for Linear Systems with Unknown Input Delays." In Lecture Notes in Control and Information Sciences, 189–216. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74628-5_7.

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

Xu, Jiakai, and Meng Zhou. "Robust Fault Estimation for Discrete-Time Multi-agent Systems with Unknown Input Observer." In Lecture Notes in Electrical Engineering, 4795–806. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8155-7_396.

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

Witczak, Piotr, Marcin Mrugalski, Krzysztof Patan, and Marcin Witczak. "A Neural-Network-Based Robust Observer for Simultaneous Unknown Input Decoupling and Fault Estimation." In Advances in Computational Intelligence, 535–48. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19258-1_44.

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

Sinha, Vikash, and Sharifuddin Mondal. "Adaptive Unknown Input Observer for Actuator Fault Detection and Isolation of PEM Fuel Cell Systems." In Lecture Notes in Mechanical Engineering, 465–73. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4018-3_43.

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

Witczak, Marcin. "Unknown Input Observers and Filters." In Lecture Notes in Electrical Engineering, 19–56. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03014-2_2.

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

Trinh, Hieu, and Tyrone Fernando. "Functional Unknown Input Observers: Further Results and Applications." In Functional Observers for Dynamical Systems, 101–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24064-5_5.

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

Conference papers on the topic "Unknown Input Observer"

1

Hui, Stefen, and Stanislaw H. Zak. "Stress estimation using unknown input observer." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6579847.

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

Lucet, E., G. Bornard, and L. Dugard. "Extended conditions for unknown input observer." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7099345.

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

Commault, C., J.-M. Dion, O. Sename, and R. Motyeian. "Unknown input observer — A structural approach." In 2001 European Control Conference (ECC). IEEE, 2001. http://dx.doi.org/10.23919/ecc.2001.7076024.

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

Alaridh, I., A. Aitouche, A. Zemouche, and B. Boulkroune. "LPV unknown input observer for vehiclelateral dynamics." In 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). IEEE, 2016. http://dx.doi.org/10.1109/sta.2016.7952099.

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

Li, Xiaohang, and Fanglai Zhu. "The design of unknown input observer based on unknown input and measurement noise compensation." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895465.

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

Romero, F., M. A. Gallegos, R. Alvarez, and E. G. Rocha. "Unknown Input Observer for Induction Motors: Experimental Evaluation." In 2007 4th International Conference on Electrical and Electronics Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iceee.2007.4345015.

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

Boulkroune, Boulaid, Issam Djemili, Abdel Aitouche, and Vincent Cocquempot. "Nonlinear unknown input observer design for diesel engines." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6579979.

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

Munoz, Diego A., C. Jenny L. Diaz, and Hernan Alvarez. "Unknown input observer to estimate slurry rheological properties." In 2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC). IEEE, 2017. http://dx.doi.org/10.1109/ccac.2017.8276418.

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

Sedighi, T., A. J. Koshkouei, and K. J. Burnham. "Nonlinear Unknown Input Observer Design for Nonlinear Systems." In UKACC International Conference on CONTROL 2010. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/ic.2010.0408.

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

Wang, Yan, David M. Bevly, and Shih-ken Chen. "Longitudinal Tire Force Estimation With Unknown Input Observer." In ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. ASME, 2012. http://dx.doi.org/10.1115/dscc2012-movic2012-8710.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Unknown Input Observer' for particular source types:
Journal articles Dissertations / Theses
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