{"product_id":"modeling-analysis-and-control-of-hydraulic-actuator-for-forging-paperback","title":"Modeling, Analysis and Control of Hydraulic Actuator for Forging - Paperback","description":"\u003cp\u003eby \u003cb\u003eXinjiang Lu\u003c\/b\u003e (Author), \u003cb\u003eMinghui Huang\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDescribes load modeling approaches for complex work pieces and batch forgings\u003c\/p\u003e\u003cp\u003eDemonstrates analytical modeling approaches and data-driven modeling approaches for known and unknown complex forging processes\u003c\/p\u003e\u003cp\u003eAddresses the derivation and estimation of dynamic behavior in complex forging processes\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eOffers control methods for the forging system that can accommodate a large operating area and account for uncertainty\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book aims to overcome the current shortcomings of modeling, analysis and control approaches, presenting contributions in three major areas: a) Several novel modeling approaches are proposed: a process\/shape-decomposition modeling method to help estimate the deformation force, an online probabilistic learning machine for the modeling of batch forging processes, several data-driven identification and modeling approaches for unknown forging processes under different work conditions. b) The model-based dynamic analysis methods is developed to derive the conditions of stability and creep. c) Several novel intelligent control methods are proposed for complex forging processes.\u003c\/p\u003e \u003cp\u003eOne of the most serious problems in forging forming involves the inaccurate forging conditions, velocity and position, offered by the hydraulic actuator due to the complexity of both the deformation process of the metal work piece and the motion process of the hydraulic actuator. The current weaknesses of modeling, analysis and control approaches are summarized as follows: a) With the current modeling approaches it is difficult to model complex forging processes with unknown parameters, as they only model the dynamics in local working areas but do not effectively model unknown nonlinear systems across multiple working areas; further, they do not take the batch forging process into account, let alone its distribution modeling. b) All previous dynamic analysis studies simplify the forging system to having a single-frequency pressure fluctuation and neglect the influences of non-linear load force. Further, they fail to take the flow equation in both valves and cylinders into account. c) Conventional control approaches only consider the linear deformation force and pay no attention to sudden changes and the motion synchronization for the multi-cylinder system, making them less effective for complex, nonlinear time-varying forging processes subject to sudden changes.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eXinJiang Lu received the B.E. and M.E. degrees in the School of Mechanical \u0026amp; Electrical Engineering, Central South University, China, and the Ph.D degree in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong. Currently, he is currently a Professor of the School of Mechanical \u0026amp; Electrical Engineering, Central South University. \u003c\/p\u003e \u003cp\u003eDr. Lu has broad interest in academic as well as applied research. He has published 1 book with John Wiley \u0026amp; Sons in 2014, and published over 30 SCI journal papers and more than 20 conference papers. As PI, he has taken charge of 8 projects. His current research interests are in modeling and control of hydraulic actuator, data learning, process modeling and control, robust design, integration of design and control. \u003c\/p\u003e \u003cp\u003eDr. Lu serves as one of the Editorial Board Members in both \u003ci\u003eInternational Journal of Industrial and Manufacturing Systems Engineering\u003c\/i\u003e and \u003ci\u003eInternational Journal of Computer \u0026amp; Software Engineering\u003c\/i\u003e. He was awarded New Century Excellent Talents award by the Chinese Ministry of Education in 2013, Hiwin Doctoral Dissertation Award in 2011, Excellent Thesis Award for Master's Degree of both Hunan Province and Central South University respectively in 2007 and 2006. He is a member of IEEE. \u003c\/p\u003e \u003cp\u003eThe list of the selected publications: \u003c\/p\u003e \u003cp\u003e[1] \u003cb\u003eLu X.J.