Cited by 8,736Advanced Control Systems OptimizationAdvanced Optimization Algorithms ResearchStability and Control of Uncertain Systems

The DOI matches its Crossref record; 124 of the 127 references it cites were found in a registry or an index.

Constrained model predictive control: Stability and optimality

Mayne, D.Q., Rawlings, J.B., Rao, C.V., Scokaert, P.O.M.·2000·Automatica

DOI 10.1016/s0005-1098(99)00214-9

Open this paper in CoChat — free account

Integrity signals

Registry

Crossref · 10.1016/s0005-1098(99)00214-9

Cites

124 of 124 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Dynamic Programming
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Model predictive control: Theory and practice—A survey
García, C. E., Prett, D. M., & Morari, M. (1989) · Automatica · doi:10.1016/0005-1098(89)90002-2 · Cited by 5,392
Model Predictive Control
Lee, J. H., Kaisare, N. S., & García, C. E. (2007) · Springer eBooks · doi:10.1002/9781394333325.fmatter · Cited by 3,766
Generalized predictive control - Part I. The basic algorithm
Clarke, D., Mohtadi, C., & Tuffs, P. (1987) · at - Automatisierungstechnik · doi:10.1016/0005-1098(87)90087-2 · Cited by 3,712
Introduction to Stochastic Control Theory
(1970) · Mathematics in Science and Engineering/Mathematics in science and engineering · doi:10.1016/s0076-5392(09)x6015-7 · Cited by 3,205
Control of systems integrating logic, dynamics, and constraints
Bemporad, A., & Morari, M. (1999) · Automatica · doi:10.1016/s0005-1098(98)00178-2 · Cited by 3,048
Deterministic and Stochastic Optimal Control
Fleming, W. H., & Rishel, R. (1975) · Springer eBooks · doi:10.1007/978-1-4612-6380-7 · Cited by 2,747
Deterministic and Stochastic Optimal Control.
Bather, J. A., Fleming, W. H., & Rishel, R. (1976) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344363 · Cited by 2,690
Robust constrained model predictive control using linear matrix inequalities
Kothare, M. V., Balakrishnan, V., & Morari, M. (1996) · Automatica · doi:10.1016/0005-1098(96)00063-5 · Cited by 2,521
Model predictive control: past, present and future
Morari, M., & H. Lee, J. (1999) · Computers & Chemical Engineering · doi:10.1016/s0098-1354(98)00301-9 · Cited by 2,335

Show all 127 references

Research works printed but not linked: 13

Allwright, J. C., (1993). On min-max model-based predictive control. Proceedings Oxford symposium on advances in model based predictive control, Oxford (pp. 4153–426).
Camacho, E., & Bordons, C. (1998). Model predictive control. Berlin: Springer.
De Nicolao, G., Magni, L., & Scattolini, R. (1996c). Stabilizing nonlinear receding horizon control via a nonquadratic penalty. Proceedings of the IMACS multiconference CESA, vol. 1, Lille, France (pp. 185–187).
Gauthier, 1983, Commande multivariable en présence de constraintes de type inégalité, Revue d'Automatique d'Informatique et de Recherche Opérationnelle (RAIRO), 17, 205
Kantor, J. C., Garcı́a, C. E., & Carnahan, B. (1997). (Eds.), Fifth international conference on chemical process control, CACHE, A.I.Ch.E.
Magni, M., De Nicolao, G., Scattolini, R., & Allgöwer, F. (1999a). H∞ receding horizon control for non-linear discrete-time systems. Systems & Control Letters, submitted. · DOI
Mayne, D. Q. (1997). Nonlinear model predictive control: An assessment. In: J. C. Kantor, C. E. Garcı́a, & B. Carnahan (Eds.), Fifth International Conference on Chemical Process Control, CACHE, A.I.Ch.E. (pp. 217–231).
Mosca, E. (1994). Optimal, predictive and adaptive control, Information and system science Series. Englewoods Cliffs, NJ: Prentice Hall.
Qin, S. J., & Badgwell, T. A. (1997). An overview of industrial model predictive control technology. In: J. C. Kantor, C. E. Garcı́a, & B. Carnahan (Eds.), Fifth International Conference on Chemical Process Control, CACHE, AIChE, (pp. 232–256).
Rao, C. V., & Rawlings, J. B. (1998). Nonlinear moving horizon estimation. Preprints of international symposium on nonlinear model predictive control: Assessment and future directions, Monte Verità, Ascona, Switzerland (pp. 146–163).
Richalet, J., Rault, A., Testud, J. L., & Papon, J. (1976). Algorithmic control of industrial processes. Proceedings of the Fourth IFAC symposium on identification and system parameter estimation (pp. 1119–1167).
Robertson, D., & Lee, J. (1996). Statistical interpretation of constrained moving horizon estimation. Proceedings of A.I.Ch.E annual meeting, Chicago, IL.
Wright, S. J. (1997). Applying new optimization algorithms to model predictive control. In: J.C. Kantor, C.E. Garcı́a, B. Carnahan (Eds.), Fifth international conference on chemical process control, CACHE, AIChE (pp. 147–155).

