{"id":8,"date":"2015-04-08T11:14:00","date_gmt":"2015-04-08T09:14:00","guid":{"rendered":"http:\/\/people.unipi.it\/cloner\/?page_id=8"},"modified":"2021-01-31T18:23:30","modified_gmt":"2021-01-31T17:23:30","slug":"pubblicazioni","status":"publish","type":"page","link":"https:\/\/people.unipi.it\/gabriele_pannocchia\/pubblicazioni\/","title":{"rendered":"Publications"},"content":{"rendered":"<ol>\n<li>M. Alamir, <strong>G. Pannocchia<\/strong>. A new formulation of Economic Model Predictive Control without terminal constraint. <em>Automatica<\/em>,\u00a0125 (3), 109420, 2021.<\/li>\n<li><strong>G. Pannocchia<\/strong>, W.P. Heath. Offset-free IMC with generalized disturbance models. <em>Automatica<\/em>, 122, 1092070, 2020.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Handbook of Model Predictive Control [Bookshelf]. <em>IEEE Control Systems Magazine<\/em>, 40(5), 96-99, 2020.<\/li>\n<li>M. Vaccari, F. Pelagagge, D. Bonvin, <strong>G. Pannocchia<\/strong>. Estimation technique for offset-free economic MPC based on modifier adaptation. In Proceedings of <em>21st IFAC World Congress<\/em>, Berlin (Germany), 2020.<\/li>\n<li>M. Vaccari, R. Bacci di Capaci, E. Brunazzi, L. Tognotti, P. Pierno, R. Vagheggi, <strong>G. Pannocchia<\/strong>. Implementation of an Industry 4.0 system to optimally manage chemical plant operation. In Proceedings of <em>21st IFAC World Congress<\/em>, Berlin (Germany), 2020.<\/li>\n<li>M. M\u00f6nnigmann, <strong>G. Pannocchia<\/strong>. Reducing the computational effort of MPC with closed-loop optimal sequences of affine laws. In Proceedings of <em>21st IFAC World Congress<\/em>, Berlin (Germany), 2020.<\/li>\n<li>M. Vaccari, <strong>G. Pannocchia<\/strong>, L. Tognotti, M. Paci, R. Bonciani. A rigorous simulation model of geothermal power plants for emission control. <em>Applied Energy<\/em>, 263, 114563, 2020.<\/li>\n<li>M. Vaccari, <strong>G. Pannocchia<\/strong>. A Performance Monitoring Algorithm for Sustained Optimal Operation with Economic MPC. In <em>Proceedings of<\/em>\u00a0<em>European Control Conference 2019<\/em>, Naples (Italy), Art. no. 8795761,\u00a03353-3358, 2019.<\/li>\n<li>M. Razzanelli, E. Crisostomi, L. Pallottino, <strong>G. Pannocchia<\/strong>.\u00a0Distributed Model Predictive Control for Energy Management in a Network of Microgrids Using the Dual Decomposition Method.\u00a0<em>Optimal Control Applications &amp; Methods, <\/em>41(1), 25-41, 2020.<\/li>\n<li>M. Antognoli, C. Galletti, R. Bacci di Capaci, <strong>G. Pannocchia<\/strong>, C. Scali. Numerical Investigation of the Mixing of Highly Viscous Liquids with Cowles Impellers. <em>Chemical Engineering Transactions<\/em>, 74, 973-978, 2019.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Distributed model predictive control. In: T. Samad, Baillieul (Eds.) <em>Encyclopedia of Systems and Control<\/em>, Springer, Article 5-2, 2019.<\/li>\n<li>M. Vaccari, G.M. Mancuso, J. Riccardi, M. Cant\u00f9, <strong>G. Pannocchia<\/strong>. A Sequential Linear Programming Algorithm for Economic Optimization of Hybrid Renewable Energy Systems. <em>Journal of Process Control<\/em>, 74, 189-201, 2019.<\/li>\n<li>M. Razzanelli, M. Innocenti, <strong>G. Pannocchia<\/strong>, L. Pollini. Vision-based Model Predictive Control for Unmanned Aerial Vehicles Automatic Trajectory Generation and Tracking. In <em>Proceedings of\u00a0AIAA Guidance, Navigation, and Control Conference<\/em>, Art. no. AIAA-2019-1409, 2019.<\/li>\n<li>T. Faulwasser, <strong>G. Pannocchia<\/strong>. Toward a Unifying Framework Blending Real-Time Optimization and Economic Model Predictive Control. <em>Industrial and Engineering Chemistry Research<\/em>, 58(30), 13583\u201313598, 2019.