Space-frequency localized basis function networks for nonlinear system estimation and control. - Mark Cannon; Jean-Jacques E. Slotine (Neurocomputing, 1995)

Linear Quadratic Feasible Predictive Control. - Basil Kouvaritakis; J. Anthony Rossiter; Mark Cannon (Autom., 1998)

Efficient nonlinear model predictive control. - Mark Cannon; Basil Kouvaritakis; A. C. Brooms; Young Il Lee (ACC, 2000)

Triple mode control in MPC. - John Anthony Rossiter; Basil Kouvaritakis; Mark Cannon (ACC, 2000)

Infinite horizon predictive control of constrained continuous-time linear systems. - Mark Cannon; Basil Kouvaritakis (Autom., 2000)

Interpolation in MPC for discrete time bilinear systems. - Hayco H. J. Bloemen; Mark Cannon; Basil Kouvaritakis (ACC, 2001)

Efficient active set optimization in triple mode MPC. - Mark Cannon; Basil Kouvaritakis; J. Anthony Rossiter (IEEE Trans. Autom. Control., 2001)

Asymmetric constraints with polyhedral sets in MPC with application to coupled tanks system. - Basil Kouvaritakis; Mark Cannon; A. Karas; Boris Rohal-Ilkiv; Cyril Belavý (CDC, 2002)

Who needs QP for linear MPC anyway? - Basil Kouvaritakis; Mark Cannon; J. Anthony Rossiter (Autom., 2002)

Constrained receding horizon predictive control for nonlinear systems. - Young Il Lee; Basil Kouvaritakis; Mark Cannon (Autom., 2002)

Closed-Loop Stabilizing MPC for Discrete-Time Bilinear Systems. - Hayco H. J. Bloemen; Mark Cannon; Basil Kouvaritakis (Eur. J. Control, 2002)

Efficient Constrained Model Predictive Control with Asymptotic Optimality. - Mark Cannon; Basil Kouvaritakis (SIAM J. Control. Optim., 2002)

An interpolation strategy for discrete-time bilinear MPC problems. - Hayco H. J. Bloemen; Mark Cannon; Basil Kouvaritakis (IEEE Trans. Autom. Control., 2002)

Constrained NMPC via state-space partitioning for input-affine non-linear systems. - Marko Bacic; Mark Cannon; Basil Kouvaritakis (ACC, 2003)

Stability proof for computationally efficient predictive control in the uncertain case. - J. Anthony Rossiter; Basil Kouvaritakis; Mark Cannon (ACC, 2003)

Nonlinear model predictive control with polytopic invariant sets. - Mark Cannon; Venkatesh Deshmukh; Basil Kouvaritakis (Autom., 2003)

Constrained control of SISO bilinear systems. - Marko Bacic; Mark Cannon; Basil Kouvaritakis (IEEE Trans. Autom. Control., 2003)

General interpolation in MPC and its advantages. - Marko Bacic; Mark Cannon; Young Il Lee; Basil Kouvaritakis (IEEE Trans. Autom. Control., 2003)

General interpolation for input-affine nonlinear systems. - Marko Bacic; Mark Cannon; Basil Kouvaritakis (ACC, 2004)

Efficient nonlinear model predictive control algorithms. - Mark Cannon (Annu. Rev. Control., 2004)

Recent developments in stochastic MPC and sustainable development. - Basil Kouvaritakis; Mark Cannon; Vassilios A. Tsachouridis (Annu. Rev. Control., 2004)

Enlargement of polytopic terminal region in NMPC by interpolation and partial invariance. - Mark Cannon; Basil Kouvaritakis; Venkatesh Deshmukh (Autom., 2004)

Constrained MPC using feedback linearization for systems with unstable inverse dynamics. - Weiheng Liao; Mark Cannon; Basil Kouvaritakis (ACC, 2005)

Extended invariance and its use in model predictive control. - Young Il Lee; Mark Cannon; Basil Kouvaritakis (Autom., 2005)

Modelling and optimisation for sustainable development policy assessment. - Mark Cannon; Basil Kouvaritakis; Gongsheng Huang (Eur. J. Oper. Res., 2005)

Optimizing prediction dynamics for robust MPC. - Mark Cannon; Basil Kouvaritakis (IEEE Trans. Autom. Control., 2005)

Efficient MPC Optimization using Pontryagin's Minimum Principle. - Mark Cannon; Weiheng Liao; Basil Kouvaritakis (CDC, 2006)

MPC on state space models with stochastic input map. - Paul D. Couchman; Basil Kouvaritakis; Mark Cannon (CDC, 2006)

Dynamic non-minimum phase compensation for SISO nonlinear, affine in the input systems. - Mark Cannon; Marko Bacic; Basil Kouvaritakis (Autom., 2006)

Stochastic MPC with inequality stability constraints. - Paul D. Couchman; Mark Cannon; Basil Kouvaritakis (Autom., 2006)

MPC as a tool for sustainable development integrated policy assessment. - Basil Kouvaritakis; Mark Cannon; Paul D. Couchman (IEEE Trans. Autom. Control., 2006)

Relaxation of output zeroing for bilinear non-minimum phase systems. - Young Il Lee; Basil Kouvaritakis; Mark Cannon (Int. J. Control, 2008)

Input-output feedback linearization for nonminimum phase nonlinear systems through periodic use of synthetic outputs. - Young Il Lee; Basil Kouvaritakis; Mark Cannon (Syst. Control. Lett., 2008)

A Youla parameter approach to robust constrained linear model predictive control. - Qifeng Cheng; Basil Kouvaritakis; Mark Cannon; J. Anthony Rossiter (CDC, 2009)

Model predictive control for systems with stochastic multiplicative uncertainty and probabilistic constraints. - Mark Cannon; Basil Kouvaritakis; Xingjian Wu (Autom., 2009)

Probabilistic tubes in linear stochastic model predictive control. - Mark Cannon; Basil Kouvaritakis; Desmond Ng (Syst. Control. Lett., 2009)

Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty. - Mark Cannon; Basil Kouvaritakis; Xingjian Wu (IEEE Trans. Autom. Control., 2009)

Explicit use of probabilistic distributions in linear predictive control. - Basil Kouvaritakis; Mark Cannon; Sasa V. Rakovic; Qifeng Cheng (Autom., 2010)

A line search improvement of efficient MPC. - Basil Kouvaritakis; Shuang Li; Mark Cannon (Autom., 2010)

Improvements in the efficiency of linear MPC. - Shuang Li; Basil Kouvaritakis; Mark Cannon (Autom., 2010)

On efficient computation of low-complexity controlled invariant sets for uncertain linear systems. - Toni Barjas Blanco; Mark Cannon; Bart De Moor (Int. J. Control, 2010)

On prediction strategies in stochastic MPC. - Diego Muñoz-Carpintero; Mark Cannon; Basil Kouvaritakis (ICCA, 2011)

Robust Tubes in Nonlinear Model Predictive Control. - Mark Cannon; Johannes Buerger; Basil Kouvaritakis; Sasa V. Rakovic (IEEE Trans. Autom. Control., 2011)

Stochastic Tubes in Model Predictive Control With Probabilistic Constraints. - Mark Cannon; Basil Kouvaritakis; Sasa V. Rakovic; Qifeng Cheng (IEEE Trans. Autom. Control., 2011)

Linear stochastic MPC under finitely supported multiplicative uncertainty. - Martin A. Evans; Mark Cannon; Basil Kouvaritakis (ACC, 2012)

Robust MPC for linear systems with bounded multiplicative uncertainty. - Martin A. Evans; Mark Cannon; Basil Kouvaritakis (CDC, 2012)

Offline tube design for efficient implementation of parameterized tube model predictive control. - Sasa V. Rakovic; Diego Muñoz-Carpintero; Mark Cannon; Basil Kouvaritakis (CDC, 2012)

Stochastic tube MPC with state estimation. - Mark Cannon; Qifeng Cheng; Basil Kouvaritakis; Sasa V. Rakovic (Autom., 2012)

Homothetic tube model predictive control. - Sasa V. Rakovic; Basil Kouvaritakis; Rolf Findeisen; Mark Cannon (Autom., 2012)

Parameterized Tube Model Predictive Control. - Sasa V. Rakovic; Basil Kouvaritakis; Mark Cannon; Christos Panos; Rolf Findeisen (IEEE Trans. Autom. Control., 2012)

An active set solver for min-max robust control. - Johannes Buerger; Mark Cannon; Basil Kouvaritakis (ACC, 2013)

Recursively feasible Robust MPC for linear systems with additive and multiplicative uncertainty using optimized polytopic dynamics. - Diego Muñoz-Carpintero; Mark Cannon; Basil Kouvaritakis (CDC, 2013)

Regions of attraction and recursive feasibility in robust MPC. - James M. Fleming; Basil Kouvaritakis; Mark Cannon (MED, 2013)

The design of dynamics in the prediction structure of robust MPC. - Qifeng Cheng; Mark Cannon; Basil Kouvaritakis (Int. J. Control, 2013)

Efficient prediction strategies for disturbance compensation in stochastic MPC. - Basil Kouvaritakis; Mark Cannon; Diego Muñoz-Carpintero (Int. J. Syst. Sci., 2013)

Equi-normalization and exact scaling dynamics in homothetic tube model predictive control. - Sasa V. Rakovic; Basil Kouvaritakis; Mark Cannon (Syst. Control. Lett., 2013)

Application of Optimal Control Algorithm to Inertia Friction Welding Process. - Johannes Löhe; Marc Lotz; Mark Cannon; Basil Kouvaritakis (IEEE Trans. Control. Syst. Technol., 2013)

Stochastic tube MPC for LPV systems with probabilistic set inclusion conditions. - James M. Fleming; Mark Cannon; Basil Kouvaritakis (CDC, 2014)

An active set solver for input-constrained robust receding horizon control. - Johannes Buerger; Mark Cannon; Basil Kouvaritakis (Autom., 2014)

A missing link between nonlinear MPC schemes with guaranteed stability. - Moritz Schulze Darup; Mark Cannon (CDC, 2015)

Robust positively invariant sets for state dependent and scaled disturbances. - Rainer M. Schaich; Mark Cannon (CDC, 2015)

Cooperative distributed stochastic MPC for systems with state estimation and coupled probabilistic constraints. - Li Dai 001; Yuanqing Xia; Yulong Gao; Basil Kouvaritakis; Mark Cannon (Autom., 2015)

Robust MPC strategy with optimized polytopic dynamics for linear systems with additive and multiplicative uncertainty. - Diego Muñoz-Carpintero; Mark Cannon; Basil Kouvaritakis (Syst. Control. Lett., 2015)

Robust Tube MPC for Linear Systems With Multiplicative Uncertainty. - James M. Fleming; Basil Kouvaritakis; Mark Cannon (IEEE Trans. Autom. Control., 2015)

Robust MPC Tower Damping for Variable Speed Wind Turbines. - Martin A. Evans; Mark Cannon; Basil Kouvaritakis (IEEE Trans. Control. Syst. Technol., 2015)

Stochastic Model Predictive Control. - Basil Kouvaritakis; Mark Cannon (Encyclopedia of Systems and Control, 2015)

Admissible sets for chance-constrained difference inclusions. - James M. Fleming; Mark Cannon (ACC, 2016)

Parametric robust positively invariant sets for linear systems with scaled disturbances. - Moritz Schulze Darup; Rainer Manuel Schaich; Mark Cannon (CDC, 2016)

Nonlinear MPC for supervisory control of hybrid electric vehicles. - Johannes Buerger; Mark Cannon (ECC, 2016)

Some observations on the activity of terminal constraints in linear MPC. - Moritz Schulze Darup; Mark Cannon (ECC, 2016)

Striped Parameterized Tube Model Predictive Control. - Diego Muñoz-Carpintero; Basil Kouvaritakis; Mark Cannon (Autom., 2016)

Time-average constraints in stochastic Model Predictive Control. - James M. Fleming; Mark Cannon (ACC, 2017)

Distributed Stochastic MPC of Linear Systems With Additive Uncertainty and Coupled Probabilistic Constraints. - Li Dai 001; Yuanqing Xia; Yulong Gao; Mark Cannon (IEEE Trans. Autom. Control., 2017)

On the Computation of λ-Contractive Sets for Linear Constrained Systems. - Moritz Schulze Darup; Mark Cannon (IEEE Trans. Autom. Control., 2017)

ADMM for MPC with state and input constraints, and input nonlinearity. - Sebastian East; Mark Cannon (ACC, 2018)

An ADMM Algorithm for MPC-based Energy Management in Hybrid Electric Vehicles with Nonlinear Losses. - Sebastian East; Mark Cannon (CDC, 2018)

Stochastic Model Predictive Control with Discounted Probabilistic Constraints. - Shuhao Yan; Paul Goulart; Mark Cannon (ECC, 2018)

Consensus in opinion dynamics as a repeated game. - Dario Bauso; Mark Cannon (Autom., 2018)

Robust Adaptive Tube Model Predictive Control. - Xiaonan Lu; Mark Cannon (ACC, 2019)

Parallel ADMM for robust quadratic optimal resource allocation problems. - Zawar Qureshi; Sebastian East; Mark Cannon (ACC, 2019)

On feasible sets for coalitional MPC. - Pablo R. Baldivieso Monasterios; Paul A. Trodden; Mark Cannon (CDC, 2019)

COSMO: A conic operator splitting method for large convex problems. - Michael Garstka; Mark Cannon; Paul Goulart (ECC, 2019)

On the convergence of stochastic MPC to terminal modes of operation. - Diego Muñoz-Carpintero; Mark Cannon (ECC, 2019)

Robust MPC with recursive model update. - Matthias Lorenzen; Mark Cannon; Frank Allgöwer (Autom., 2019)

Fast Optimal Energy Management With Engine On/Off Decisions for Plug-in Hybrid Electric Vehicles. - Sebastian East; Mark Cannon (IEEE Control. Syst. Lett., 2019)

Stochastic MPC for Additive and Multiplicative Uncertainty Using Sample Approximations. - James M. Fleming; Mark Cannon (IEEE Trans. Autom. Control., 2019)

Fast Dual-Loop Nonlinear Receding Horizon Control for Energy Management in Hybrid Electric Vehicles. - Johannes Buerger; Sebastian East; Mark Cannon (IEEE Trans. Control. Syst. Technol., 2019)

Infinite-Horizon Differentiable Model Predictive Control. - Sebastian East; Marco Gallieri; Jonathan Masci; Jan Koutník; Mark Cannon (ICLR, 2020)

A multirate variational approach to simulation and optimal control for flexible spacecraft. - Yana Lishkova; Sina Ober-Blöbaum; Mark Cannon; Sigrid Leyendecker (CoRR, 2020)

Energy Management in Plug-In Hybrid Electric Vehicles: Convex Optimization Algorithms for Model Predictive Control. - Sebastian East; Mark Cannon (IEEE Trans. Control. Syst. Technol., 2020)

Optimal Power Allocation in Battery/Supercapacitor Electric Vehicles Using Convex Optimization. - Sebastian East; Mark Cannon (IEEE Trans. Veh. Technol., 2020)

Invariant cover: Existence, cardinality bounds, and computation. - Yulong Gao; Mark Cannon; Lihua Xie 001; Karl Henrik Johansson (Autom., 2021)

COSMO: A Conic Operator Splitting Method for Convex Conic Problems. - Michael Garstka; Mark Cannon; Paul Goulart (J. Optim. Theory Appl., 2021)

Fast Self-Triggered MPC for Constrained Linear Systems With Additive Disturbances. - Li Dai 001; Mark Cannon; Fuwen Yang; Shuhao Yan (IEEE Trans. Autom. Control., 2021)

Convergence of Stochastic Nonlinear Systems and Implications for Stochastic Model-Predictive Control. - Diego Muñoz-Carpintero; Mark Cannon (IEEE Trans. Autom. Control., 2021)

Fast optimal trajectory generation for a tiltwing VTOL aircraft with application to urban air mobility. - Martin Doff-Sotta; Mark Cannon; Marko Bacic (ACC, 2022)

Difference of convex functions in robust tube nonlinear MPC. - Martin Doff-Sotta; Mark Cannon (CDC, 2022)

Safeguarded Anderson acceleration for parametric nonexpansive operators. - Michael Garstka; Mark Cannon; Paul Goulart (ECC, 2022)

A Multirate Variational Approach to Nonlinear MPC. - Yana Lishkova; Mark Cannon; Sina Ober-Blöbaum (ECC, 2022)

Stochastic output feedback MPC with intermittent observations. - Shuhao Yan; Mark Cannon; Paul J. Goulart (Autom., 2022)

Stochastic MPC With Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints. - Shuhao Yan; Paul J. Goulart; Mark Cannon (IEEE Trans. Autom. Control., 2022)

Scenario Model Predictive Control for Data-Based Energy Management in Plug-In Hybrid Electric Vehicles. - Sebastian East; Mark Cannon (IEEE Trans. Control. Syst. Technol., 2022)

Robust trajectory optimisation for transitions of tiltwing VTOL aircraft. - Martin Doff-Sotta; Mark Cannon; Marko Bacic (CCTA, 2023)

Optimization-Based Trajectory Generation and Receding Horizon Control for Systems with Convex Dynamics. - Yana Lishkova; Mark Cannon (CDC, 2023)

Robust Tube Model Predictive Control with Uncertainty Quantification for Discrete-Time Linear Systems. - Yulong Gao; Shuhao Yan; Jian Zhou; Mark Cannon; Alessandro Abate; Karl Henrik Johansson (CoRR, 2023)

Data-driven robust MPC of tiltwing VTOL aircraft. - Martin Doff-Sotta; Mark Cannon; Marko Bacic (CoRR, 2023)

Towards non-stochastic targeted exploration. - Janani Venkatasubramanian; Johannes Köhler 001; Mark Cannon; Frank Allgöwer (CoRR, 2023)

Predictive Energy Management for Hybrid Electric Aircraft Propulsion Systems. - Martin Doff-Sotta; Mark Cannon; Marko Bacic (IEEE Trans. Control. Syst. Technol., 2023)

Robust adaptive model predictive control with persistent excitation conditions. - Xiaonan Lu; Mark Cannon (Autom., 2023)

Guest Editorial Special Issue on State-of-the-Art Applications of Model Predictive Control. - Fabrizio Dabbene; Mark Cannon; Mohammadreza Chamanbaz; Alf J. Isaksson; Martina Mammarella; Davide M. Raimondo (IEEE Trans. Control. Syst. Technol., 2023)

Model Predictive Control for Closed-Loop Deep Brain Stimulation. - Sebastian Steffen; Mark Cannon; Huiling Tan; Jean Debarros (CDC, 2024)

Safe learning in nonlinear model predictive control. - Johannes Buerger; Mark Cannon; Martin Doff-Sotta (L4DC, 2024)

Learning-based rigid tube model predictive control. - Yulong Gao; Shuhao Yan; Jian Zhou; Mark Cannon; Alessandro Abate; Karl Henrik Johansson (L4DC, 2024)

Robust targeted exploration for systems with non-stochastic disturbances. - Janani Venkatasubramanian; Johannes Köhler 001; Mark Cannon; Frank Allgöwer (CoRR, 2024)

Asynchronous ADMM via a Data Exchange Server. - ZhouDan Pan; Mark Cannon (IEEE Trans. Control. Netw. Syst., 2024)

A Constraint Homotopy Active Set Solver for Linear-Quadratic Optimal Control. - Johannes Buerger; Mark Cannon (IEEE Trans. Autom. Control., 2024)

Deep Learning Model Predictive Control for Deep Brain Stimulation in Parkinson's Disease. - Sebastian Steffen; Mark Cannon (CoRR, 2025)

Learning-based Homothetic Tube MPC. - Yulong Gao; Shuhao Yan; Jian Zhou; Mark Cannon (CoRR, 2025)