Sorted by citations

Items 501–600 of 1,004

Economic MPC for a Changing Economic Criterion for Linear Systems
Ferramosca, A., Limón, D., & Camacho, E. F. (2014) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2014.2326013 · Cited by 111
Stochastic tube MPC with state estimation
Cannon, M., Cheng, Q., Kouvaritakis, B., & Raković, S. V. (2012) · Automatica · doi:10.1016/j.automatica.2011.08.058 · Cited by 111
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System
Kayacan, E., Kayacan, E., Ramón, H., & Saeys, W. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2014.2321514 · Cited by 111
“The last part of the objective function is referred to as terminal cost and stated for stability reasons in NMPC [15].”
Background
Model Predictive Stabilization of Constrained Underactuated Autonomous Underwater Vehicles With Guaranteed Feasibility and Stability
Li, H., & Yan, W. (2016) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2016.2587288 · Cited by 111
Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints
Edalati, L., Sedigh, A. K., Shoorehdeli, M. A., & Moarefianpour, A. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.07.036 · Cited by 111
Optimal Operation of Heavy-Haul Trains Equipped With Electronically Controlled Pneumatic Brake Systems Using Model Predictive Control Methodology
Zhang, L., & Zhuan, X. (2013) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2013.2238235 · Cited by 110
Model-Predictive Gust Load Alleviation Controller for a Highly Flexible Aircraft
Haghighat, S., Liu, H. H. T., & Martins, J. R. R. A. (2012) · Journal of Guidance Control and Dynamics · doi:10.2514/1.57013 · Cited by 110
A software framework for model predictive control with GenOpt
Coffey, B., Haghighat, F., Morofsky, E., & Kutrowski, E. (2010) · Energy and Buildings · doi:10.1016/j.enbuild.2010.01.022 · Cited by 110
A feedback min-max MPC algorithm for LPV systems subject to bounded rates of change of parameters
Casavola, A., Famularo, D., & Franzè, G. (2002) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2002.800662 · Cited by 110
Nonlinear model predictive control for path following problems
Yu, S., Li, X., Chen, H., & Allgöwer, F. (2014) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3133 · Cited by 109
Airborne Wind Energy: An overview
Fagiano, L., & Milanese, M. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6314801 · Cited by 109
Optimal Synchronization Control of High-Precision Motion Systems
Xiao, Y., & Zhu, K. Y. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.878317 · Cited by 109
Model Predictive Controller for Active Demand Side Management with PV self-consumption in an intelligent building
Zong, Y., Mihet‐Popa, L., Kullmann, D., Thavlov, A., Gehrke, O., & Bindner, H. W. (2012) · IEEE PES Innovative Smart Grid Technologies Europe · doi:10.1109/isgteurope.2012.6465618 · Cited by 109
Output feedback model predictive control for LPV systems based on quasi-min–max algorithm
Park, J.-H., Kim, T.-H., & Sugie, T. (2011) · Automatica · doi:10.1016/j.automatica.2011.06.015 · Cited by 108
Integration of control theory and scheduling methods for supply chain management
Subramanian, K., Rawlings, J. B., Maravelias, C. T., Flores‐Cerrillo, J., & Megan, L. (2012) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2012.06.012 · Cited by 108
Self-citation
A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions
Zheng, Y., Zhou, J., Xu, Y., Zhang, Y., & Qian, Z. (2017) · ISA Transactions · doi:10.1016/j.isatra.2017.03.009 · Cited by 108
Cloud-Based MPC with Encrypted Data
Alexandru, A. B., Morari, M., & Pappas, G. J. (2018) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2018.8619835 · Cited by 108