<\/li>\n<li>R. Bacci di Capaci, M. Vaccari, C. Scali, <strong>G. Pannocchia<\/strong>. Enhancing MPC formulations by identification and estimation of valve stiction.\u00a0<em>Journal of Process Control<\/em>, 81, 31-39, 2019.<\/li>\n<li>M. Gabiccini, A. Artoni, <strong>G. Pannocchia<\/strong>, J. Gillis. A Computational Framework for Environment-Aware Robotic Manipulation Planning. <em>Springer Proceedings in Advanced\u00a0Robotics<\/em>, 2, 363-387, 2018.<\/li>\n<li>G. Landucci, A. Pupillo, A. Mencaroni, <strong>G. Pannocchia<\/strong>. Quantitative consequence assessment of industrial accidents supported by dynamic process simulators.\u00a0<em>Chemical Engineering Transactions<\/em>, 67, 139-144, 2018.<\/li>\n<li>R. Bacci di Capaci, M. Vaccari, <strong>G. Pannocchia<\/strong>. Model predictive control design for multivariable processes in the presence of valve stiction.\u00a0<em>Journal of Process Control<\/em>, 70, 25-34, 2018.<\/li>\n<li>S. Adelipour, M. Haeri, G. Pannocchia.\u00a0Decentralized Robust Model Predictive Control for Multi-input Linear Systems.\u00a0In <em>Proceedings of UK ACC Control 2018<\/em>, Sheffield (UK), 13-18, 2018.<\/li>\n<li>G. Armenise, R. Bacci di Capaci, M. Vaccari, <strong>G. Pannocchia<\/strong>. An open-source System Identification Package for multivariable processes. In <em>Proceedings of UK ACC Control<\/em>, Sheffield (UK), 152-157, 2018.<\/li>\n<li>M. Vaccari, <strong>G. Pannocchia<\/strong>. Implementation of an economic MPC with robustly optimal steady-state behavior. In <em>Proceedings of IFAC Conference NMPC 2018<\/em>, Madison (WI, USA), <em>IFAC-PapersOnLine<\/em>, 51 (20), 92-97, 2018.<\/li>\n<li><strong>G. Pannocchia<\/strong>. An economic MPC formulation with offset-free asymptotic performance. In <em>Proceedings of IFAC Symposium ADCHEM 2018<\/em>, Shenyang (China), <em>IFAC-PapersOnLine<\/em>, 51 (18), 393-398, 2018.<\/li>\n<li>R. Bacci di Capaci, M. Vaccari, <strong>G. Pannocchia<\/strong>, C. Scali. Identification and estimation of valve stiction by the use of a smoothed model. In <em>Proceedings of IFAC Symposium ADCHEM 2018<\/em>, Shenyang (China), <em>IFAC-PapersOnLine<\/em>, 51 (18), 684-689, 2018.<\/li>\n<li>M. Razzanelli, <strong>G. Pannocchia<\/strong>. Parsimonious cooperative distributed MPC algorithms for offset-free tracking. <em>Journal of Process Control<\/em>, 60, 1-13, 2017.<\/li>\n<li>M. Schulze Darup, M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. On the Maximal Controller Gain in Linear MPC. In <em>Proceedings of IFAC World Congress, Toulouse (France), IFAC-PapersOnLine<\/em>, 50 (1), 9218-9223, 2017.<\/li>\n<li>R. Bacci di Capaci, M. Vaccari, <strong>G. Pannocchia<\/strong>. A Valve Stiction Tolerant Formulation of MPC for Industrial Processes. In <em>Proceedings of IFAC World Congress, Toulouse (France), IFAC-PapersOnLine<\/em>, 50 (1), 9044-9049, 2017.<\/li>\n<li>W. P. Heath, M. Polignano, <strong>G. Pannocchia<\/strong>. Observer-Based Offset-Free Internal Model Control. In P<em>roceedings of IFAC World Congress, Toulouse (France), IFAC-PapersOnLine<\/em>, 50 (1), 898-903, 2017.<\/li>\n<li>M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. Accelerating linear model predictive control by constraint removal. <em>European Journal of Control<\/em>, 35, 42-49, 2017.<\/li>\n<li>M. Vaccari, <strong>G. Pannocchia<\/strong>. A Modifier-Adaptation Strategy towards Offset-Free Economic MPC. <em>Processes<\/em>, 5(1), Art. no. 2, 2017.<\/li>\n<li>R. Bacci di Capaci, C. Scali, <strong>G. Pannocchia<\/strong>. System identification applied to stiction quantification in industrial control loops: A comparative study. <em>Journal of Process Control<\/em>, 46, 11-23, 2016.