Assessment and future directions of nonlinear model predictive control. Selected papers based on the presentations at the workshop (NMPC05), Freudenstadt-Lauterbad, Germany, August 26–30, 2005. (English) Zbl 1116.93009

Lecture Notes in Control and Information Sciences 358. Berlin: Springer (ISBN 978-3-540-72698-2/pbk). xii, 642 p. (2007).

Show indexed articles as search result.

The articles of this volume will be reviewed individually.
Indexed articles:
Camacho, Eduardo F.; Bordons, Carlos, Nonlinear model predictive control: an introductory review, 1-16 [Zbl 1223.93037]
Tuna, S. Emre; Sanfelice, Ricardo G.; Messina, Michael J.; Teel, Andrew R., Hybrid MPC: open-minded but not easily swayed, 17-34 [Zbl 1223.93101]
Gyurkovics, Éva; Elaiw, Ahmed M., Conditions for MPC based stabilization of sampled-data nonlinear systems via discrete-time approximations, 35-48 [Zbl 1223.93103]
Kothare, Mayuresh V.; Wan, Zhaoyang, A computationally efficient scheduled model predictive control algorithm for control of a class of constrained nonlinear systems, 49-62 [Zbl 1223.93031]
Rossiter, John Anthony; Pluymers, Bert; De Moor, Bart, The potential of interpolation for simplifying predictive control and application to LPV systems, 63-76 [Zbl 1223.93079]
Mhaskar, Prashant; El-Farra, Nael H.; Christofides, Panagiotis D., Techniques for uniting Lyapunov-based and model predictive control, 77-91 [Zbl 1223.93053]
Lazar, M.; Heemels, W. P. M. H.; Bemporad, A.; Weiland, S., Discrete-time non-smooth nonlinear MPC: stability and robustness, 93-103 [Zbl 1220.93046]
Grüne, L.; Nešić, D.; Pannek, J., Model predictive control for nonlinear sampled-data systems, 105-113 [Zbl 1223.93081]
Fontes, Fernando A. C. C.; Magni, Lalo; Gyurkovics, Eva, Sampled-data model predictive control for nonlinear time-varying systems: stability and robustness, 115-129 [Zbl 1220.93047]
Alamo, T.; Fiacchini, M.; Cepeda, A.; Limon, D.; Bravo, J. M., On the computation of robust control invariant sets for piecewise affine systems, 131-139 [Zbl 1223.93022]
Srinivasarao, Meka; Patwardhan, Sachin C.; Gudi, R. D., Nonlinear predictive control of irregularly sampled data systems using identified observers, 141-149 [Zbl 1223.93055]
Raff, Tobias; Ebenbauer, Christian; Allgöwer, Frank, Nonlinear model predictive control: a passivity-based approach, 151-162 [Zbl 1223.93095]
Bock, Hans Georg; Diehl, Moritz; Kühl, Peter; Kostina, Ekaterina; Schlöder, Johannes P.; Wirsching, Leonard, Numerical methods for efficient and fast nonlinear model predictive control, 163-179 [Zbl 1223.93052]
Grancharova, Alexandra; Johansen, Tor A.; Tøndel, Petter, Computational aspects of approximate explicit nonlinear model predictive control, 181-192 [Zbl 1223.93030]
Sakizlis, V.; Kouramas, K. I.; Faisca, N. P.; Pistikopoulos, E. N., Towards the design of parametric model predictive controllers for non-linear constrained systems, 193-205 [Zbl 1220.93030]
Wills, Adrian G.; Heath, William P., Interior-point algorithms for nonlinear model predictive control, 207-216 [Zbl 1223.93034]
Long, Christopher E.; Gatzke, Edward P., Hard constraints for prioritized objective nonlinear MPC, 217-228 [Zbl 1223.93032]
Romanenko, Andrey; Santos, Lino O., A nonlinear model predictive control framework as free software: outlook and progress report, 229-238 [Zbl 1223.93033]
Magni, Lalo; Scattolini, Riccardo, Robustness and robust design of MPC for nonlinear discrete-time systems, 239-254 [Zbl 1223.93045]
Cannon, Mark; Couchman, Paul; Kouvaritakis, Basil, MPC for stochastic systems, 255-268 [Zbl 1223.93119]
Maciejowski, Jan M.; Lecchini Visintini, Andrea; Lygeros, John, NMPC for complex stochastic systems using a Markov chain Monte Carlo approach, 269-281 [Zbl 1223.93120]
Chen, Hong; Gao, Xingquan; Wang, Hu; Findeisen, Rolf, On disturbance attenuation of nonlinear moving horizon control, 283-294 [Zbl 1223.93038]
Xie, Lei; Li, Pu; Wozny, Günter, Chance constrained nonlinear model predictive control, 295-304 [Zbl 1223.93125]
Arellano-Garcia, Harvey; Wendt, Moritz; Barz, Tilman; Wozny, Guenter, Close-loop stochastic dynamic optimization under probabilistic output-constraints, 305-315 [Zbl 1223.93118]
Limon, D.; Alamo, T.; Bravo, J. M.; Camacho, E. F.; Ramirez, D. R.; de la Pena, Muñoz D.; Alvarado, I.; Arahal, M. R., Interval arithmetic in robust nonlinear MPC, 317-326 [Zbl 1223.93044]
Gabasov, Rafail; Kirillova, Faina M.; Dmitruk, Natalia M., Optimal online control of dynamical systems under uncertainty, 327-334 [Zbl 1223.49037]
Blank, Luise, State estimation analysed as inverse problem, 335-346 [Zbl 1223.49038]
Alessandri, Angelo; Baglietto, Marco; Battistelli, Giorgio, Minimum-distance receding-horizon state estimation for switching discrete-time linear systems, 347-358 [Zbl 1223.93078]
Jørgensen, John Bagterp; Kristensen, Morten Rode; Thomsen, Per Grove; Madsen, Henrik, New extended Kalman filter algorithms for stochastic differential algebraic equations, 359-366 [Zbl 1220.93072]
Bartusiak, R. Donald, NLMPC: a platform for optimal control of feed- or product-flexible manufacturing, 367-381 [Zbl 1223.93036]
Igreja, José M.; Lemos, João M.; da Silva, Rui Neves, Controlling distributed hyperbolic plants with adaptive nonlinear model predictive control, 435-441 [Zbl 1223.93042]
Muske, Kenneth R.; Witmer, Amanda E.; Weinstein, Randy D., A minimum-time optimal recharging controller for high pressure gas storage systems, 443-453 [Zbl 1223.49043]
Kühl, Peter; Diehl, Moritz; Milewska, Aleksandra; Molga, Eugeniusz; Bock, Hans Georg, Robust NMPC for a benchmark fed-batch reactor with runaway conditions, 455-464 [Zbl 1223.93092]
Nagy, Zoltan K.; Mahn, Bernd; Franke, Rüdiger; Allgöwer, Frank, Real-time implementation of nonlinear model predictive control of batch processes in an industrial framework, 465-472 [Zbl 1223.93046]
Küpper, Achim; Engell, Sebastian, Nonlinear model predictive control of the Hashimoto simulated moving bed process, 473-483 [Zbl 1220.93058]
Lepore, Renato; Wouwer, Alain Vande; Remy, Marcel; Bogaerts, Philippe, Receding-horizon estimation and control of ball mill circuits, 485-493 [Zbl 1223.93043]
De Keyser, Robin; Donald, James III, Application of the NEPSAC nonlinear predictive control strategy to a semiconductor reactor, 503-512 [Zbl 1223.93039]
Deshpande, Anjali; Patwardhan, Sachin C.; Narasimhan, Shankar, Integrating fault diagnosis with nonlinear model predictive control, 513-521 [Zbl 1223.93110]
Alamir, Mazen, A low dimensional contractive NMPC scheme for nonlinear systems stabilization: theoretical framework and numerical investigation on relatively fast systems, 523-535 [Zbl 1223.93035]
Dehaan, Darryl; Guay, Martin, A new real-time method for nonlinear model predictive control, 537-550 [Zbl 1220.93039]
Gros, Sebastien; Buccieri, Davide; Mullhaupt, Philippe; Bonvin, Dominique, A two-time-scale control scheme for fast unconstrained systems, 551-563 [Zbl 1220.93025]
Hu, Xiao-Bing; Chen, Wen-Hua, Receding horizon control for free-flight path optimization, 565-572 [Zbl 1220.49025]
Fujita, Masayuki; Murao, Toshiyuki; Kawai, Yasunori; Nakaso, Yujiro, An experimental study of stabilizing receding horizon control of visual feedback system with planar manipulators, 573-580 [Zbl 1220.93053]
Casavola, Alessandro; Famularo, Domenico; Franzè, Giuseppe, Coordination of networked dynamical systems, 581-589 [Zbl 1220.93022]
Venkat, Aswin N.; Rawlings, James B.; Wright, Stephen J., Distributed model predictive control of large-scale systems, 591-605 [Zbl 1220.93004]
Dunbar, William B.; Desa, S., Distributed MPC for dynamic supply chain management, 607-615 [Zbl 1220.93057]
Raković, Saša V.; Mayne, David Q., Robust model predictive control for obstacle avoidance: discrete time case, 617-627 [Zbl 1220.93009]
Arrieta-Camacho, Juan J.; Biegler, Lorenz T.; Subramanian, Dharmashankar, Trajectory control of multiple aircraft: an NMPC approach, 629-639 [Zbl 1220.49024]


93-06 Proceedings, conferences, collections, etc. pertaining to systems and control theory
00B25 Proceedings of conferences of miscellaneous specific interest
Full Text: DOI