Model predictive control for systems with stochastic multiplicative uncertainty and probabilistic constraints
Cannon, M., Kouvaritakis, B., & Wu, X. (2008) · Automatica · doi:10.1016/j.automatica.2008.06.017 · Cited by 108
Advances and applications of chance-constrained approaches to systems optimisation under uncertainty
Geletu, A., Klöppel-Gersdorf, M., Zhang, H., & Li, P. (2012) · International Journal of Systems Science · doi:10.1080/00207721.2012.670310 · Cited by 108
Model-Predictive Dynamic Control Allocation Scheme for Reentry Vehicles
Luo, Y., Serrani, A., Yurkovich, S., Oppenheimer, M. W., & Doman, D. (2006) · Journal of Guidance Control and Dynamics · doi:10.2514/1.25473 · Cited by 108
Constrained predictive control synthesis for quantized systems with Markovian data loss
Zou, Y., Lam, J., Niu, Y., & Li, D. (2015) · Automatica · doi:10.1016/j.automatica.2015.03.016 · Cited by 107
A control matching model predictive control approach to string stable vehicle platooning
Kianfar, R., Falcone, P., & Fredriksson, J. (2015) · Control Engineering Practice · doi:10.1016/j.conengprac.2015.09.011 · Cited by 107
Neural Networks for Modeling and Control of Particle Accelerators
Edelen, A. L., Biedroń, S. G., Chase, B. E., Edstrom, D., Milton, S. V., & Stabile, P. (2016) · IEEE Transactions on Nuclear Science · doi:10.1109/tns.2016.2543203 · Cited by 120
Low-Cost Approximation-Based Adaptive Tracking Control of Output-Constrained Nonlinear Systems
Zhao, K., Song, Y., Meng, W., Chen, C. L. P., & Chen, L. (2020) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.3026078 · Cited by 107
Output feedback and tracking of nonlinear systems with model predictive control
Magni, L., Nicolao, G. D., & Scattolini, R. (2001) · Automatica · doi:10.1016/s0005-1098(01)00102-9 · Cited by 107
Safety-critical control of a planar quadrotor
Wu, G., & Sreenath, K. (2016) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2016.7525253 · Cited by 106
Data-Driven Predictive Control for Autonomous Systems
Rosolia, U., Zhang, X., & Borrelli, F. (2018) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-060117-105215 · Cited by 106
Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm
Mohammadi, A., Asadi, H., Mohamed, S. M. K., Nelson, K. J., & Nahavandi, S. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2018.2845661 · Cited by 106
Event-Based Adaptive Neural Control of Nonlinear Systems With Deferred Constraint
Zhao, K., Chen, L., & Chen, C. L. P. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3143359 · Cited by 106
“, set invariance control [6], model predictive control [7], reference governors [8], Barrier Lyapunov Function”
Background
A model predictive control framework for industrial turbodiesel engine control
Stewart, G. E., & Borrelli, F. (2008) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2008.4739384 · Cited by 106
Efficient On-Line Computation of Constrained Optimal Control
Baotić, M., Borrelli, F., Bemporad, A., & Morari, M. (2008) · SIAM Journal on Control and Optimization · doi:10.1137/060659314 · Cited by 106
On the Robustness of $\mathcalKL$-stability for Difference Inclusions: Smooth Discrete-Time Lyapunov Functions
Kellett, C. M., & Teel, A. R. (2005) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012903435862 · Cited by 105
A robust linear MPC approach to online generation of 3D biped walking motion
Brasseur, C., Sherikov, A., Collette, C., Dimitrov, D., & Wieber, P.-B. (2015) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/humanoids.2015.7363423 · Cited by 105
Optimized FPGA Implementation of Model Predictive Control for Embedded Systems Using High-Level Synthesis Tool
Lucia, S., Navarro, D., Lucía, Ó., Zometa, P., & Findeisen, R. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2719940 · Cited by 105