<\/li>\n<li>M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. Constraint removal in linear MPC: an improved criterion and complexity analysis. In <em>Proceedings of European Control Conference (ECC\u201916), 752-757, <\/em>Aalborg (Denmark), 2016.<\/li>\n<li>M. Razzanelli, <strong>G. Pannocchia<\/strong>. Parsimonious Cooperative Distributed MPC for Tracking Piece-Wise Constant Setpoints. Keynote lecture in <em>Proceedings of IFAC Symposium DYCOPS-CAB 2016, Trondheim (Norway). IFAC-PapersOnLine<\/em>, 49 (7), 520-525, 2016.<\/li>\n<li>M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. Online constraint removal: accelerating MPC with a Lyapunov function. <em>Automatica<\/em>, 57 (7), 164-169, 2015.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, D. Q. Mayne, G. M. Mancuso. Whither discrete time model predictive control? <em>IEEE Transactions on Automatic Control<\/em>, 60 (1), 246-252, 2015.<\/li>\n<li>M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. Accelerating tube-based model predictive control by constraint removal. In <em>Proceedings of 54th IEEE Conference on Decision and Control<\/em>, 3651-3656, Osaka (Japan), 2015.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Gabiccini, A. Artoni. Offset-free MPC explained: novelties, subtleties, and applications. Invited semi-plenary paper: in <em>Proceedings of 5th IFAC Conference on Nonlinear Model Predictive Control, Seville (Spain). IFAC-PapersOnLine<\/em>, 48(23), 342-351, 2015.<\/li>\n<li>B. Morabito, M. J. Koegel, E. Bullinger, <strong>G. Pannocchia<\/strong>, R. Findeisen. Simple and efficient moving horizon estimation based on the fast gradient method In <em>Proceedings of 5th IFAC Conference on Nonlinear Model Predictive Control, Seville (Spain). IFAC-PapersOnLine<\/em>, 48(23), 428-433, 2015.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Offset-free tracking MPC: A tutorial review and comparison of different formulations. In <em>Proceedings of the 2015 European Control Conference<\/em>, 527-532, Linz (Austria), 2015.<\/li>\n<li>M. Jost, <strong>G. Pannocchia<\/strong>, M. M\u00f6nnigmann. Assessing the speedup achievable by online constraint removal in MPC. In <em>Proceedings of the 2015 European Control Conference<\/em>, 3439-3444, Linz (Austria), 2015.<\/li>\n<li>R. Bacci di Capaci, C. Scali, <strong>G. Pannocchia<\/strong>. Identification techniques for stiction quantification in the presence of nonstationary disturbances. In <em>Proceedings of ADCHEM 2015, Whistler (BC, Canada). IFAC-PapersOnLine<\/em>, 28(8), 629-634, 2015.<\/li>\n<li class=\"enumerate\">G. M. Mancuso, E. Bini, <strong>G. Pannocchia<\/strong>. Optimal Priority Assignment of Control Tasks.<em> ACM Transactions on Embedded Computing Systems<\/em>, 13 (5s), Art. no. 161, 2014.<\/li>\n<li class=\"enumerate\"><strong>G. Pannocchia<\/strong>, S. J. Wright, J. B. Rawlings. On the use of suboptimal solvers for efficient cooperative distributed linear MPC. <em>Intelligent Systems, Control and Automation: Science and Engineering<\/em>, 69, 553-568, 2014.<\/li>\n<li class=\"enumerate\">G. Landucci, <strong>G. Pannocchia<\/strong>. On the Use of Dynamic Process Simulators for the Quantitative Assessment of Industrial Accidents. <em>Chemical Engineering Transactions<\/em> 36, 505-510, 2014.<\/li>\n<li class=\"enumerate\"><strong>G. Pannocchia<\/strong>. Distributed model predictive control. In: T. Samad, Baillieul (Eds.) <em>Encyclopedia of Systems and Control<\/em>, Springer, Article # 364755, Chapter # 5, 2014.<\/li>\n<li class=\"enumerate\"><strong>G. Pannocchia<\/strong>, A. De Luca, M. Bottai. Prediction error based performance monitoring, degradation diagnosis and remedies in offset-free MPC: Theory and applications. <em>Asian Journal of Control<\/em>, 16 (4), 995-1005, 2014.