{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T17:22:05Z","timestamp":1742923325063,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030228071"},{"type":"electronic","value":"9783030228088"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-22808-8_13","type":"book-chapter","created":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T00:02:30Z","timestamp":1561507350000},"page":"120-128","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neurodynamics-Based Receding Horizon Control of an HVAC System"],"prefix":"10.1007","author":[{"given":"Jiasen","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenshen","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,26]]},"reference":[{"key":"13_CR1","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.buildenv.2013.11.016","volume":"72","author":"A Afram","year":"2014","unstructured":"Afram, A., Janabi-Sharifi, F.: Theory and applications of HVAC control systems - a review of model predictive control (MPC). Build. Environ. 72, 343\u2013355 (2014)","journal-title":"Build. Environ."},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.enbuild.2017.02.012","volume":"141","author":"A Afram","year":"2017","unstructured":"Afram, A., Janabi-Sharifi, F., Fung, A.S., Raahemifar, K.: Artificial neural network (ANN) based model predictive control (MPC) and optimization of HVAC systems: a state of the art review and case study of a residential HVAC system. Energy Build. 141, 96\u2013113 (2017)","journal-title":"Energy Build."},{"issue":"1","key":"13_CR3","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1109\/JPROC.2011.2161242","volume":"100","author":"A Aswani","year":"2012","unstructured":"Aswani, A., Master, N., Taneja, J., Culler, D., Tomlin, C.: Reducing transient and steady state electricity consumption in HVAC using learning-based model-predictive control. Proc. IEEE 100(1), 240\u2013253 (2012)","journal-title":"Proc. IEEE"},{"issue":"4","key":"13_CR4","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1137\/S1052623497325107","volume":"9","author":"R Byrd","year":"1999","unstructured":"Byrd, R., Hribar, M., Nocedal, J.: An interior point algorithm for large-scale nonlinear programming. SIAM J. Optim. 9(4), 877\u2013900 (1999)","journal-title":"SIAM J. Optim."},{"issue":"11","key":"13_CR5","doi-asserted-by":"publisher","first-page":"2327","DOI":"10.1016\/j.applthermaleng.2008.11.019","volume":"29","author":"KF Fong","year":"2009","unstructured":"Fong, K.F., Hanby, V.I., Chow, T.T.: System optimization for HVAC energy management using the robust evolutionary algorithm. Appl. Therm. Eng. 29(11), 2327\u20132334 (2009)","journal-title":"Appl. Therm. Eng."},{"issue":"11","key":"13_CR6","doi-asserted-by":"publisher","first-page":"3494","DOI":"10.1016\/j.apenergy.2010.05.002","volume":"87","author":"KF Fong","year":"2010","unstructured":"Fong, K.F., Yuen, S.Y., Chow, C.K., Leung, S.W.: Energy management and design of centralized air-conditioning systems through the non-revisiting strategy for heuristic optimization methods. Appl. Energy 87(11), 3494\u20133506 (2010)","journal-title":"Appl. Energy"},{"issue":"7","key":"13_CR7","doi-asserted-by":"publisher","first-page":"1353","DOI":"10.1016\/j.enbuild.2007.12.007","volume":"40","author":"RZ Freire","year":"2008","unstructured":"Freire, R.Z., Oliveira, G.H., Mendes, N.: Predictive controllers for thermal comfort optimization and energy savings. Energy Build. 40(7), 1353\u20131365 (2008)","journal-title":"Energy Build."},{"issue":"4","key":"13_CR8","doi-asserted-by":"publisher","first-page":"2084","DOI":"10.1109\/TSG.2014.2312430","volume":"5","author":"G Goddard","year":"2014","unstructured":"Goddard, G., Klose, J., Backhaus, S.: Model development and identification for fast demand response in commercial HVAC systems. IEEE Trans. Smart Grid 5(4), 2084\u20132092 (2014)","journal-title":"IEEE Trans. Smart Grid"},{"key":"13_CR9","doi-asserted-by":"publisher","first-page":"388","DOI":"10.1016\/j.buildenv.2011.11.008","volume":"51","author":"I Hazyuk","year":"2012","unstructured":"Hazyuk, I., Ghiaus, C., Penhouet, D.: Optimal temperature control of intermittently heated buildings using model predictive control: Part II - control algorithm. Build. Environ. 51, 388\u2013394 (2012)","journal-title":"Build. Environ."},{"issue":"5","key":"13_CR10","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1109\/TSMCB.2007.903706","volume":"37","author":"X Hu","year":"2007","unstructured":"Hu, X., Wang, J.: Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems. IEEE Trans. Syst. Man Cybern. Part B Cybern. 37(5), 1414\u20131421 (2007)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"issue":"12","key":"13_CR11","doi-asserted-by":"publisher","first-page":"2022","DOI":"10.1109\/TNN.2008.2003287","volume":"19","author":"X Hu","year":"2008","unstructured":"Hu, X., Wang, J.: An improved dual neural network for solving a class of quadratic programming problems and its k-winners-take-all application. IEEE Trans. Neural Netw. 19(12), 2022\u20132031 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"key":"13_CR12","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.enbuild.2015.03.045","volume":"97","author":"H Huang","year":"2015","unstructured":"Huang, H., Chen, L., Hu, E.: A neural network-based multi-zone modelling approach for predictive control system design in commercial buildings. Energy Build. 97, 86\u201397 (2015)","journal-title":"Energy Build."},{"key":"13_CR13","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.neunet.2014.09.009","volume":"61","author":"G Li","year":"2015","unstructured":"Li, G., Yan, Z., Wang, J.: A one-layer recurrent neural network for constrained nonconvex optimization. Neural Netw. 61, 10\u201321 (2015)","journal-title":"Neural Netw."},{"issue":"6","key":"13_CR14","doi-asserted-by":"publisher","first-page":"1251","DOI":"10.1109\/72.883412","volume":"11","author":"X Liang","year":"2000","unstructured":"Liang, X., Wang, J.: A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints. IEEE Trans. Neural Netw. 11(6), 1251\u20131262 (2000)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"13_CR15","doi-asserted-by":"publisher","first-page":"558","DOI":"10.1109\/TNN.2007.910736","volume":"19","author":"Q Liu","year":"2008","unstructured":"Liu, Q., Wang, J.: A one-layer recurrent neural network with a discontinuous hard-limiting activation function for quadratic programming. IEEE Trans. Neural Netw. 19(4), 558\u2013570 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"5","key":"13_CR16","first-page":"1323","volume":"40","author":"Q Liu","year":"2011","unstructured":"Liu, Q., Wang, J.: A one-layer recurrent neural network for constrained nonsmooth optimization. IEEE Trans. Syst. Man Cybern. Part B Cybern. 40(5), 1323\u20131333 (2011)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"issue":"6","key":"13_CR17","doi-asserted-by":"publisher","first-page":"1500","DOI":"10.1109\/TNN.2006.881046","volume":"17","author":"S Liu","year":"2006","unstructured":"Liu, S., Wang, J.: A simplified dual neural network for quadratic programming with its KWTA application. IEEE Trans. Neural Netw. 17(6), 1500\u20131510 (2006)","journal-title":"IEEE Trans. Neural Netw."},{"key":"13_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-40065-5","volume-title":"Numerical Optimization","author":"J Nocedal","year":"2006","unstructured":"Nocedal, J., Wright, S.J.: Numerical Optimization. Springer, New York (2006). https:\/\/doi.org\/10.1007\/978-0-387-40065-5"},{"issue":"8","key":"13_CR19","doi-asserted-by":"publisher","first-page":"3089","DOI":"10.1109\/TIE.2011.2169636","volume":"59","author":"Y Pan","year":"2012","unstructured":"Pan, Y., Wang, J.: Model predictive control of unknown nonlinear dynamical systems based on recurrent neural networks. IEEE Trans. Ind. Electron. 59(8), 3089\u20133101 (2012)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"9","key":"13_CR20","doi-asserted-by":"crossref","first-page":"2156","DOI":"10.1109\/TNNLS.2016.2577342","volume":"28","author":"Z Peng","year":"2017","unstructured":"Peng, Z., Wang, D., Wang, J.: Predictor-based neural dynamic surface control for uncertain nonlinear systems in strict-feedback form. IEEE Trans. Neural Netw. Learn. Syst. 28(9), 2156\u20132167 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"2\u20133","key":"13_CR21","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1016\/j.enbuild.2010.10.022","volume":"43","author":"S Privara","year":"2011","unstructured":"Privara, S., \u0160irok\u1ef3, J., Ferkl, L., Cigler, J.: Model predictive control of a building heating system: the first experience. Energy Build. 43(2\u20133), 564\u2013572 (2011)","journal-title":"Energy Build."},{"issue":"11","key":"13_CR22","doi-asserted-by":"publisher","first-page":"2580","DOI":"10.1109\/TNNLS.2016.2595489","volume":"28","author":"S Qin","year":"2017","unstructured":"Qin, S., Le, X., Wang, J.: A neurodynamic optimization approach to bilevel quadratic programming. IEEE Trans. Neural Netw. Learn. Syst. 28(11), 2580\u20132591 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"4","key":"13_CR23","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1016\/0360-1323(93)90021-T","volume":"28","author":"P Rousseau","year":"1993","unstructured":"Rousseau, P., Mathews, E.: Needs and trends in integrated building and HVAC thermal design tools. Build. Environ. 28(4), 439\u2013452 (1993)","journal-title":"Build. Environ."},{"issue":"1","key":"13_CR24","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1109\/41.661318","volume":"45","author":"J Teeter","year":"1998","unstructured":"Teeter, J., Chow, M.Y.: Application of functional link neural network to HVAC thermal dynamic system identification. IEEE Trans. Ind. Electron. 45(1), 170\u2013176 (1998)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"4","key":"13_CR25","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/0893-6080(94)90041-8","volume":"7","author":"J Wang","year":"1994","unstructured":"Wang, J.: A deterministic annealing neural network for convex programming. Neural Netw. 7(4), 629\u2013641 (1994)","journal-title":"Neural Netw."},{"issue":"7","key":"13_CR26","doi-asserted-by":"publisher","first-page":"1003","DOI":"10.1016\/j.neunet.2004.05.006","volume":"17","author":"Y Xia","year":"2004","unstructured":"Xia, Y., Feng, G., Wang, J.: A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations. Neural Netw. 17(7), 1003\u20131015 (2004)","journal-title":"Neural Netw."},{"issue":"8","key":"13_CR27","doi-asserted-by":"publisher","first-page":"1340","DOI":"10.1109\/TNN.2008.2000273","volume":"19","author":"Y Xia","year":"2008","unstructured":"Xia, Y., Feng, G., Wang, J.: A novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. IEEE Trans. Neural Netw. 19(8), 1340\u20131353 (2008)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"13_CR28","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/81.995659","volume":"49","author":"Y Xia","year":"2002","unstructured":"Xia, Y., Leung, H., Wang, J.: A projection neural network and its application to constrained optimization problems. IEEE Trans. Circuits Syst. Part I 49(4), 447\u2013458 (2002)","journal-title":"IEEE Trans. Circuits Syst. Part I"},{"issue":"6","key":"13_CR29","doi-asserted-by":"publisher","first-page":"1331","DOI":"10.1109\/72.728383","volume":"9","author":"Y Xia","year":"1998","unstructured":"Xia, Y., Wang, J.: A general methodology for designing globally convergent optimization neural networks. IEEE Trans. Neural Netw. 9(6), 1331\u20131343 (1998)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"4","key":"13_CR30","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/72.857782","volume":"11","author":"Y Xia","year":"2000","unstructured":"Xia, Y., Wang, J.: Global exponential stability of recurrent neural networks for solving optimization and related problems. IEEE Trans. Neural Netw. 11(4), 1017\u20131022 (2000)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"2","key":"13_CR31","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1109\/TNN.2004.824252","volume":"15","author":"Y Xia","year":"2004","unstructured":"Xia, Y., Wang, J.: A general projection neural network for solving monotone variational inequalities and related optimization problems. IEEE Trans. Neural Netw. 15(2), 318\u2013328 (2004)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"7","key":"13_CR32","doi-asserted-by":"publisher","first-page":"1385","DOI":"10.1109\/TCSI.2004.830694","volume":"51","author":"Y Xia","year":"2004","unstructured":"Xia, Y., Wang, J.: A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints. IEEE Trans. Circuits Syst. Part I 51(7), 1385\u20131394 (2004)","journal-title":"IEEE Trans. Circuits Syst. Part I"},{"issue":"2","key":"13_CR33","doi-asserted-by":"publisher","first-page":"214","DOI":"10.1109\/TNNLS.2015.2500618","volume":"27","author":"Y Xia","year":"2016","unstructured":"Xia, Y., Wang, J.: A bi-projection neural network for solving constrained quadratic optimization problems. IEEE Trans. Neural Netw. Learn. Syst. 27(2), 214\u2013224 (2016)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"7","key":"13_CR34","doi-asserted-by":"publisher","first-page":"4377","DOI":"10.1109\/TIE.2016.2544718","volume":"63","author":"Z Yan","year":"2016","unstructured":"Yan, Z., Le, X., Wang, J.: Tube-based robust model predictive control of nonlinear systems via collective neurodynamic optimization. IEEE Trans. Ind. Electron. 63(7), 4377\u20134386 (2016)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"4","key":"13_CR35","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1109\/TII.2012.2205582","volume":"8","author":"Z Yan","year":"2012","unstructured":"Yan, Z., Wang, J.: Model predictive control of nonlinear systems with unmodeled dynamics based on feedforward and recurrent neural networks. IEEE Trans. Ind. Inform. 8(4), 746\u2013756 (2012)","journal-title":"IEEE Trans. Ind. Inform."},{"issue":"5","key":"13_CR36","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.1109\/TNNLS.2016.2524619","volume":"28","author":"Z Yan","year":"2017","unstructured":"Yan, Z., Fan, J., Wang, J.: A collective neurodynamic approach to constrained global optimization. IEEE Trans. Neural Netw. Learn. Syst. 28(5), 1206\u20131215 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"3","key":"13_CR37","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1109\/TNNLS.2013.2275948","volume":"25","author":"Z Yan","year":"2014","unstructured":"Yan, Z., Wang, J.: Robust model predictive control of nonlinear systems with unmodeled dynamics and bounded uncertainties based on neural networks. IEEE Trans. Neural Netw. Learn. Syst. 25(3), 457\u2013469 (2014)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"4","key":"13_CR38","doi-asserted-by":"publisher","first-page":"840","DOI":"10.1109\/TNNLS.2014.2387862","volume":"26","author":"Z Yan","year":"2015","unstructured":"Yan, Z., Wang, J.: Nonlinear model predictive control based on collective neurodynamic optimization. IEEE Trans. Neural Netw. Learn. Syst. 26(4), 840\u2013850 (2015)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"13_CR39","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1016\/j.apenergy.2015.07.050","volume":"156","author":"L Yang","year":"2015","unstructured":"Yang, L., Nagy, Z., Goffin, P., Schlueter, A.: Reinforcement learning for optimal control of low exergy buildings. Appl. Energy 156, 577\u2013586 (2015)","journal-title":"Appl. Energy"},{"key":"13_CR40","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1016\/S0375-9601(02)00424-3","volume":"298","author":"Y Zhang","year":"2002","unstructured":"Zhang, Y., Wang, J.: A dual neural network for convex quadratic programming subject to linear equality and inequality constraints. Phys. Lett. A 298, 271\u2013278 (2002)","journal-title":"Phys. Lett. A"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2019"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-22808-8_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:14:40Z","timestamp":1710260080000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-22808-8_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030228071","9783030228088"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-22808-8_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"26 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISNN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Moscow","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Russia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isnn2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/isnn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}