Invisible Control of Self-Organizing Agents Leaving Unknown Environments
Albi, G., Bongini, M., Cristiani, E., & Dante Kalise, B. (2016) · SIAM Journal on Applied Mathematics · doi:10.1137/15m1017016 · Cited by 105
An intelligent thermal management system for optimized lithium-ion battery pack
Zhuang, W., Liu, Z., Su, H., & Chen, G. (2021) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2021.116767 · Cited by 105
Towards the Unification of Locomotion and Manipulation through Control Lyapunov Functions and Quadratic Programs
Ames, A. D., & Powell, M. (2013) · Lecture notes in control and information sciences · doi:10.1007/978-3-319-01159-2_12 · Cited by 105
Neural Network-Based Model Predictive Control: Fault Tolerance and Stability
Patan, K. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2014.2354981 · Cited by 104
Path following for an omnidirectional mobile robot based on model predictive control
Kiattisin Kanjanawanishkul, A., & Zell, A. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152217 · Cited by 104
Barrier Lyapunov Functions-Based Adaptive Fault Tolerant Control for Flexible Hypersonic Flight Vehicles With Full State Constraints
Yuan, Y., Wang, Z. X., Guo, L., & Liu, H. (2018) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2018.2837378 · Cited by 104
Experimental Validation of Linear and Nonlinear MPC on an Articulated Unmanned Ground Vehicle
Kayacan, E., Saeys, W., Ramón, H., Belta, C. A., & Peschel, J. M. (2018) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2018.2854877 · Cited by 104
An MPC-based power management of standalone DC microgrid with energy storage
Batiyah, S. M., Sharma, R., Abdelwahed, S., & Zohrabi, N. (2020) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2020.105949 · Cited by 104
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Hsu, K., Hu, H., & Fisac, J. F. (2024) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-071723-102940 · Cited by 104
A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals
Betti, G., Farina, M., & Scattolini, R. (2013) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2013.2254011 · Cited by 104
Nonlinear Model Predictive Control via Feasibility-Perturbed Sequential Quadratic Programming
Tenny, M. J., Wright, S. J., & Rawlings, J. B. (2004) · Computational Optimization and Applications · doi:10.1023/b:coap.0000018880.63497.eb · Cited by 104
Self-citation
Cooperative distributed MPC of linear systems with coupled constraints
Trodden, P. A., & Richards, A. G. (2012) · Automatica · doi:10.1016/j.automatica.2012.11.007 · Cited by 104
Receding horizon control of multi-vehicle formations: a distributed implementation
Dunbar, W. B., & Murray, R. M. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2004.1430341 · Cited by 104
An application of model predictive control to the dynamic economic dispatch of power generation
Xia, X., Zhang, J., & Elaiw, A. M. (2011) · Control Engineering Practice · doi:10.1016/j.conengprac.2011.03.001 · Cited by 103
Model predictive control of VAV zone thermal systems concerning bi-linearity and gain nonlinearity
Huang, G. (2011) · Control Engineering Practice · doi:10.1016/j.conengprac.2011.03.005 · Cited by 103
Convex Optimization Strategies for Coordinating Large-Scale Robot Formations
Derenick, J. C., & Spletzer, J. R. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.909833 · Cited by 103
Stabilizing low complexity feedback control of constrained piecewise affine systems
Grieder, P., Kvasnica, M., Baotić, M., & Morari, M. (2005) · Automatica · doi:10.1016/j.automatica.2005.04.016 · Cited by 103
Robust output-feedback model predictive control for systems with unstructured uncertainty