<\/li>\n<li id=\"x1-6026x13\" class=\"enumerate\">M. Laurino, A. Landi, <strong>G. Pannocchia<\/strong>. Parameters identification of HIV dynamic models for HAART treated patients: a comparative study. In <em>Proceedings of <span class=\"cmbrsl-10\">2014 American Control Conference<\/span><\/em>, 2759-2764, Portland (OR, USA), 2014.<\/li>\n<li><strong>G. Pannocchia<\/strong>, E. Morano, M. Laurino, S. Nozza, G. Tambussi, A. Landi. Identification and experimental validation of an HIV model for HAART treated patients. <em>Computer Methods and Programs in Biomedicine<\/em>, 112 (3), 432-440, 2013.<\/li>\n<li>G. Landucci, <strong>G. Pannocchia<\/strong>, C. Nicolella, L. Pelagagge. Analysis and simulation of an industrial vegetable oil refining process. <em>Journal of Food Engineering<\/em>, 116, 840-851, 2013.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Frassi, C. Verdicchio, A. Ansiati. A simulation tool for three-phase cryogenic separation of natural gas with high content of CO2. In <em>Chemical Engineering Greetings to Prof. Paolo Andreussi on the occasion of his 65th birthday<\/em> (A. Soldati Ed.), 237-242, 2013. ISBN 978-88-95608-56-3.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Bottai, A. De Luca. MPC performance monitoring of a rigorously simulated industrial process. In Proceedings of DYCOPS 2013 (10th International Symposium on Dynamics and Control of Process Systems), 601-606, Mumbai (India), 2013.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Bottai, A. De Luca. Application of a method to diagnose the source of performance degradation in MPC systems. <em>Chemical Engineering Transactions<\/em> 32, 1189-1194, Milan (Italy), 2013<\/li>\n<li>M. Laurino, M. Stano, M. Betta, <strong>G. Pannocchia<\/strong>, A. Landi. Combining pharmacological therapy and vaccination in chronic myeloid Leukemia via model predictive control. In <em>Proceedings of 35th Annual International Conference of the IEEE EMBS<\/em>, 3925-3928, Osaka (Japan), 2013.<\/li>\n<li><strong>G. Pannocchia<\/strong>, D. Q. Mayne, J. B. Rawlings, G. M. Mancuso. A parsimonious algorithm for the solution of continuous-time constrained LQR problems with guaranteed convergence. In <em>Proceedings of the 2013 European Control Conference<\/em>, 1553-1558, Zurich (Switzerland), 2013.<\/li>\n<li>S. Grammatico, <strong>G. Pannocchia<\/strong>. Achieving a large domain of attraction with short-horizon linear MPC via polyhedral Lyapunov functions. In <em>Proceedings of the 2013 European Control Conference<\/em>, 1059-1064, Zurich (Switzerland), 2013.<\/li>\n<li>F. Galvanin, M. Barolo, <strong>G. Pannocchia<\/strong>, F. Bezzo. A disturbance estimation approach for online model-based redesign of experiments in the presence of systematic modelling errors. <em>Computers and Chemical Engineering<\/em>, 42, 138-151, 2012.<\/li>\n<li>A. Bardi, <strong>G. Pannocchia<\/strong>. A multivariable approach for control system optimization of IGCC with CCS in DECARBit project, <em>Energy Procedia<\/em>, 23, 370-380, 2012.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. De Luca. Performance degradation diagnosis and remedies in offset-free MPC. In <em>Proceedings of 2012 American Control Conference<\/em>, Montreal (Canada), 2012.<\/li>\n<li><strong>G. Pannocchia<\/strong>, S. J. Wright, J. B. Rawlings. Partial enumeration MPC: Robust stability results and application to an unstable CSTR. <em>Journal of Process Control<\/em>, 21 (10), 1459-1466, 2011.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. Conditions under which suboptimal nonlinear model predictive control is inherently robust. <em>Systems and Control Letters<\/em>, 60 (9), 747-755, 2011.