Robust constrained model predictive control using linear matrix inequalities
Automatica (Journal of IFAC)
Worst-case formulations of model predictive control for systems with bounded parameters
Automatica (Journal of IFAC)
Robust time-optimal control of constrained linear systems
Automatica (Journal of IFAC)
A numerically robust state-space approach to stable-predictive control strategies
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Systems with persistent disturbances: predictive control with restricted constraints
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief A receding-horizon approach to the nonlinear H∞ control problem
Automatica (Journal of IFAC)
Robust model predictive control of a nuclear power plant pressurizer subsystem
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
Automation and Remote Control
An ellipsoidal off-line MPC scheme for uncertain polytopic discrete-time systems
Automatica (Journal of IFAC)
Robust control of ship fin stabilizers subject to disturbances and constraints
ACC'09 Proceedings of the 2009 conference on American Control Conference
Decentralized receding horizon control of multiple vehicles subject to communication failure
ACC'09 Proceedings of the 2009 conference on American Control Conference
Robust MPC of constrained discrete-time nonlinear systems based on approximated reachable sets
Automatica (Journal of IFAC)
Robust model predictive control of constrained linear systems with bounded disturbances
Automatica (Journal of IFAC)
Tube-based distributed control of linear constrained systems
Automatica (Journal of IFAC)
An algorithm for robust explicit/multi-parametric model predictive control
Automatica (Journal of IFAC)
Provably safe and robust learning-based model predictive control
Automatica (Journal of IFAC)
Hi-index | 22.16 |
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, solved on-line, yields a 'tube' and an associated piecewise affine control law that maintains the controlled trajectories in the tube despite uncertainty; computational complexity is linear (rather than exponential) in horizon length. Asymptotic stability of the controlled system is established.