Løvaas, C., Seron, M. M., & Goodwin, G. C. (2008) · Automatica · doi:10.1016/j.automatica.2007.10.003 · Cited by 102
Data driven model free adaptive iterative learning perimeter control for large-scale urban road networks
Ren, Y. T., Hou, Z., Sırmatel, I. İ., & Geroliminis, N. (2020) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2020.102618 · Cited by 102
Set Membership approximation theory for fast implementation of Model Predictive Control laws
Canale, M., Fagiano, L., & Milanese, M. (2008) · Automatica · doi:10.1016/j.automatica.2008.06.015 · Cited by 102
Optimization-Based Stabilization of Sampled-Data Nonlinear Systems via Their Approximate Discrete-Time Models
Grüne, L., & Nešić, D. (2003) · SIAM Journal on Control and Optimization · doi:10.1137/s036301290240258x · Cited by 102
A model predictive control approach for combined braking and steering in autonomous vehicles
Falcone, P., Borrelli, F., Asgari, J., Tseng, H. E., & Hrovat, D. (2007) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med.2007.4433694 · Cited by 102
KiteGen: A revolution in wind energy generation
Canale, M., Fagiano, L., & Milanese, M. (2008) · Energy · doi:10.1016/j.energy.2008.10.003 · Cited by 102
Distributed model predictive control based on dissipativity
Tippett, M. J., & Bao, J. (2012) · AIChE Journal · doi:10.1002/aic.13868 · Cited by 102
Improving off-line approach to robust MPC based-on nominal performance cost
Ding, B., Xi, Y., Cychowski, M. T., & O’Mahony, T. (2006) · Automatica · doi:10.1016/j.automatica.2006.07.022 · Cited by 102
Distributed economic MPC: Application to a nonlinear chemical process network
Chen, X., Heidarinejad, M., Liu, J., & Christofides, P. D. (2012) · Journal of Process Control · doi:10.1016/j.jprocont.2012.01.016 · Cited by 102
Stochastic receding horizon control with bounded control inputs—a vector-space approachPreprint
Debasish Chatterjee, A., Hokayem, P. F., & Lygeros, J. (2009) · Cited by 102
Real-Time Model Predictive Control Using a Self-Organizing Neural Network
Han, H.-G., Wu, X., & Qiao, J. (2013) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2013.2261574 · Cited by 101
A model predictive control approach for time optimal point-to-point motion control
den Broeck, L. V., Diehl, M., & Swevers, J. (2011) · Mechatronics · doi:10.1016/j.mechatronics.2011.07.008 · Cited by 101
Assessing the value of cooperation and information exchange in large water resources systems by agent‐based optimization
Giuliani, M., & Castelletti, A. F. (2013) · Water Resources Research · doi:10.1002/wrcr.20287 · Cited by 101
Modeling and constrained multivariable predictive control for ORC (Organic Rankine Cycle) based waste heat energy conversion systems
Zhang, J., Zhou, Y., Wang, R., Xu, J., & Fang, F. (2014) · Energy · doi:10.1016/j.energy.2014.01.068 · Cited by 100
Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding
Quevedo, D. E., Åhlén, A., & Østergaard, J. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2050883 · Cited by 100
Robust Control Invariant Sets and Lyapunov-Based MPC for IPM Synchronous Motor Drives
Preindl, M. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2527722 · Cited by 100
Adaptive Cruise Control with Safety Guarantees for Autonomous Vehicles
Magdici, S., & Althoff, M. (2017) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2017.08.418 · Cited by 100
A constrained error-based MPC for path following of quadrotor with stability analysis
Eskandarpour, A., & Sharf, I. (2019) · Nonlinear Dynamics · doi:10.1007/s11071-019-04859-0 · Cited by 100
Fast finite-time adaptive stabilization of high-order uncertain nonlinear system with an asymmetric output constraint