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. Inherently robust suboptimal nonlinear MPC: Theory and application. In <em>Proceedings of 50th IEEE Conference on Decision and Control and European Control Conference<\/em>, 3398-3403, Orlando, FL (USA), 2011.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. Is suboptimal nonlinear MPC inherently robust? In <em>Proceedings of 18th IFAC World Congress<\/em>, Paper WeB07.4, Milano (Italy), 2011.<\/li>\n<li>G. M. Mancuso, E. Bini, <strong>G. Pannocchia<\/strong>. Optimal computational resource allocation for control task under fixed priority scheduling. In <em>Proceedings of 18th IFAC World Congress<\/em>, Paper ThC07.1, Milano (Italy), 2011.<\/li>\n<li>G. Landucci, B. Nucci, M. Pierini, <strong>G. Pannocchia<\/strong>, L. Pelagagge, C. Nicolella. Hazards assessment of vegetable oil storage and processing plants. <em>Chemical Engineering Transactions<\/em> 24, 1093-1098, 2011.<\/li>\n<li>F. Galvanin, M. Barolo, <strong>G. Pannocchia<\/strong>, F. Bezzo. A disturbance estimation approach for online model-based redesign of experiments in the presence of systematic errors. In <em>Proceedings of 21st European Symposium on Computer-Aided Process Engineering<\/em>, 467-471, Porto Carras (Greece), 2011.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, D. Q. Mayne, W. Marquardt. On computing solutions to the continuous time constrained linear quadratic regulator.<em> IEEE Transactions on Automatic Control<\/em>, 55 (9), 2192-2198, 2010.<\/li>\n<li>B. T. Stewart, A. N. Venkat, J. B. Rawlings, S. J. Wright, <strong>G. Pannocchia<\/strong>. Cooperative distributed model predictive control. <em>Systems and Control Letters<\/em>, 59 (8), 460-469, 2010.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Laurino, A. Landi. A model predictive control strategy toward optimal structured treatment interruptions in anti-HIV therapy. <em>IEEE Transactions on Biomedical Engineering<\/em>, 57 (5), 1040-1050, 2010.<\/li>\n<li><strong>G. Pannocchia<\/strong> and M. Calosi. A predictor form PARSIMonious algorithm for closed-loop subspace identification. <em>Journal of Process Control<\/em>, 20 (4), 517-524, 2010.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. Partial enumeration MPC: Robust stability results and application to an unstable CSTR. In <em>Proceedings of DYCOPS 2010 (9th International Symposium on Dynamics and Control of Process Systems)<\/em>, 7-12, Leuven (Belgium), 2010.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Calosi. Closed-loop PARSIMonious subspace identification: Theory and application to MPC. In <em>Proceedings of DYCOPS 2010 (9th International Symposium on Dynamics and Control of Process Systems)<\/em>, 361-366, Leuven (Belgium), 2010.<\/li>\n<li>E. Biagini, L. Masoni, M. Simone, E. Bargagna, <strong>G. Pannocchia<\/strong>, C. Nicolella, L. Tognotti. Advanced process models for biomass gasifiers. In <em>Proceedings of 18th Biomass European Conference &amp; Exhibition<\/em>, 838-846, Lion (France), 2010.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Landi, M. Laurino. On the use of nonlinear model predictive control for pharmacological therapy optimization. In <em>Proceedings of 2010 IEEE Workshop on Health Care Management<\/em>, Paper no. 5441282, Venice (Italy), 2010.<\/li>\n<li>E. Biagini, A. Bardi, <strong>G. Pannocchia<\/strong>, L. Tognotti. Development of a gasifier model for process optimization studies. <em>Industrial &amp; Engineering Chemistry Research<\/em>, 48 (19), 9028-9033, 2009.<\/li>\n<li><strong>G. Pannocchia<\/strong>, G. Scaturchio, A. Brambilla. A prediction error-based method for the performance monitoring of model predictive controllers. In: L. Ferrarini, C. Veber (Eds.) Modeling, Control, <em>Simulation and Diagnosis of Complex Industrial and Energy Systems<\/em>, 183-204, 2009. ISBN\/ISSN: 978-1-934394-90-8.<\/li>\n<li>B. T. Stewart, J. B. Rawlings, <strong>G. Pannocchia<\/strong>. Cooperative, distributed model predictive control for managing resource coupled constraints. In <em>Proceedings of AIChE Ethylene Producers Conference<\/em>, 309-321, Tampa (FL, USA), 2009.<\/li>\n<li><strong>G. Pannocchia<\/strong>, S. J. Wright, B. T. Stewart, J. B. Rawlings. Efficient cooperative distributed MPC using partial enumeration. In <em>Proceedings of ADCHEM 2009 (International Symposium on Advanced Control of Chemical Process)<\/em>, 637-642, Istanbul (Turkey), 2009.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, D. Q. Mayne, W. Marquardt. Computation of the infinite horizon continuous time constrained linear quadratic regulator. In <em>Proceedings of ADCHEM 2009 (International Symposium on Advanced Control of Chemical Process)<\/em>, 243-248, Istanbul (Turkey), 2009.<\/li>\n<li>E. Biagini, L. Masoni, <strong>G. Pannocchia<\/strong>, L. Tognotti. Development of gasifier models for hydrogen production optimization. In <em>Proceedings of ICheaP-9 (9-th International Conference on Chemical and Process Engineering), Chemical Engineering Transactions<\/em> 17, 1221-1226, Rome (Italy), 2009.<\/li>\n<li>A. Micchi, <strong>G. Pannocchia<\/strong>. Comparison of input signals in subspace identification of multivariable ill-conditioned systems. <em>Journal of Process Control<\/em>, 18 (6), 582-593, 2008.<\/li>\n<li>E. Biagini, <strong>G. Pannocchia<\/strong>, L. Tognotti. An optimization approach to integrated gasification processes for hydrogen production. In <em>Proceedings of 31th Meeting on Combustion<\/em>, Paper no. XII-3, Turin (Italy), 2008.<\/li>\n<li>E. Biagini, A. Frassi, T. Bacci, <strong>G. Pannocchia<\/strong>, L. Tognotti. Process study on hydrogen production from co-gasification of biomass fuels. In <em>Proceedings of 16th European Conference &amp; Exhibition<\/em> &#8211; Fiera Valencia, 1025-1039, Valencia (Spain), 2008.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Puccini, M. Seggiani, S. Vitolo. Experimental and modelling studies on high temperature capture of CO2 using lithium zirconate based sorbents. <em>Industrial &amp; Engineering Chemistry Research<\/em>, 46, 6696-6706, 2007.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Brambilla. How auxiliary variables and plant data collection affect closed-loop performance of inferential control. <em>Journal of Process Control<\/em>, 17 (8), 653-663, 2007.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Bemporad. Combined design of disturbance model and observer for offset-free model predictive control. <em>IEEE Transactions on Automatic Control<\/em>, 52 (6), 1048-1053, 2007.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. Fast, large-scale model predictive control by partial enumeration. Automatica, 43 (5), 852-860, 2007.<\/li>\n<li>A. Micchi, <strong>G. Pannocchia<\/strong>. On test design for subspace identification of multivariable ill-conditioned systems. In <em>Proceedings of DYCOPS 2007 (8th International Symposium on Dynamics and Control of Process Systems)<\/em>, vol. 2, 219-224, Cancun (Mexico), 2007.<\/li>\n<li><strong>G. Pannocchia<\/strong>, C. Scali. A new performance evaluation strategy for decentralized multivariable PID control systems. In <em>Proceedings of DYCOPS 2007 (8th International Symposium on Dynamics and Control of Process Systems)<\/em>, vol. 3, 187-192. Cancun (Mexico), 2007.