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In order to account for a case in which no augmented matrix is introduced, the control law is designed as a compound form of feedback and feedforward, and the gains of feedback and feedforward are solved by LMI (Linear Matrix Inequalities). The strategy is applied to the anti-interference control of NSV attitudes, and the convergence of tracking errors is analyzed according to the Lyapunov method. Simulation results based on the NSV demonstrate the validity of the proposed method.<\/jats:p>","DOI":"10.3233\/ifs-151953","type":"journal-article","created":{"date-parts":[[2015,12,9]],"date-time":"2015-12-09T14:25:55Z","timestamp":1449671155000},"page":"2505-2511","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Robust adaptive fuzzy control design for nearspace vehicle"],"prefix":"10.1177","volume":"29","author":[{"given":"Nai-Bao","family":"He","sequence":"first","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"},{"name":"School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China"}]},{"given":"Qian","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Engineering, Jiangsu University of Technology, Changzhou, China"}]},{"given":"Lin","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China"}]},{"given":"Ke-Ming","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China"}]},{"given":"Chang-Sheng","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China"}]}],"member":"179","published-online":{"date-parts":[[2015,11,14]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-014-1362-1"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2011.05.001"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2012.757382"},{"key":"e_1_3_2_5_2","article-title":"Harbin Institute of Technology Press, Harbin","author":"Jiang CS","year":"2012","unstructured":"Jiang CS, Wu QX, Fei SM2012Harbin Institute of Technology Press, HarbinModern Nonlinear Robust Control System","journal-title":"Modern Nonlinear Robust Control System"},{"issue":"3","key":"e_1_3_2_6_2","first-page":"310","article-title":"The stability of a class of T-S fuzzy control system analysis and design","volume":"27","author":"Chen GY","year":"2010","unstructured":"Chen GY, Ning L, Li SY2010The stability of a class of T-S fuzzy control system analysis and designControl Theory and Application273310316","journal-title":"Control Theory and Application"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.10054"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2010.09.014"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1166\/asl.2011.1491"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2312025"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2011.08.002"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.02.053"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2014.11.010"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2181181"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2315661"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.15837\/ijccc.2009.4.2457"},{"issue":"1","key":"e_1_3_2_17_2","first-page":"36","article-title":"Sarwono, DSP implementation of combined FIR-functional link neural network for active noise control","volume":"12","author":"Yacoub RR","year":"2014","unstructured":"Yacoub RR, Riyanto T, Bambang A, Harsoyo J2014Sarwono, DSP implementation of combined FIR-functional link neural network for active noise controlInternational Journal of Artificial Intelligence1213647","journal-title":"International Journal of Artificial Intelligence"},{"key":"e_1_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Boyd S Ghaoui LE Feron E1994Linear Matrix Inequalities in System and Control Theory SIAM Philadelphia","DOI":"10.1137\/1.9781611970777"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aml.2011.05.023"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12555-009-0401-7"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2010.2096469"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.7763\/IJMO.2014.V4.348"}],"container-title":["Journal of Intelligent &amp; 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