MétaCan
Menu
Back to cohort
Record W2151505092 · doi:10.2514/1.57585

Direct Fuzzy Adaptive Control of a Manipulator with Elastic Joints

2012· article· en· W2151505092 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Guidance Control and Dynamics · 2012
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsAerospaceRoboticsAdaptive controlEngineeringAutomationComputer scienceArtificial intelligenceControl (management)Control engineeringMechanical engineeringRobotAerospace engineering

Abstract

fetched live from OpenAlex

No AccessEngineering NoteDirect Fuzzy Adaptive Control of a Manipulator with Elastic JointsSteve Ulrich and Jurek Z. SasiadekSteve UlrichDepartment of Mechanical and Aerospace Engineering, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Jurek Z. SasiadekDepartment of Mechanical and Aerospace Engineering, Carleton University, Ottawa, Ontario K1S 5B6, CanadaPublished Online:30 Jan 2013https://doi.org/10.2514/1.57585SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations About References [1] Khorasani K., "Nonlinear Feedback Control of Flexible Joint Manipulators: A Single Link Case Study," IEEE Transactions on Automatic Control, Vol. 35, No. 10, 1990, pp. 1145–1149. doi: https://doi.org/10.1109/9.58558 IETAA9 0018-9286 CrossrefGoogle Scholar[2] Palli G., Melchiorri C. and De Luca A., "On the Feedback Linearization of Robots with Variable Joint Stiffness," IEEE International Conference on Robotics and Automation, Inst. of Electrical and Electronics Engineersy, Piscataway, NJ, May 2008, pp. 1753–1759. Google Scholar[3] Egardt B., Stability of Adaptive Controllers, Springler–Verlag, Berlin, 1979, pp. 1–8. CrossrefGoogle Scholar[4] Cao Y. and de Silva C. W., "Dynamic Modeling and Neural-Network Adaptive Control of a Deployable Manipulator System," Journal of Guidance, Control, and Dynamics, Vol. 29, No. 1, 2006, pp. 192–194. doi: https://doi.org/10.2514/1.11032 JGCDDT 0162-3192 LinkGoogle Scholar[5] Kaufman H., Barkana I. and Sobel K., Direct Adaptive Control Algorithms: Theory and Applications, 2nd ed., Communications and Control Engineering Series, Springer, New York, 1997, pp. 5–12. Google Scholar[6] Ulrich S., Sasiadek J. Z. and Barkana I., "Modeling and Direct Adaptive Control of a Flexible-Joint Manipulator," Journal of Guidance, Control, and Dynamics, Vol. 35, No. 1, 2012, pp. 25–39. doi: https://doi.org/10.2514/1.54083 JGCDDT 0162-3192 LinkGoogle Scholar[7] Goulet J. F., de Silva C. W., Modi V. J. and Misra A. K., "Hierarchical Control of a Space-Based Deployable Manipulator Using Fuzzy Logic," Journal of Guidance, Control, and Dynamics, Vol. 24, No. 2, 2001, pp. 395–405. doi: https://doi.org/10.2514/2.4724 JGCDDT 0162-3192 LinkGoogle Scholar[8] Ahmad M. A., Raja Ismail R. M. T., Ramli M. S., Zawawi M. A., Hambali N. and Abd Ghani N. M., "Vibration Control of Flexible Joint Manipulator using Input Shaping with PD-type Fuzzy Logic Control," IEEE International Symposium on Industrial Electronics, Inst. of Electrical and Electronics Engineers, Piscataway, NJ, Oct. 2009, pp. 1184–1189. Google Scholar[9] Park C.-W. and Cho Y. W., "Adaptive Tracking Control of Flexible Joint Manipulator Based on Fuzzy Model Reference Approach," IEEE Proceedings-Control Theory and Applications, Vol. 150, No. 2, 2003, pp. 198–204. doi: https://doi.org/10.1049/ip-cta:20030017 ICTAEX 1350-2379 CrossrefGoogle Scholar[10] Weiming T., Guanrong C. and Rongde L., "A Modified Fuzzy PI Controller for a Flexible-Joint Robot Arm with Uncertainties," Fuzzy Sets and Systems, Vol. 118, No. 1, 2001, pp. 109–119. doi: https://doi.org/10.1016/S0165-0114(98)00360-1 FSSYD8 0165-0114 CrossrefGoogle Scholar[11] Spong M. W., "Modeling and Control of Elastic Joint Robots," Journal of Dynamic Systems, Measurement and Control, Vol. 109, No. 4, 1987, pp. 310–319. doi: https://doi.org/10.1115/1.3143860 JDSMAA 0022-0434 CrossrefGoogle Scholar[12] Spong M. W., Hutchinson S. and Vidyasagar M., Robot Modeling and Control, Wiley, New York, 2006, p. 85. Google Scholar[13] Ott C., Cartesian Impedance Control of Redundant and Flexible-Joint Robots, Springer Tracts in Advanced Robotics, Vol. 49, Springer–Verlag, Berlin, 2008, pp. 71–72. Google Scholar[14] Khalil H. K., Nonlinear Systems, 2nd ed., Prentice–Hall, Upper Saddle River, NJ, 1996, pp. 423–459. Google Scholar[15] Green A. and Sasiadek J. Z., "Adaptive Control of a Flexible Robot Using Fuzzy Logic," Journal of Guidance, Control, and Dynamics, Vol. 28, No. 1, 2005, pp. 36–42. doi: https://doi.org/10.2514/1.6376 JGCDDT 0162-3192 LinkGoogle Scholar[16] Passino K. M. and Yurkovich S., Fuzzy Control, Addison–Wesley, Menlo Park, CA, 1998, pp. 63–64, 77–78. Google Scholar[17] Banerjee A. K. and Singhose W., "Command Shaping in Tracking Control of a Two-Link Flexible Robot," Journal of Guidance, Control, and Dynamics, Vol. 21, No. 6, 1998, pp. 1012–1015. doi: https://doi.org/10.2514/2.4343 JGCDDT 0162-3192 LinkGoogle Scholar[18] Tomei P., "A Simple PD Controller for Robots with Elastic Joints," IEEE Transactions on Automatic Control, Vol. 36, No. 10, 1997, pp. 1208–1213. doi: https://doi.org/10.1109/9.90238 IETAA9 0018-9286 CrossrefGoogle Scholar[19] Spong M. W., "Adaptive Control of Flexible Joint Manipulators: Comments on Two Papers," Automatica, Vol. 31, No. 4, 1995, pp. 585–590. doi: https://doi.org/10.1016/0005-1098(95)98487-Q ATCAA9 0005-1098 CrossrefGoogle Scholar[20] Ulrich S. and Sasiadek J. Z., "Control Strategies for Flexible Joint Manipulators," AIAA Guidance, Navigation, and Control Conference, Portland, OR, Aug. 2011; also AIAA Paper 2011-6297. LinkGoogle Scholar Previous article Next article

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.201
Teacher spread0.193 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it