\u003c\/b\u003e, Zou W., Huang M.H., A Novel Spatiotemporal LS-SVM Method for Complex Distributed Parameter Systems with Applications to Curing Thermal Process, \u003ci\u003eIEEE Transactions on Industrial Informatics\u003c\/i\u003e, 12(3), pp.1156 - 1165, 2016.\u003c\/p\u003e \u003cp\u003e[2] Fan B., \u003cb\u003eLu X.J\u003csup\u003e*\u003c\/sup\u003e.\u003c\/b\u003e, Huang M.H., A Novel LS-SVM Control for Unknown Nonlinear Systems with Application to Complex Forging Process, Journal of Central South University, 2016 (Accepted)\u003c\/p\u003e \u003cp\u003e[3] Fan B., \u003cb\u003eLu X.J*.\u003c\/b\u003e, Li H.X., Probabilistic Inference based Least Squares Support Vector Machine for Modeling under Noisy Environment, \u003ci\u003eIEEE Trans. Systems, Man, and Cybernetics: Systems\u003c\/i\u003e, 10.1109\/TSMC.2016.2531674, 2016. (Accepted)\u003c\/p\u003e \u003cp\u003e[4] Zhou C., \u003cb\u003eLu X.J\u003csup\u003e*\u003c\/sup\u003e.\u003c\/b\u003e, Huang M.H., Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling, \u003ci\u003eNeurocomputing\u003c\/i\u003e, 182, pp.145-153i 2016.\u003c\/p\u003e \u003cp\u003e[5] \u003cb\u003eLu X.J.\u003c\/b\u003e, Zhou C., Huang M.H., Lv W.B. Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system, \u003ci\u003eNeurocomputing, \u003c\/i\u003e174，pp.617-626\u003ci\u003e, \u003c\/i\u003e2016.\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e[6] \u003cb\u003eLu X.J.\u003c\/b\u003e, Liu C., Huang M.H. Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes, \u003ci\u003e IEEE Transactions on Industrial Informatics\u003c\/i\u003e, 11(6), pp.1277-1286, 2015.\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e [7] \u003cb\u003eLu X.J.\u003c\/b\u003e, Zou W., Huang M.H. An adaptive modeling method for time-varying distributed parameter processes with curing process applications, \u003ci\u003eNonlinear Dynamics\u003c\/i\u003e, 82(1), pp. 865-876, 2015。\u003cp\u003e\u003c\/p\u003e \u003cp\u003e[8] \u003cb\u003eLu X.J.\u003c\/b\u003e, Fan B., Huang, M.H. (2015). A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions, \u003ci\u003eIEEE Transactions on Industrial Informatics\u003c\/i\u003e, 11(3), pp. 663-670, 2015.\u003c\/p\u003e \u003cp\u003e[9] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Zou W., Huang M.H., Deng K. (2015). A process\/shape-decomposition modeling method for deformation force estimation in complex forging processes, \u003ci\u003eInternational Journal of Mechanical Sciences\u003c\/i\u003e\u003cb\u003e, \u003c\/b\u003e90, pp.190-199, 2015\u003cb\u003e. \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e[10] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Huang M.H. (2015). Two-Level Modeling Based Intelligent Integration Control for Time-Varying Forging Processes, \u003ci\u003eIndustrial and engineering chemistry research, \u003c\/i\u003e 54, pp.5690-5696, 2015. \u003c\/p\u003e \u003cp\u003e[11] \u003cb\u003eLu X.J.\u003c\/b\u003e, Huang M.H., (2015). A Novel Multi-level Modeling Method for Complex Forging Processes on Hydraulic Press Machines, \u003ci\u003eInternational Journal of Advanced Manufacturing Technology\u003c\/i\u003e,79(9), pp.1869-1880, 2015. \u003c\/p\u003e \u003cp\u003e[12] Lei J., \u003cb\u003eLu X.J.\u003c\/b\u003e, Li Y.B., Huang M.H., Zou W., (2015). Approximate-model Based Estimation Method for Dynamic Response of Forging Processes, \u003ci\u003e CHINESE JOURNAL OF MECHANICAL ENGINEERING, \u003c\/i\u003e 28(3), pp.565-572, 2015. \u003c\/p\u003e \u003cp\u003e[13] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Li H.X., Huang M.H. (2014). Data-Driven Robust Design for a Curing Oven, \u003ci\u003eIEEE Trans. on Components, Packaging and Manufacturing Technology\u003c\/i\u003e, 4(8), pp. 1366-1373, 2014.