Sun, Z., Peng, Y., Wen, C., & Chen, C. (2020) · Automatica · doi:10.1016/j.automatica.2020.109170 · Cited by 100
Kinetic description of optimal control problems and applications to opinion consensus
Albi, G., Herty, M., & Pareschi, L. (2015) · Communications in Mathematical Sciences · doi:10.4310/cms.2015.v13.n6.a3 · Cited by 100
MPC for tracking zone regions
Ferramosca, A., Limón, D., González, A. H., Odloak, D., & Camacho, E. F. (2010) · Journal of Process Control · doi:10.1016/j.jprocont.2010.02.005 · Cited by 100
Offset-Free Nonlinear MPC for Mismatched Disturbance Attenuation With Application to a Static Var Compensator
Yang, J., & Zheng, W. X. (2014) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2013.2290912 · Cited by 99
Game Theory with Engineering Applications
Bauso, D. (2016) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611974287 · Cited by 98
A probabilistic approach to Model Predictive Control
Farina, M., Giulioni, L., Magni, L., & Scattolini, R. (2013) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2013.6761117 · Cited by 99
Stackelberg-game analysis of correlated attacks in cyber-physical systems
Zhu, M., & Martı́nez, S. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5991463 · Cited by 99
Near real time load shifting control for residential electricity prosumers under designed and market indexed pricing models
Giorgio, A. D., & Liberati, F. (2014) · Applied Energy · doi:10.1016/j.apenergy.2014.04.032 · Cited by 98
Economic Model Predictive Control of Wastewater Treatment Processes
Zeng, J., & Liu, J. (2015) · Industrial & Engineering Chemistry Research · doi:10.1021/ie504995n · Cited by 98
Cooperative control of high-speed trains for headway regulation: A self-triggered model predictive control based approach
Xun, J., Yin, J., Liu, R., Liu, F., Zhou, Y., & Tang, T. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.02.023 · Cited by 98
Safe Policies for Reinforcement Learning via Primal-Dual Methods
Paternain, S., Calvo-Fullana, M., Chamon, L. F. O., & Ribeiro, A. (2022) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2022.3152724 · Cited by 125
Design and Control of Magnetic Levitation System by Optimizing Fractional Order PID Controller Using Ant Colony Optimization Algorithm
Mughees, A., & Mohsin, S. A. (2020) · IEEE Access · doi:10.1109/access.2020.3004025 · Cited by 98
Fault Tolerant Model Predictive Control of Quad-Rotor Helicopters with Actuator Fault Estimation
Izadi, H. A., Zhang, Y. M., & Gordon, B. W. (2011) · IFAC Proceedings Volumes · doi:10.3182/20110828-6-it-1002.03709 · Cited by 98
Online robust tube-based MPC for time-varying systems: a practical approach
González, R., Fiacchini, M., Álamo, T., Guzmán, J. L., & Rodríguez, F. (2011) · International Journal of Control · doi:10.1080/00207179.2011.594093 · Cited by 98
Control and Optimization of Grid-Tied Photovoltaic Storage Systems Using Model Predictive Control
Wang, T., Kamath, H., & Willard, S. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2292525 · Cited by 97
Receding horizon control based consensus scheme in general linear multi-agent systems
Li, H., & Yan, W. (2015) · Automatica · doi:10.1016/j.automatica.2015.03.023 · Cited by 97
Distributed receding horizon control of large-scale nonlinear systems: Handling communication delays and disturbances
Li, H., & Shi, Y. (2014) · Automatica · doi:10.1016/j.automatica.2014.02.031 · Cited by 97
Event-based model predictive control for Networked Control Systems
Varutti, P., Kern, B., Faulwasser, T., & Findeisen, R. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5400921 · Cited by 97
Backstepping dynamic surface control for a class of non‐linear systems with time‐varying output constraints
