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- David Q. Mayne
- IEEE Transactions on Automatic Control
- 1996

- David Q. Mayne, James B. Rawlings, Christopher V. Rao, Pierre O. M. Scokaert
- Automatica
- 2000

Model predictive control is a form of control in which the current control action is obtained by solving, at each sampling instant, a "nite horizon open-loop optimal control problem, using theâ€¦ (More)

- David Q. Mayne, MarÃa M. Seron, Sasa V. Rakovic
- Proceedings of the 2004 American Controlâ€¦
- 2004

Linear matrix inequality (LMI) based optimization methods are applied to the problem of designing a model predictive controller for an uncertain constrained linear system. The control signal isâ€¦ (More)

- Christopher V. Rao, James B. Rawlings, David Q. Mayne
- IEEE Trans. Automat. Contr.
- 2003

State estimator design for a nonlinear discrete-time system is a challenging problem, further complicated when additional physical insight is available in the form of inequality constraints on theâ€¦ (More)

- Pierre O. M. Scokaert, David Q. Mayne, James B. Rawlings
- IEEE Trans. Automat. Contr.
- 1999

Practical difficulties involved in implementing stabilizing model predictive control laws for nonlinear systems are well known. Stabilizing formulations of the method normally rely on the assumptionâ€¦ (More)

- David Q. Mayne
- Eur. J. Control
- 2001

Model predictive control is the only advanced control technology that has made a substantial impact on industrial control problems; its success is largely due to its almost unique ability to handleâ€¦ (More)

- W. Langson, Ioannis Chryssochoos, Sasa V. Rakovic, David Q. Mayne
- Automatica
- 2004

A form of feedback model predictive control (MPC) that overcomes disadvantages of conventional MPC but which has manageable computational complexity is presented. The optimal control problem, solvedâ€¦ (More)

The solution to the problem of optimal control of piecewise affine systems with a bounded disturbance is characterised. Results that allow one to compute the value function, its domain (robustlyâ€¦ (More)

- David Q. Mayne
- Automatica
- 2014

This paper recalls a few past achievements inModel Predictive Control, gives an overview of some current developments and suggests a few avenues for future research. Â© 2014 Elsevier Ltd. All rightsâ€¦ (More)

- David Q. Mayne, Sasa V. Rakovic, Rolf Findeisen, Frank AllgÃ¶wer
- Automatica
- 2006

This paper provides a solution to the problem of robust output feedback model predictive control of constrained, linear, discrete-time systems in the presence of bounded state and outputâ€¦ (More)