{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T14:25:54Z","timestamp":1725978354311},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319911915"},{"type":"electronic","value":"9783319911922"}],"license":[{"start":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T00:00:00Z","timestamp":1526515200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-319-91192-2_16","type":"book-chapter","created":{"date-parts":[[2018,5,16]],"date-time":"2018-05-16T13:45:41Z","timestamp":1526478341000},"page":"144-154","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An Input to State Stability Approach for Evaluation of Nonlinear Control Loops with Linear Plant Model"],"prefix":"10.1007","author":[{"given":"Peter","family":"Benes","sequence":"first","affiliation":[]},{"given":"Ivo","family":"Bukovsky","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,5,17]]},"reference":[{"key":"16_CR1","doi-asserted-by":"crossref","unstructured":"Benes, P.M., Bukovsky, I.: Neural network approach to hoist deceleration control. In: 2014 International Joint Conference on Neural Networks (IJCNN), pp. 1864\u20131869 (2014)","DOI":"10.1109\/IJCNN.2014.6889831"},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Benes, P.M., Erben, M., Vesely, M., Liska, O., Bukovsky, I.: HONU and supervised learning algorithms in adaptive feedback control. In: Applied Artificial Higher Order Neural Networks for Control and Recognition, IGI Global, pp. 35\u201360 (2016)","DOI":"10.4018\/978-1-5225-0063-6.ch002"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Benes, P.M., Bukovsky, I., Cejnek, M., Kalivoda, J.: Neural network approach to railway stand lateral skew control. In: Computer Science & Information Technology (CS& IT), Sydney, Australia, vol. 4, pp. 327\u2013339 (2014)","DOI":"10.5121\/csit.2014.4228"},{"key":"16_CR4","first-page":"275","volume-title":"Advances in Intelligent Systems and Computing","author":"Ivo Bukovsky","year":"2015","unstructured":"Bukovsky, I., Benes, P., Slama, M.: Laboratory systems control with adaptively tuned higher order neural units. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Prokopova, Z., Silhavy, P. (eds.) Intelligent Systems in Cybernetics and Automation Theory, pp. 275\u2013284. Springer International Publishing (2015)"},{"key":"16_CR5","series-title":"Advances in Intelligent Systems and Computing","volume-title":"Intelligent Systems in Cybernetics and Automation Theory","year":"2015","unstructured":"Benes, P., Bukovsky, I.: On the intrinsic relation between linear dynamical systems and higher order neural units. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Prokopova, Z., Silhavy, P. (eds.) Intelligent Systems in Cybernetics and Automation Theory. Springer International Publishing (2016)"},{"issue":"4","key":"16_CR6","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1016\/j.asoc.2006.01.003","volume":"7","author":"RN Yadav","year":"2007","unstructured":"Yadav, R.N., Kalra, P.K., John, J.: Time series prediction with single multiplicative neuron model. Appl. Soft Comput. 7(4), 1157\u20131163 (2007)","journal-title":"Appl. Soft Comput."},{"issue":"9","key":"16_CR7","doi-asserted-by":"publisher","first-page":"1494","DOI":"10.1109\/TNN.2011.2161330","volume":"22","author":"H Zhao","year":"2011","unstructured":"Zhao, H., Zeng, X., He, Z.: Low-complexity nonlinear adaptive filter based on a pipelined bilinear recurrent neural network. IEEE Trans. Neural Netw. 22(9), 1494\u20131507 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"10","key":"16_CR8","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1016\/j.neunet.2009.05.010","volume":"22","author":"H Zhao","year":"2009","unstructured":"Zhao, H., Zhang, J.: A novel nonlinear adaptive filter using a pipelined second-order Volterra recurrent neural network. Neural Netw. 22(10), 1471\u20131483 (2009)","journal-title":"Neural Netw."},{"issue":"9","key":"16_CR9","doi-asserted-by":"crossref","first-page":"2022","DOI":"10.1109\/TNNLS.2016.2572310","volume":"28","author":"I Bukovsky","year":"2017","unstructured":"Bukovsky, I., Homma, N.: An approach to stable gradient-descent adaptation of higher order neural units. IEEE Trans. Neural Netw. Learn. Syst. 28(9), 2022\u20132034 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"12","key":"16_CR10","doi-asserted-by":"publisher","first-page":"2250","DOI":"10.1109\/TAC.2003.820158","volume":"48","author":"NE Barabanov","year":"2003","unstructured":"Barabanov, N.E., Prokhorov, D.V.: A new method for stability analysis of nonlinear discrete-time systems. IEEE Trans. Autom. Control 48(12), 2250\u20132255 (2003)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"2","key":"16_CR11","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1016\/j.nonrwa.2009.01.008","volume":"11","author":"W Zhao","year":"2010","unstructured":"Zhao, W., Zhu, Q.: New results of global robust exponential stability of neural networks with delays. Nonlinear Anal. Real World Appl. 11(2), 1190\u20131197 (2010)","journal-title":"Nonlinear Anal. Real World Appl."