Qiu, Y., Liang, X., Dai, Z., Cao, J., & Chen, Y. (2015) · IET Control Theory and Applications · doi:10.1049/iet-cta.2015.0019 · Cited by 97
Economic and Distributed Model Predictive Control: Recent Developments in Optimization-Based Control
Müller, M. A., & Allgöwer, F. (2017) · SICE Journal of Control Measurement and System Integration · doi:10.9746/jcmsi.10.39 · Cited by 97
Neural network-based adaptive tracking control for switched nonlinear systems with prescribed performance: An average dwell time switching approach
Wang, Y. Q., Niu, B., Wang, H., Alotaibi, N. D., & Abozinadah, E. (2020) · Neurocomputing · doi:10.1016/j.neucom.2020.10.023 · Cited by 97
Dynamics and Nonlinear Control of Integrated Process Systems
Bâldea, M., & Daoutidis, P. (2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511978760 · Cited by 97
Trajectory Tracking Nonlinear Model Predictive Control for Autonomous Surface Craft
Guerreiro, B. J., Silvestre, C., Cunha, R., & Pascoal, A. (2014) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2014.2303805 · Cited by 97
Longitudinal Motion Control of a High-Speed Supercavitation Vehicle
Vanek, B., Bokor, J., Balas, G., & Arndt, R. E. A. (2007) · Journal of Vibration and Control · doi:10.1177/1077546307070226 · Cited by 97
A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies
Zegeye, S. K., Schutter, B. D., Hellendoorn, J., Breunesse, E. A., & Hegyi, A. (2012) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2012.2197202 · Cited by 96
A study on decentralized receding horizon control for decoupled systems
Keviczky, T., Borrelli, F., & Balas, G. J. (2004) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2004.1384629 · Cited by 96
Robust constrained model predictive control
Richards, A. G. (2005) · Cited by 96
Optimization of airborne wind energy generators
Fagiano, L., Milanese, M., & Piga, D. (2011) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1808 · Cited by 95
Recent progress in networked control systems — A survey
Xia, Y., Gao, Y., Yan, L., & Fu, M. (2015) · Machine Intelligence Research · doi:10.1007/s11633-015-0894-x · Cited by 95
A Real-Time Gradient Method for Nonlinear Model Predictive Control
Graichen, K., & Kpernick, B. (2012) · InTech eBooks · doi:10.5772/37638 · Cited by 95
Model Predictive Control for Linear Parameter Varying Systems Using Parameter Dependent Lyapunov Function
Wada, N., Saito, K., & Saeki, M. (2006) · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · doi:10.1109/tcsii.2006.883832 · Cited by 95

Authors: Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M.
Affiliations: Imperial College London (GB)
University of Wisconsin–Madison (US)
Orange (France) (FR)
Corresponding author: Mayne, D.Q.
ORCID: Rawlings, J.B.
Rao, C.V.
Venue: Automatica
Publisher: Elsevier BV
Published: 2000-06
Volume: 36
Issue: 6
Pages: 789-814
ISSN: 0005-1098 (ISSN-L)
DOI: 10.1016/s0005-1098(99)00214-9
OpenAlex: W1978956894
Cited by: 8,736
References: 127
Citations by year: 2026: 406 · 2025: 372 · 2024: 336 · 2023: 400 · 2022: 386 · 2021: 424 · 2020: 487 · 2019: 448 · 2018: 426 · 2017: 404 · 2016: 412 · 2015: 400 · 2014: 455 · 2013: 397 · 2012: 380
FWCI: 231.55
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Automatica (publishedVersion)
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
Keywords: constrained model predictive control, stability analysis, optimality, finite-horizon optimal control, infinite horizon optimal control, nonlinear model predictive control, linear model predictive control, hard constraints, petrochemical process control, nonlinear control

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Constrained model predictive control: Stability and optimality

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks