Model predictive control: Recent developments and future promise

[1]  Moritz Diehl,et al.  Robust Stability of Moving Horizon Estimation Under Bounded Disturbances , 2016, IEEE Transactions on Automatic Control.

[2]  Benjamin Naumann,et al.  Computational Methods In Optimization A Unified Approach , 2016 .

[3]  João Pedro Hespanha,et al.  Nonlinear output-feedback model predictive control with moving horizon estimation , 2014, 53rd IEEE Conference on Decision and Control.

[4]  A. Bemporad,et al.  Dynamic option hedging via stochastic model predictive control based on scenario simulation , 2014 .

[5]  Colin Neil Jones,et al.  Certification of fixed computation time first-order optimization-based controllers for a class of nonlinear dynamical systems , 2014, 2014 American Control Conference.

[6]  Robert R. Bitmead,et al.  Persistently exciting model predictive control , 2014 .

[7]  David Q. Mayne,et al.  Getting Robustness Against Unstructured Uncertainty: A Tube-Based MPC Approach , 2014, IEEE Transactions on Automatic Control.

[8]  Khadir Mohamed,et al.  Model Predictive Control: Theory and Design , 2014 .

[9]  Lorenz T. Biegler,et al.  A Survey on Sensitivity-based Nonlinear Model Predictive Control , 2013 .

[10]  Rudy R. Negenborn,et al.  Distributed Model Predictive Control Made Easy , 2013 .

[11]  Jean C. Walrand,et al.  A receding horizon control law for harbor defense , 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[12]  David Angeli,et al.  Economic model predictive control with self-tuning terminal cost , 2013, Eur. J. Control.

[13]  David Q. Mayne,et al.  An apologia for stabilising terminal conditions in model predictive control , 2013, Int. J. Control.

[14]  Graham C. Goodwin,et al.  Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling , 2013, Int. J. Control.

[15]  Frank Allgöwer,et al.  Discrete-time Incremental ISS: A framework for Robust NMPC , 2013, 2013 European Control Conference (ECC).

[16]  David Q. Mayne,et al.  Model predictive control for tracking random references , 2013, 2013 European Control Conference (ECC).

[17]  Stephen P. Boyd,et al.  ECOS: An SOCP solver for embedded systems , 2013, 2013 European Control Conference (ECC).

[18]  David Angeli,et al.  On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation , 2013, 2013 American Control Conference.

[19]  Daniel E. Quevedo,et al.  Stability Analysis of Quadratic MPC With a Discrete Input Alphabet , 2013, IEEE Transactions on Automatic Control.

[20]  Panagiotis D. Christofides,et al.  Distributed model predictive control: A tutorial review and future research directions , 2013, Comput. Chem. Eng..

[21]  W. P. M. H. Heemels,et al.  Further Input-to-State Stability Subtleties for Discrete-Time Systems , 2013, IEEE Transactions on Automatic Control.

[22]  Lars Grüne,et al.  Economic receding horizon control without terminal constraints , 2013, Autom..

[23]  Lorenzo Fagiano,et al.  Generalized terminal state constraint for model predictive control , 2012, Autom..

[24]  Giuseppe Carlo Calafiore,et al.  Robust Model Predictive Control via Scenario Optimization , 2012, IEEE Transactions on Automatic Control.

[25]  P. Olver Nonlinear Systems , 2013 .

[26]  David Angeli,et al.  Fundamentals of economic model predictive control , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[27]  J. Rawlings,et al.  Optimization-based state estimation: Current status and some new results☆ , 2012 .

[28]  Manfred Morari,et al.  Nonlinear offset-free model predictive control , 2012, Autom..

[29]  Frank Allgöwer,et al.  Cooperative control of dynamically decoupled systems via distributed model predictive control , 2012 .

[30]  David Angeli,et al.  On Average Performance and Stability of Economic Model Predictive Control , 2012, IEEE Transactions on Automatic Control.

[31]  Ufuk Topcu,et al.  Receding Horizon Temporal Logic Planning , 2012, IEEE Transactions on Automatic Control.

[32]  Xianzhong Chen,et al.  Distributed economic MPC: Application to a nonlinear chemical process network , 2012 .

[33]  Rolf Findeisen,et al.  Parameterized Tube Model Predictive Control , 2012, IEEE Transactions on Automatic Control.

[34]  Frank Allgöwer,et al.  Improving performance in model predictive control: Switching cost functionals under average dwell-time , 2012, Autom..

[35]  Carlos Bordons Alba,et al.  Model Predictive Control , 2012 .

[36]  A. Teel,et al.  Model predictive control with generalized terminal state constraint , 2012 .

[37]  S. Raković Invention of Prediction Structures and Categorization of Robust MPC Syntheses , 2012 .

[38]  Frank Allgöwer,et al.  Robust cooperative control of dynamically decoupled systems via distributed {MPC} , 2012 .

[39]  Robert R. Bitmead,et al.  MPC under the hood/sous le capot/unter der Haube , 2012 .

[40]  Lars Grüne,et al.  NMPC without terminal constraints , 2012 .

[41]  Eric C. Kerrigan,et al.  Number Representation in Predictive Control , 2012 .

[42]  Graham C. Goodwin,et al.  Feedforward model predictive control , 2011, Annu. Rev. Control..

[43]  David Angeli,et al.  Economic optimization using model predictive control with a terminal cost , 2011, Annu. Rev. Control..

[44]  Manfred Morari,et al.  Towards computational complexity certification for constrained MPC based on Lagrange Relaxation and the fast gradient method , 2011, IEEE Conference on Decision and Control and European Control Conference.

[45]  Jean C. Walrand,et al.  Harbor attack: A pursuit-evasion game , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[46]  Stephen J. Wright,et al.  Conditions under which suboptimal nonlinear MPC is inherently robust , 2011, Syst. Control. Lett..

[47]  F. Allgöwer,et al.  Model predictive control of switched nonlinear systems under average dwell-time , 2011, ACC.

[48]  David Q. Mayne,et al.  Tube‐based robust nonlinear model predictive control , 2011 .

[49]  Stephen J. Wright,et al.  Cooperative distributed model predictive control for nonlinear systems , 2011 .

[50]  Graham C. Goodwin,et al.  Predictive Metamorphic Control , 2011, 2011 8th Asian Control Conference (ASCC).

[51]  Stephen P. Boyd,et al.  Receding Horizon Control , 2011, IEEE Control Systems.

[52]  Moritz Diehl,et al.  ACADO toolkit—An open‐source framework for automatic control and dynamic optimization , 2011 .

[53]  Alberto Bemporad,et al.  Ultra-Fast Stabilizing Model Predictive Control via Canonical Piecewise Affine Approximations , 2011, IEEE Transactions on Automatic Control.

[54]  Johannes P. Schlöder,et al.  Block-structured quadratic programming for the direct multiple shooting method for optimal control , 2011, Optim. Methods Softw..

[55]  Graham C. Goodwin,et al.  How Good is Quantized Model Predictive Control With Horizon One? , 2011, IEEE Transactions on Automatic Control.

[56]  Eduardo F. Camacho,et al.  Distributed model predictive control based on a cooperative game , 2011 .

[57]  Moritz Diehl,et al.  A Lyapunov Function for Economic Optimizing Model Predictive Control , 2011, IEEE Transactions on Automatic Control.

[58]  John Lygeros,et al.  Stochastic Receding Horizon Control With Bounded Control Inputs: A Vector Space Approach , 2009, IEEE Transactions on Automatic Control.

[59]  F. Allgöwer,et al.  Inherent Robustness Properties of Quasi-infinite Horizon MPC , 2011 .

[60]  Marcello Farina,et al.  Distributed non-cooperative MPC with neighbor-to-neighbor communication , 2011 .

[61]  Thomas Parisini,et al.  Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis , 2011, IEEE Transactions on Automatic Control.

[62]  Basil Kouvaritakis,et al.  Explicit use of probabilistic distributions in linear predictive control , 2010, Autom..

[63]  Panagiotis Patrinos,et al.  A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings , 2010, Autom..

[64]  Manfred Morari,et al.  Offset-free reference tracking with model predictive control , 2010, Autom..

[65]  Xianzhong Chen,et al.  Sequential and iterative architectures for distributed model predictive control of nonlinear process systems. Part II: Application to a catalytic alkylation of benzene process , 2010, Proceedings of the 2010 American Control Conference.

