{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:58:00Z","timestamp":1776085080897,"version":"3.50.1"},"reference-count":18,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2014,12,23]],"date-time":"2014-12-23T00:00:00Z","timestamp":1419292800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2015,7]]},"DOI":"10.1007\/s00521-014-1805-8","type":"journal-article","created":{"date-parts":[[2014,12,21]],"date-time":"2014-12-21T23:55:00Z","timestamp":1419206100000},"page":"1179-1191","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID"],"prefix":"10.1007","volume":"26","author":[{"given":"F. G.","family":"Rossomando","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C. M.","family":"Soria","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,12,23]]},"reference":[{"issue":"11","key":"1805_CR1","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1016\/S0967-0661(01)00066-1","volume":"9","author":"EJ Normey-Rico","year":"2001","unstructured":"Normey-Rico EJ, Alcal\u00e1 I, G\u00f3mez-Ortega J, Camacho EF (2001) Mobile robot path tracking using a robust PID controller. Control Eng Pract 9(11):1209\u20131214","journal-title":"Control Eng Pract"},{"key":"1805_CR2","doi-asserted-by":"crossref","unstructured":"Padhy PK, Sasaki T, Nakamura S, Hashimoto H (2010) Modelling and position control of mobile robot. Advanced motion control, 2010 11th IEEE international workshop on, pp 100\u2013105, March (2010)","DOI":"10.1109\/AMC.2010.5464018"},{"issue":"1","key":"1805_CR3","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s00521-012-1215-8","volume":"23","author":"M Esfandyari","year":"2013","unstructured":"Esfandyari M, Fanaei MA, Zohreie H (2013) Adaptive fuzzy tuning of PID controllers. J Neural Comput Appl 23(1):19\u201328","journal-title":"J Neural Comput Appl"},{"issue":"3","key":"1805_CR4","first-page":"64","volume":"29","author":"J Jin","year":"2005","unstructured":"Jin J, Su Y (2005) Improved adaptive genetic algorithm. Comput Eng Appl 29(3):64\u201370","journal-title":"Comput Eng Appl"},{"key":"1805_CR5","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/S0166-3615(03)00130-1","volume":"52","author":"R-E Precup","year":"2003","unstructured":"Precup R-E, Preitl S, Faur G (2003) PI predictive fuzzy controllers for electrical drive speed control: methods and software for stable development. Comput Ind 52:253\u2013270","journal-title":"Comput Ind"},{"key":"1805_CR6","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/S0020-0255(02)00302-X","volume":"151","author":"Y Ding","year":"2003","unstructured":"Ding Y, Ying H, Shao S (2003) Typical Takagi\u2013Sugeno PI and PD fuzzy controllers: analytical structures and stability analysis. Inf Sci 151:245\u2013262","journal-title":"Inf Sci"},{"key":"1805_CR7","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1016\/j.jprocont.2009.01.005","volume":"19","author":"KK Ahn","year":"2009","unstructured":"Ahn KK, Truong DQ (2009) Online tuning fuzzy PID controller using robust extended Kalman filter. J Process Control 19:1011\u20131023","journal-title":"J Process Control"},{"issue":"10","key":"1805_CR8","first-page":"2368","volume":"7","author":"W Lu","year":"2012","unstructured":"Lu W, Yang JH, Liu XD (2012) The PID controller based on the artificial neural network and the differential evolution algorithm. J Comput 7(10):2368\u20132375","journal-title":"J Comput"},{"key":"1805_CR9","doi-asserted-by":"crossref","unstructured":"Mahmud K (2013) Neural network based PID control analysis. In: Global high tech congress on electronics (GHTCE), 2013 IEEE, pp 141, 145, 17\u201319 Nov 2013","DOI":"10.1109\/GHTCE.2013.6767259"},{"issue":"5","key":"1805_CR10","first-page":"43","volume":"32","author":"SC Gan","year":"2005","unstructured":"Gan SC, Yang PX (2005) PID self-tuning based on fuzzy genetic algorithm. J N China Electric Power Univ 32(5):43\u201346","journal-title":"J N China Electric Power Univ"},{"key":"1805_CR11","unstructured":"Mahony TO, Downing CJ, Fatla K (2000) Genetic algorithm for PID parameter optimization: minimizing error criteria. In: Process control and instrumentation, 26\u201328 July 2000, pp 148\u2013153. University of Stracthclyde (2000)"},{"key":"1805_CR12","unstructured":"He G, Tan G (2007) An optimal nonlinear PID controller based on ant algorithm. Programmable controller & factory automation, pp 99\u2013105"},{"key":"1805_CR13","volume-title":"Swarm intelligence","author":"J Kennedy","year":"2001","unstructured":"Kennedy J, Eberhart RC (2001) Swarm intelligence. Morgan Kaufmann Publishers, Los Altos"},{"key":"1805_CR14","doi-asserted-by":"crossref","unstructured":"Gaing ZL (2004) A particle swarm optimization approach for optimum design of PID Controller in AVR system. IEEE Trans Energy Convers 19(2):384\u2013391","DOI":"10.1109\/TEC.2003.821821"},{"key":"1805_CR15","doi-asserted-by":"crossref","unstructured":"Shi Y, Eberhart R (1998) A modified particle swarm optimizer. In: Proceedings IEEE international conference evolution computer, Anchorage, AK, pp 69\u201373","DOI":"10.1109\/ICEC.1998.699146"},{"issue":"10","key":"1805_CR16","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1016\/j.engappai.2013.08.008","volume":"26","author":"FG Rossomando","year":"2013","unstructured":"Rossomando FG, Soria C, Carelli R (2013) Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties. Eng Appl Artif Intell 26(10):2251\u20132259","journal-title":"Eng Appl Artif Intell"},{"key":"1805_CR17","doi-asserted-by":"crossref","unstructured":"Li Y, Wang Z, Zhu L (2010) Adaptive neural network PID sliding mode dynamic control of nonholonomic mobile robot. In: IEEE international conference on information and automation (ICIA), pp 753\u2013757","DOI":"10.1109\/ICINFA.2010.5512467"},{"key":"1805_CR18","doi-asserted-by":"crossref","unstructured":"Carelli, R. and De La Cruz C. Dynamic Modeling and Centralized Formation Control of Mobile Robots. In: 32nd Annual conference of the IEEE industrial electronics society IECON, Paris (2006)","DOI":"10.1109\/IECON.2006.347299"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1805-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1805-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1805-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,18]],"date-time":"2019-08-18T13:40:53Z","timestamp":1566135653000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1805-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12,23]]},"references-count":18,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,7]]}},"alternative-id":["1805"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1805-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12,23]]}}}