},{"issue":"7","key":"16_CR12","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1109\/TCSI.2002.800842","volume":"49","author":"X Liao","year":"2002","unstructured":"Liao, X., Chen, G., Sanchez, E.N.: LMI-based approach for asymptotically stability analysis of delayed neural networks. IEEE Trans. Circ. Syst. Fundam. Theory Appl. 49(7), 1033\u20131039 (2002)","journal-title":"IEEE Trans. Circ. Syst. Fundam. Theory Appl."},{"issue":"10","key":"16_CR13","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1016\/j.neunet.2003.08.001","volume":"16","author":"X Liao","year":"2003","unstructured":"Liao, X., Chen, G., Sanchez, E.N.: Delay-dependent exponential stability analysis of delayed neural networks: an LMI approach. Neural Netw. 16(10), 1401\u20131402 (2003)","journal-title":"Neural Netw."},{"issue":"1","key":"16_CR14","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1137\/0138016","volume":"38","author":"Y Yasuda","year":"1980","unstructured":"Yasuda, Y., Ito, H., Ishizu, H.: On the input-output stability of linear time-varying systems. SIAM J. Appl. Math. 38(1), 175\u2013188 (1980)","journal-title":"SIAM J. Appl. Math."},{"issue":"17","key":"16_CR15","doi-asserted-by":"publisher","first-page":"2601","DOI":"10.1049\/iet-cta.2012.0458","volume":"6","author":"Z Li","year":"2012","unstructured":"Li, Z., Fei, Z., Gao, H.: Stability and stabilisation of Markovian jump systems with time-varying delay: an input-output approach. IET Control Theory Appl. 6(17), 2601\u20132610 (2012)","journal-title":"IET Control Theory Appl."},{"issue":"6","key":"16_CR16","doi-asserted-by":"publisher","first-page":"1609","DOI":"10.1109\/TAC.2012.2231611","volume":"58","author":"M Lazar","year":"2013","unstructured":"Lazar, M., Heemals, W.P.M.H., Teel, A.R.: Further input-to-state stability subtleties for discrete-time systems. IEEE Trans. Autom. Control 58(6), 1609\u20131613 (2013)","journal-title":"IEEE Trans. Autom. Control"},{"key":"16_CR17","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/978-3-540-77653-6_3","volume-title":"Nonlinear and Optimal Control Theory","author":"Eduardo D. Sontag","year":"2008","unstructured":"Sontag, E.D.: Input to state stability: basic concepts and results. In: Nonlinear and Optimal Control Theory, vol. 1932, pp. 163\u2013220. Springer, Heidelberg (2008)"},{"issue":"6","key":"16_CR18","doi-asserted-by":"publisher","first-page":"1082","DOI":"10.1109\/9.863594","volume":"45","author":"A Angeli","year":"2000","unstructured":"Angeli, A., Sontag, E.D., Wang, Y.: A characterization of integral input-to-state stability. IEEE Trans. Autom. Control 45(6), 1082\u20131097 (2000)","journal-title":"IEEE Trans. Autom. Control"},{"issue":"6","key":"16_CR19","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1016\/S0005-1098(01)00028-0","volume":"37","author":"ZP Jiang","year":"2001","unstructured":"Jiang, Z.P., Wang, Y.: Input-to-state stability for discrete-time nonlinear systems. Automatica 37(6), 857\u2013869 (2001)","journal-title":"Automatica"},{"issue":"1","key":"16_CR20","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s11571-013-9258-9","volume":"8","author":"Z Yang","year":"2014","unstructured":"Yang, Z., Zhou, W., Huang, T.: Exponential input-to-state stability of recurrent neural networks with multiple time-varying delays. Cogn. Neurodyn. 8(1), 47\u201354 (2014)","journal-title":"Cogn. Neurodyn."},{"key":"16_CR21","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/s11071-010-9901-5","volume":"65","author":"CK Ahn","year":"2011","unstructured":"Ahn, C.K.: Robust stability of recurrent neural networks with ISS learning algorithm. Nonlinear Dyn. 65, 413\u2013419 (2011)","journal-title":"Nonlinear Dyn."},{"issue":"6","key":"16_CR22","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1007\/s00521-012-0882-9","volume":"22","author":"S Zhu","year":"2013","unstructured":"Zhu, S., Shen, Y.: Two algebraic criteria for input-to-state stability of recurrent neural networks with time-varying delays. Neural Comput. Appl. 22(6), 1163\u20131169 (2013)","journal-title":"Neural Comput. Appl."}],"container-title":["Advances in Intelligent Systems and Computing","Cybernetics and Algorithms in Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-91192-2_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,1]],"date-time":"2020-11-01T21:24:15Z","timestamp":1604265855000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-91192-2_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,17]]},"ISBN":["9783319911915","9783319911922"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-91192-2_16","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2018,5,17]]}}}