{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:47:10Z","timestamp":1781110030336,"version":"3.54.1"},"reference-count":5,"publisher":"Cambridge University Press (CUP)","issue":"5","license":[{"start":{"date-parts":[[2009,3,9]],"date-time":"2009-03-09T00:00:00Z","timestamp":1236556800000},"content-version":"unspecified","delay-in-days":4938,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[1995,9]]},"abstract":"<jats:title>Summary<\/jats:title><jats:p>This paper presents a neural network based control strategy for the trajectory control of robot manipulators. The neural network learns the inverse dynamics of a robot manipulator without any a priori knowledge of the manipulator inertial parameters nor any a priori knowledge of the equation of dynamics. A two step feedback-error-learning process is proposed. Strategies for selection of the training trajectories and difficulties with on-line training are discussed.<\/jats:p>","DOI":"10.1017\/s0263574700018282","type":"journal-article","created":{"date-parts":[[2009,3,10]],"date-time":"2009-03-10T13:12:07Z","timestamp":1236690727000},"page":"449-459","source":"Crossref","is-referenced-by-count":10,"title":["Trajectory control of robotic manipulators by using a feedback-error-learning neural network"],"prefix":"10.1017","volume":"13","author":[{"given":"Zaryab","family":"Hamavand","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Howard M.","family":"Schwartz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2009,3,9]]},"reference":[{"key":"S0263574700018282_ref003","doi-asserted-by":"publisher","DOI":"10.1109\/37.247999"},{"key":"S0263574700018282_ref002","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(88)90030-5"},{"key":"S0263574700018282_ref004","unstructured":"4. Miller W.T. , Glanz F.H. and Kraft L.G. , \u2018CMAC: An associative neural network alternative to backpropagation\u2019 Proc. IEEE 78, No. 10, 1561\u20131567 (1990)."},{"key":"S0263574700018282_ref001","doi-asserted-by":"publisher","DOI":"10.1017\/S026357470001701X"},{"key":"S0263574700018282_ref005","doi-asserted-by":"publisher","DOI":"10.1109\/41.87587"}],"container-title":["Robotica"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0263574700018282","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,13]],"date-time":"2019-05-13T20:55:15Z","timestamp":1557780915000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0263574700018282\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1995,9]]},"references-count":5,"journal-issue":{"issue":"5","published-print":{"date-parts":[[1995,9]]}},"alternative-id":["S0263574700018282"],"URL":"https:\/\/doi.org\/10.1017\/s0263574700018282","relation":{},"ISSN":["0263-5747","1469-8668"],"issn-type":[{"value":"0263-5747","type":"print"},{"value":"1469-8668","type":"electronic"}],"subject":[],"published":{"date-parts":[[1995,9]]}}}