\u003c\/p\u003e [14] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Li H.X., Huang M.H. (2014). Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems, \u003ci\u003eMechanism and Machine Theory, \u003c\/i\u003e 82, pp. 115-127, 2014. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e[15] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Huang M.H. (2014). A KL\/Subspace Modeling Method for Integrated Design and Control in Curing Processes, \u003ci\u003eIndustrial and engineering chemistry research, \u003c\/i\u003e 53, pp. 14377-14384, 2014. \u003c\/p\u003e [16] \u003cb\u003eLu X.J.\u003c\/b\u003e\u003cb\u003e\u003csup\u003e \u003c\/sup\u003e\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003e Huang M.H. (2014). A simple online modeling approach for a time-varying forging process, \u003ci\u003eInternational Journal of Advanced Manufacturing Technology\u003c\/i\u003e, 75, pp. 1197-1205, 2014 \u003cp\u003e\u003c\/p\u003e \u003cp\u003e[17] \u003cb\u003eLu X.J.\u003c\/b\u003e, Li Y.B., Huang M.H. (2013). Operation-region-decomposition-based SVD\/NN Modeling Method for Complex Hydraulic Press Machines, \u003ci\u003eIndustrial \u0026amp; Engineering Chemistry Research\u003c\/i\u003e，52, pp.17221-17228, 2013. \u003c\/p\u003e \u003cp\u003e[18] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Huang, M.H. (2013). Nonlinear-Measurement-Based Integrated Robust Design and Control for Manufacturing System, \u003ci\u003e IEEE Trans. on Industrial Electronics\u003c\/i\u003e, 60(7), pp.2711-2720, 2013. \u003c\/p\u003e \u003cp\u003e[19] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Huang, M.H. (2013). Multi-domain modeling based robust design for nonlinear manufacture system, \u003ci\u003eInternational Journal of Mechanical Sciences\u003c\/i\u003e\u003cb\u003e, \u003c\/b\u003e75, pp.80-86, 2013\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e[20] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Huang, M.H. (2012). System decomposition based multi-level control for hydraulic press machine. \u003ci\u003eIEEE Trans. on Industrial Electronics\u003c\/i\u003e, 59(4), pp. 1080-1087, 2012.\u003c\/p\u003e [21] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Li, H.-X. (2012). Model based probabilistic robust design with data-based uncertainty compensation for model uncertainty.\u003cb\u003e \u003c\/b\u003e\u003ci\u003eASME\u003c\/i\u003e \u003ci\u003eTrans. on\u003c\/i\u003e \u003ci\u003eJournal of Mechanical Design\u003c\/i\u003e, 134(2), pp. 021004, 2012. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e[22] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Li, H.-X. (2012). Probabilistic robust design for covariance minimization of nonlinear system. \u003ci\u003eMechanism and Machine Theory\u003c\/i\u003e, 52, pp. 195-205, 2012. \u003c\/p\u003e \u003cp\u003e[23] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Li, H.-X. (2011). Robust Design for Dynamic system under Model Uncertainty. \u003ci\u003eASME\u003c\/i\u003e \u003ci\u003eTrans. on\u003c\/i\u003e \u003ci\u003eJournal of Mechanical Design\u003c\/i\u003e, 133(2), pp:021006. \u003c\/p\u003e \u003cp\u003e[24] \u003cb\u003eLu X.J. \u003c\/b\u003e\u0026amp; Huang, M.H. (2011). Subspace modeling based Nonlinear Measurement for Process Design.\u003ci\u003e Industrial \u0026amp; Engineering Chemistry Research\u003c\/i\u003e \u003ci\u003e, \u003c\/i\u003e50, 13457-13465. \u003c\/p\u003e \u003cp\u003e[25] \u003cb\u003eLu X.J.\u003c\/b\u003e Li, H.-X., \u0026amp; Yuan, X. (2010). PSO-based intelligent integration of design and control for a kind of curing process. \u003ci\u003eJournal of process control\u003c\/i\u003e, 20, 1116-1125 \u003c\/p\u003e \u003cp\u003e[26] \u003cb\u003eLu X.J., \u003c\/b\u003e Li, H.-X., Chen C. L. (2010). Variable sensitivity based deterministic robust design for nonlinear system. \u003ci\u003eASME\u003c\/i\u003e \u003ci\u003eTrans. on\u003c\/i\u003e \u003ci\u003eJournal of Mechanical Desi\u003c\/i\u003egn. 132（6），pp: 064502. \u003c\/p\u003e \u003cp\u003e[27] \u003cb\u003eLu X.J.