[66]  Eduardo F. Camacho,et al.  Robust tube-based MPC for tracking of constrained linear systems with additive disturbances , 2010 .

[67]  Alberto Bemporad,et al.  Model Predictive Control Tuning by Controller Matching , 2010, IEEE Transactions on Automatic Control.

[68]  J. Lygeros,et al.  Stable stochastic receding horizon control of linear systems with bounded control inputs , 2010 .

[69]  Alberto Bemporad,et al.  Scenario-based model predictive control of stochastic constrained linear systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[70]  Basil Kouvaritakis,et al.  Probabilistic tubes in linear stochastic model predictive control , 2009, Syst. Control. Lett..

[71]  W. P. M. H. Heemels,et al.  Lyapunov Functions, Stability and Input-to-State Stability Subtleties for Discrete-Time Discontinuous Systems , 2009, IEEE Transactions on Automatic Control.

[72]  Edward N. Hartley,et al.  Initial tuning of predictive controllers by reverse engineering , 2009, 2009 European Control Conference (ECC).

[73]  James A. Primbs,et al.  Dynamic hedging of basket options under proportional transaction costs using receding horizon control , 2009, Int. J. Control.

[74]  Thomas Parisini,et al.  Robust Model Predictive Control of Nonlinear Systems With Bounded and State-Dependent Uncertainties , 2009, IEEE Transactions on Automatic Control.

[75]  Basil Kouvaritakis,et al.  Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty , 2009, IEEE Transactions on Automatic Control.

[76]  J. Maciejowski,et al.  Sequential Monte Carlo for Model Predictive Control , 2009 .

[77]  Riccardo Scattolini,et al.  Architectures for distributed and hierarchical Model Predictive Control - A review , 2009 .

[78]  Martin Guay,et al.  Adaptive Model Predictive Control for Constrained Nonlinear Systems , 2008 .

[79]  Panagiotis D. Christofides,et al.  Distributed model predictive control of nonlinear process systems , 2009 .

[80]  R. Sanfelice,et al.  Hybrid dynamical systems , 2009, IEEE Control Systems.

[81]  John Lygeros,et al.  On stochastic receding horizon control with bounded control inputs , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[82]  James A. Primbs,et al.  Stochastic Receding Horizon Control of Constrained Linear Systems With State and Control Multiplicative Noise , 2007, IEEE Transactions on Automatic Control.

[83]  D. Limón,et al.  Input-to-State Stability: A Unifying Framework for Robust Model Predictive Control , 2009 .

[84]  Alberto Bemporad,et al.  A survey on explicit model predictive control , 2009 .

[85]  Eduardo F. Camacho,et al.  Model predictive control techniques for hybrid systems , 2010, Annu. Rev. Control..

[86]  Manfred Morari,et al.  Linear offset-free Model Predictive Control , 2009, Autom..

[87]  James B. Rawlings,et al.  Optimizing Process Economic Performance Using Model Predictive Control , 2009 .

[88]  Hans Joachim Ferreau,et al.  Efficient Numerical Methods for Nonlinear MPC and Moving Horizon Estimation , 2009 .

[89]  Daohang Sha,et al.  A new neural networks based adaptive model predictive control for unknown multiple variable non-linear systems , 2008 .

[90]  Mara Tanelli,et al.  Switched model predictive control for performance enhancement , 2008, Int. J. Control.

[91]  Sten Bay Jørgensen,et al.  Unreachable Setpoints in Model Predictive Control , 2008, IEEE Transactions on Automatic Control.

[92]  Eduardo F. Camacho,et al.  MPC for tracking piecewise constant references for constrained linear systems , 2008, Autom..

[93]  Graham C. Goodwin,et al.  Robust output-feedback model predictive control for systems with unstructured uncertainty , 2008, Autom..

[94]  J. Primbs,et al.  A Stochastic Receding Horizon Control Approach to Constrained Index Tracking , 2008 .

[95]  Marios M. Polycarpou,et al.  Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach , 2008, IEEE Transactions on Automatic Control.

[96]  W. P. M. H. Heemels,et al.  On input-to-state stability of min-max nonlinear model predictive control , 2008, Syst. Control. Lett..

[97]  Andrew R. Teel,et al.  Nominally Robust Model Predictive Control With State Constraints , 2007, IEEE Transactions on Automatic Control.

[98]  Jonathan P. How,et al.  Robust distributed model predictive control , 2007, Int. J. Control.

[99]  J.A. Primbs,et al.  Portfolio Optimization Applications of Stochastic Receding Horizon Control , 2007, 2007 American Control Conference.

[100]  D. Mayne,et al.  Optimal control and piecewise parametric programming , 2007, 2007 European Control Conference (ECC).

[101]  Arthur Richards,et al.  Robust distributed model predictive control with cooperation , 2007, 2007 European Control Conference (ECC).

[102]  T. Raff,et al.  Nonlinear Model Predictive Control: A Passivity-Based Approach , 2007 .

[103]  Manfred Morari,et al.  Multiparametric Linear Programming with Applications to Control , 2007, Eur. J. Control.

[104]  Manfred Morari,et al.  Multiparametric Linear Complementarity Problems , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[105]  Colin Neil Jones,et al.  On the facet-to-facet property of solutions to convex parametric quadratic programs , 2006, Autom..

[106]  Alberto Bemporad,et al.  Stabilizing Model Predictive Control of Hybrid Systems , 2006, IEEE Transactions on Automatic Control.

[107]  Bo Lincoln,et al.  Relaxing dynamic programming , 2006, IEEE Transactions on Automatic Control.

[108]  David Q. Mayne,et al.  Robust output feedback model predictive control of constrained linear systems , 2006, Autom..

[109]  Eduardo F. Camacho,et al.  On the stability of constrained MPC without terminal constraint , 2006, IEEE Transactions on Automatic Control.

[110]  Giuseppe Carlo Calafiore,et al.  The scenario approach to robust control design , 2006, IEEE Transactions on Automatic Control.

[111]  Eduardo F. Camacho,et al.  Input to state stability of min-max MPC controllers for nonlinear systems with bounded uncertainties , 2006, Autom..

[112]  Lorenz T. Biegler,et al.  On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming , 2006, Math. Program..

[113]  William B. Dunbar,et al.  Distributed receding horizon control for multi-vehicle formation stabilization , 2006, Autom..

[114]  Eric C. Kerrigan,et al.  Optimization over state feedback policies for robust control with constraints , 2006, Autom..

[115]  Mircea Lazar,et al.  Model predictive control of hybrid systems : stability and robustness , 2006 .

[116]  Stephen J. Wright,et al.  Stability and optimality of distributed model predictive control , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[117]  Eric C. Kerrigan,et al.  Offset‐free receding horizon control of constrained linear systems , 2005 .

[118]  Johannes O. Royset,et al.  On the Use of Augmented Lagrangians in the Solution of Generalized Semi-Infinite Min-Max Problems , 2005, Comput. Optim. Appl..

[119]  James B. Rawlings,et al.  Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation , 2005 .

[120]  Jun Yan,et al.  Incorporating state estimation into model predictive control and its application to network traffic control , 2005, Autom..

[121]  David Q. Mayne,et al.  Invariant approximations of the minimal robust positively Invariant set , 2005, IEEE Transactions on Automatic Control.

[122]  David Q. Mayne,et al.  Robust model predictive control of constrained linear systems with bounded disturbances , 2005, Autom..

[123]  Yurii Nesterov,et al.  Introductory Lectures on Convex Optimization - A Basic Course , 2014, Applied Optimization.

[124]  Andrew R. Teel,et al.  Examples when nonlinear model predictive control is nonrobust , 2004, Autom..

[125]  Andrew R. Teel,et al.  Smooth Lyapunov functions and robustness of stability for difference inclusions , 2004, Syst. Control. Lett..

[126]  Alberto Bemporad,et al.  Anti-windup synthesis via sampled-data piecewise affine optimal control , 2004, Autom..

[127]  J. Maciejowski,et al.  Feedback min‐max model predictive control using a single linear program: robust stability and the explicit solution , 2004 .

[128]  G. Goodwin,et al.  Finite constraint set receding horizon quadratic control , 2004 .

[129]  Andrew R. Teel,et al.  Discrete Time Receding Horizon Optimal Control: Is the Stability Robust? , 2004 .

[130]  F. Borrelli,et al.  A study on decentralized receding horizon control for decoupled systems , 2004, Proceedings of the 2004 American Control Conference.

[131]  J. Löfberg,et al.  Approximations of closed-loop minimax MPC , 2003, CDC.

[132]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[133]  F. Allgöwer,et al.  A note on stability, robustness and performance of output feedback nonlinear model predictive control , 2003 .

[134]  D. Mayne,et al.  Model predictive control of constrained piecewise affine discrete‐time systems , 2003 .

[135]  David Q. Mayne,et al.  Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations , 2003, IEEE Trans. Autom. Control..

[136]  Gabriele Pannocchia,et al.  Disturbance models for offset‐free model‐predictive control , 2003 .

[137]  L. Chisci,et al.  Dual mode predictive tracking of piecewise constant references for constrained linear systems , 2003 .

[138]  Frank Allgöwer,et al.  State and Output Feedback Nonlinear Model Predictive Control: An Overview , 2003, Eur. J. Control.

[139]  Alberto Bemporad,et al.  The explicit linear quadratic regulator for constrained systems , 2003, Autom..

[140]  D. Limón,et al.  Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[141]  João Pedro Hespanha,et al.  Switching between stabilizing controllers , 2002, Autom..

[142]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[143]  Kenneth R. Muske,et al.  Disturbance modeling for offset-free linear model predictive control , 2002 .

[144]  T. Johansen,et al.  An algorithm for multi-parametric quadratic programming and explicit MPC solutions , 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

[145]  David Q. Mayne,et al.  Robustifying model predictive control of constrained linear systems , 2001 .

[146]  Riccardo Scattolini,et al.  Output feedback and tracking of nonlinear systems with model predictive control , 2001, Autom..

[147]  Luigi Chisci,et al.  Systems with persistent disturbances: predictive control with restricted constraints , 2001, Autom..

[148]  Zhong-Ping Jiang,et al.  Input-to-state stability for discrete-time nonlinear systems , 1999 .

[149]  Wolfgang Dahmen,et al.  Introduction to Model Based Optimization of Chemical Processes on Moving Horizons , 2001 .

[150]  G. Goodwin,et al.  Global analytical model predictive control with input constraints , 2000, Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187).

[151]  James A. Primbs,et al.  Feasibility and stability of constrained finite receding horizon control , 2000, Autom..

[152]  David Q. Mayne,et al.  Constrained model predictive control: Stability and optimality , 2000, Autom..

[153]  Ilya Kolmanovsky,et al.  Fast reference governors for systems with state and control constraints and disturbance inputs , 1999 .

[154]  P. Lu Approximate receding-horizon control laws for linear time-varying systems , 1999 .

[155]  D. Q. Mayne,et al.  Suboptimal model predictive control (feasibility implies stability) , 1999, IEEE Trans. Autom. Control..

[156]  Alberto Bemporad,et al.  Control of systems integrating logic, dynamics, and constraints , 1999, Autom..

[157]  Stephen J. Wright,et al.  Application of Interior-Point Methods to Model Predictive Control , 1998 .

[158]  D. Mayne,et al.  Min-max feedback model predictive control for constrained linear systems , 1998, IEEE Trans. Autom. Control..

[159]  E. Gilbert,et al.  Theory and computation of disturbance invariant sets for discrete-time linear systems , 1998 .

[160]  Mark Rice,et al.  A numerically robust state-space approach to stable-predictive control strategies , 1998, Autom..

[161]  Eduardo Sontag,et al.  On characterizations of the input-to-state stability property , 1995 .

[162]  Stephen J. Wright Interior point methods for optimal control of discrete time systems , 1993 .

[163]  A. Kurzhanski,et al.  On the Theory of Trajectory Tubes — A Mathematical Formalism for Uncertain Dynamics, Viability and Control , 1993 .

[164]  Sanjay Mehrotra,et al.  On the Implementation of a Primal-Dual Interior Point Method , 1992, SIAM J. Optim..

[165]  George M. Siouris,et al.  Applied Optimal Control: Optimization, Estimation, and Control , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[166]  E. Polak,et al.  Computational methods in optimization : a unified approach , 1972 .

[167]  D. Bertsekas,et al.  Recursive state estimation for a set-membership description of uncertainty , 1971 .

[168]  D. Bertsekas,et al.  On the minimax reachability of target sets and target tubes , 1971 .