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Brambilla. Model predictive control for optimal oral anticoagulant drug administration. <em>AIChE Journal<\/em>, 52 (9), 3315-3320, 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, G. Scaturchio, A. Brambilla. A prediction error based method for performance monitoring of model predictive controllers. In <em>Proceedings of ANIPLA 2006, International Congress on Methodologies for Emerging Technologies in Automation<\/em>, M214. Rome (Italy), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Puccini, A. Catani, S. Vitolo, M. Innocenti. High temperature capture of CO2 on lithium zirconate based sorbents: Modelling and experimental studies. In <em>Proceedings of First Mediterranean Congress on Chemical Engineering for Environment<\/em>, 18-24, Venice (Italy), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, M. Bientinesi, S. Vitolo, D. Castiello, N. Andreanini. Development and validation of an activated sludge model for an MBR equipped domestic wastewater plant. In <em>Proceedings of First Mediterranean Congress on Chemical Engineering for Environment<\/em>, 133-140, Venice (Italy), 2006.<\/li>\n<li>E. Biagini, <strong>G. Pannocchia<\/strong>, M. Zanobini, G. Gigliucci, I. Riccardi, F. Donatini, L. Tognotti. Process optimization of hydrogen production from coal gasification. In <em>Proceedings of 29th Meeting on Combustion<\/em>, Paper no. VI-5, Pisa (Italy), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Micchi, R. Bulleri, A. Brambilla, G. Marchetti. Multivariable subspace identification and predictive control of a heat-integrated superfractionator. In <em>Proceedings of ADCHEM 2006 (International Symposium on Advanced Control of Chemical Process)<\/em>, 421-426, Gramado (Brazil), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, L. Gallinelli, A. Brambilla, G. Marchetti, F. Trivella. Rigorous simulation and model predictive control of a crude distillation unit. In <em>Proceedings of ADCHEM 2006 (International Symposium on Advanced Control of Chemical Process)<\/em>, 635-640, Gramado (Brazil), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings, S. J. Wright. A partial enumeration strategy for fast large-scale linear model predictive control. In <em>Proceedings of CPC 7 (Chemical Process Control)<\/em>, Lake Luise, Alberta (Canada), 2006.<\/li>\n<li><strong>G. Pannocchia<\/strong>, E. C. Kerrigan. Offset-free receding horizon control of constrained linear systems. <em>AIChE Journal<\/em>, 51 (12), 3134-3146, 2005.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Brambilla. How to use simplified dynamics in model predictive control of superfractionators. <em>Industrial &amp; Engineering Chemistry Research<\/em>, 44 (8), 2687-2696, 2005.<\/li>\n<li><strong>G. Pannocchia<\/strong>, N. Laachi, J. B. Rawlings. A candidate to replace PID control: SISO constrained LQ control. <em>AIChE Journal<\/em>, 51 (4), 1178-1189, 2005.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Robust model predictive control with guaranteed setpoint tracking. <em>Journal of Process Control<\/em>, 14 (8), 927-937, 2004.<\/li>\n<li><strong>G. Pannocchia<\/strong>, N. Laachi, J. B. Rawlings. A fast, easily tuned, SISO, model predictive controller. In <em>Proceedings of DYCOPS 7 (International Symposium on Dynamics and Control of Process Systems)<\/em>, Paper WA3.5, Cambridge, MA (USA), 2004.<\/li>\n<li><strong>G. Pannocchia<\/strong>, P. Leoni, A. Brambilla. A critical comparison of linear and nonlinear property estimators in inferential control. In <em>Proceedings of DYCOPS 7 (International Symposium on Dynamics and Control of Process Systems)<\/em>, Paper WP2.3, Cambridge, MA (USA), 2004.<\/li>\n<li>D. Pastore, A. Brambilla, <strong>G. Pannocchia<\/strong>. Estimator design with PLS model for consistent control of refinery main fractionators. In <em>Proceedings of ADCHEM 2003 (International Symposium on Advanced Control of Chemical Processes)<\/em>, vol. I, 129-134, Hong Kong, 2004.<\/li>\n<li>M. Seggiani, <strong>G. Pannocchia<\/strong>. Prediction of coal ash thermal properties using partial least squares regression. <em>Industrial &amp; Engineering Chemistry Research<\/em>, 42 (20), 4919-4926, 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Brambilla. Consistency of property estimators in distillation column control. Industrial &amp; Engineering Chemistry Research, 42 (20), 4452-4460, 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Robust disturbance modeling for model predictive control with application to multivariable ill-conditioned processes. <em>Journal of Process Control<\/em>, 13 (8), 693-701, 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>, S. J. Wright, J. B. Rawlings. Existence and computation of infinite horizon model predictive control with active steady-state input constraints. <em>IEEE Transactions on Automatic Control<\/em>, 48 (6), 1002-1006, 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings. Disturbance models for offset-free model predictive control. <em>AIChE Journal<\/em>, 49 (2), 426-437, 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>, E. C. Kerrigan. Offset-free control of constrained linear discrete-time systems subject to persistent unmeasured disturbances. In <em>Proceedings of 42nd IEEE Conference on Decision and Control<\/em>, 3911-3916, Hawaii (USA), 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>, A. Brambilla. Implications of the training data set on the performance of property estimators. In <em>Proceedings of 6-th Italian Conference on Chemical and Process Engineering<\/em>, vol. II, 1117-1122. Pisa (Italy), 2003.<\/li>\n<li><strong>G. Pannocchia<\/strong>. Robust offset-free model predictive control. In <em>Proceedings of the 15th IFAC World Congress<\/em>, Paper T-We-A17-5, Barcelona (Spain), 2002.<\/li>\n<li><strong>G. Pannocchia<\/strong>, J. B. Rawlings. Infinite horizon model predictive control with active steady-state constraints. In <em>Annual AIChE Meeting<\/em>, Paper no. 284a, Reno, NV (USA), 2001.<\/li>\n<li><strong>G. Pannocchia,<\/strong> D. Semino. Use of different kinds of linear models in predictive control of distillation columns. In <em>Proceedings of ADCHEM 2000 (International Symposium on Advanced Control of Chemical Processes)<\/em>, vol. II, 713-718, Pisa (Italy), 2000.<\/li>\n<li><strong>G. Pannocchia<\/strong>, D. Semino. Implications of distillation column design on ill-conditioning. In <em>Proceedings of ADCHEM 2000 (International Symposium on Advanced Control of Chemical Processes)<\/em>, vol. I, 557-562, Pisa (Italy), 2000.<\/li>\n<li><strong>G. Pannocchia<\/strong>, D. Semino. Optimal modified models for robust predictive controllers. In <em>Proceedings of the 14th IFAC World Congress<\/em>, vol. N-7, 157-162, Beijing (China), 1999.<\/li>\n<li>D. Semino, <strong>G. Pannocchia<\/strong>. Robust multivariable inverse based controllers: theory and application. <em>Industrial &amp; Engineering Chemistry Research<\/em>, 38 (6), 2375-2382, 1999.<\/li>\n<li>D. Semino, <strong>G. Pannocchia<\/strong>. Robust optimized decouplers and inverse-based controllers. In <em>Proceedings of the Mediterranean Conference on Electronics and Automatic Control<\/em>, 468-471, Marrakech (Maroc), 1998.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>M. Alamir, G. Pannocchia. A new formulation of Economic Model Predictive Control without terminal constraint. Automatica,\u00a0125 (3), 109420, 2021. 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