\u003c\/b\u003e, Li, H.-X., Chen C. L. (2010). Robust Optimal Design with Consideration of Robust Eigenvalue Assignment. \u003ci\u003eIndustrial \u0026amp; Engineering Chemistry Research, \u003c\/i\u003e49 (7), pp: 3306-3315. \u003c\/p\u003e \u003cp\u003e[28] \u003cb\u003eLu X.J.\u003c\/b\u003e, Li, H.-X.\u003csup\u003e *\u003c\/sup\u003e, Duan J.-A., Sun D. (2010). Integrated Design and Control under Uncertainty: A Fuzzy Modeling Approach. \u003ci\u003eIndustrial \u0026amp; Engineering Chemistry Research.\u003c\/i\u003e 49(3), pp:1312-1324. \u003c\/p\u003e \u003cp\u003e[29] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Li, H.-X. (2009). Perturbation Theory based Robust Design for Model Uncertainty. \u003ci\u003eASME\u003c\/i\u003e \u003ci\u003eTrans. on Journal of Mechanical Design\u003c\/i\u003e. 131(11), pp: 111006. \u003c\/p\u003e \u003cp\u003e[30] \u003cb\u003eLu X.J.\u003c\/b\u003e \u0026amp; Li, H.-X. (2009). Stability based Robust Eigenvalue Design for Tolerance. \u003ci\u003eASME\u003c\/i\u003e \u003ci\u003eTrans. on Journal of Mechanical Design\u003c\/i\u003e. 131(8), pp: 081007. \u003c\/p\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eMingHui Huang received the B.E., M.E. and Ph.D degrees in the School of Mechanical \u0026amp; Electrical Engineering, Central South University, China. \u003c\/p\u003e Currently, he is a full professor of the School of Mechanical \u0026amp; Electrical Engineering, Central South University. He was awarded both \"Chang Jiang Scholar\" and New Century Excellent Talents award by the Chinese Ministry of Education, China. His research interests include forging forming, machine design and manufacturing, design theory, fault diagnosis, digital manufacturing. \u003cp\u003e\u003c\/p\u003e \u003cp\u003eThe list of the selected publications: \u003c\/p\u003e \u003cp\u003e[1] Lu X.J., Zou W., \u003cb\u003eHuang M.H.\u003c\/b\u003e, A Novel Spatiotemporal LS-SVM Method for Complex Distributed Parameter Systems with Applications to Curing Thermal Process, \u003ci\u003eIEEE Transactions on Industrial Informatics\u003c\/i\u003e, 12(3), pp.1156 - 1165, 2016.\u003c\/p\u003e \u003cp\u003e[2] lex=\"\" forging=\"\" process, =\"\" journal=\"\" of=\"\" central=\"\" south=\"\" university, =\"\" 2016=\"\" (accepted) \u003c\/p\u003e\u003cp\u003e[3] Zhou C., Lu X.J\u003csup\u003e*\u003c\/sup\u003e., \u003cb\u003eHuang M.H.\u003c\/b\u003e, Dempster-Shafer theory-based robust least squares support vector machine for stochastic modelling, \u003ci\u003eNeurocomputing\u003c\/i\u003e, 182, pp.145-153i 2016.\u003c\/p\u003e \u003cp\u003e[4] Lu X.J., Zhou C., \u003cb\u003eHuang M.H.\u003c\/b\u003e, Lv W.B. Regularized online sequential extreme learning machine with adaptive regulation factor for time-varying nonlinear system, \u003ci\u003eNeurocomputing, \u003c\/i\u003e174，pp.617-626\u003ci\u003e, \u003c\/i\u003e2016. \u003c\/p\u003e [5] Lu X.J., Liu C., \u003cb\u003eHuang M.H.\u003c\/b\u003e Online Probabilistic Extreme Learning Machine for Distribution Modeling of Complex Batch Forging Processes, \u003ci\u003e IEEE Transactions on Industrial Informatics\u003c\/i\u003e, 11(6), pp.1277-1286, 2015. \u003cp\u003e\u003c\/p\u003e \u003cp\u003e[6] Lu X.J., Zou W., \u003cb\u003eHuang M.H.^ations, \u003ci\u003eNonlinear Dynamics\u003c\/i\u003e, 82(1), pp. 865-876, 2015。\u003c\/b\u003e\u003c\/p\u003e\u003cb\u003e \u003c\/b\u003e\u003cp\u003e[7] Lu X.J., Fan B., \u003cb\u003eHuang, M.H. \u003c\/b\u003e(2015). A Novel LS-SVM Modeling Method for a Hydraulic Press Forging Process with Multiple Localized Solutions, \u003ci\u003eIEEE Transactions on Industrial Informatics\u003c\/i\u003e, 11(3), pp. 663-670, 2015.\u003c\/p\u003e \u003cp\u003e[8] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, Zou W., \u003cb\u003eHuang M.H.\u003c\/b\u003e, Deng K. (2015). A process\/shape-decomposition modeling method for deformation force estimation in complex forging processes, \u003ci\u003eInternational Journal of Mechanical Sciences\u003c\/i\u003e, 90, pp.190-199, 2015. \u003c\/p\u003e \u003cp\u003e[9] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, \u003cb\u003eHuang M.H. \u003c\/b\u003e(2015). Two-Level Modeling Based Intelligent Integration Control for Time-Varying Forging Processes, \u003ci\u003eIndustrial and engineering chemistry research, 54, pp.5690-5696, 2015. \u003c\/i\u003e\u003c\/p\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003e[10] Lu X.J., \u003cb\u003eHuang M.H.\u003c\/b\u003e, (2015). A Novel Multi-level Modeling Method for Complex Forging Processes on Hydraulic Press Machines, \u003ci\u003eInternational Journal of Advanced Manufacturing Technology\u003c\/i\u003e,79(9), pp.1869-1880, 2015. \u003c\/p\u003e \u003cp\u003e[11] Lei J., Lu X.J., Li Y.B., \u003cb\u003eHuang M.H.\u003c\/b\u003e, Zou W., (2015). Approximate-model Based Estimation Method for Dynamic Response of Forging Processes, \u003ci\u003e CHINESE JOURNAL OF MECHANICAL ENGINEERING, \u003c\/i\u003e 28(3), pp.565-572, 2015. \u003c\/p\u003e [12] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, Li H.X., \u003cb\u003eHuang M.H.\u003c\/b\u003e (2014). Data-Driven Robust Design for a Curing Oven, \u003ci\u003eIEEE Trans. on Components, Packaging and Manufacturing Technology\u003c\/i\u003e, 4(8), pp. 1366-1373, 2014.\u003cp\u003e\u003c\/p\u003e \u003cp\u003e[13] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, Li H.X., \u003cb\u003eHuang M.H. \u003c\/b\u003e(2014). Stability and robust design using a sector nonlinearity approach for nonlinear manufacturing systems, \u003ci\u003eMechanism and Machine Theory, 82, pp. 115-127, 2014. \u003c\/i\u003e\u003c\/p\u003e\u003ci\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/i\u003e\u003cp\u003e[14] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, \u003cb\u003eHuang M.H.\u003c\/b\u003e (2014). A KL\/Subspace Modeling Method for Integrated Design and Control in Curing Processes, \u003ci\u003eIndustrial and engineering chemistry research, \u003c\/i\u003e 53, pp. 14377-14384, 2014. \u003c\/p\u003e \u003cp\u003e[15] Lu X.J.\u003csup\u003e \u003c\/sup\u003e, \u003cb\u003eHuang M.H.\u003c\/b\u003e (2014). A simple online modeling approach for a time-varying forging process, \u003ci\u003eInternational Journal of Advanced Manufacturing Technology\u003c\/i\u003e, 75, pp. 1197-1205, 2014 \u003c\/p\u003e \u003cp\u003e[16] Lu X.J., Li Y.B., \u003cb\u003eHuang M.H.\u003c\/b\u003e (2013). Operation-region-decomposition-based SVD\/NN Modeling Method for Complex Hydraulic Press Machines, \u003ci\u003eIndustrial \u0026amp; Engineering Chemistry Research\u003c\/i\u003e，52, pp.17221-17228, 2013. \u003c\/p\u003e \u003cp\u003e[17] Lu X.J. \u0026amp; \u003cb\u003eHuang, M.H.\u003c\/b\u003e (2013). Nonlinear-Measurement-Based Integrated Robust Design and Control for Manufacturing System, \u003ci\u003e IEEE Trans. on Industrial Electronics, 60(7), pp.2711-2720, 2013. \u003c\/i\u003e\u003c\/p\u003e\u003ci\u003e \u003c\/i\u003e\u003cp\u003e[18] Lu X.J. \u0026amp; \u003cb\u003eHuang, M.H.\u003c\/b\u003e (2013). Multi-domain modeling based robust design for nonlinear manufacture system, \u003ci\u003eInternational Journal of Mechanical Sciences\u003c\/i\u003e, 75, pp.80-86, 2013.\u003c\/p\u003e [19] Lu X.J. \u0026amp; \u003cb\u003eHuang, M.H.\u003c\/b\u003e (2012). System decomposition based multi-level control for hydraulic press machine. \u003ci\u003eIEEE Trans. on Industrial Electronics\u003c\/i\u003e, 59(4), pp. 1080-1087, 2012.\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 228\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.51 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 09, 2019\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51793400168736,"sku":"9789811354342","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/80c3329b4429fe59105c0415d4e2d153.webp?v=1780720456","url":"https:\/\/ebocreations.com\/products\/modeling-analysis-and-control-of-hydraulic-actuator-for-forging-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}