On linear programming and robust modelpredictive control using impulse-responses
Systems & Control Letters
Receding horizon revisited: An easy way to robustly stabilize an LTV system
Systems & Control Letters
Mixed H2/H∞ control for discrete-time systems via convex optimization
Automatica (Journal of IFAC) - Special issue on robust control
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)
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
Lectures on modern convex optimization: analysis, algorithms, and engineering applications
A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Quasi-Min-Max MPC algorithms for LPV systems
Automatica (Journal of IFAC)
Brief An improved approach for constrained robust model predictive control
Automatica (Journal of IFAC)
Brief A receding-horizon approach to the nonlinear H∞ control problem
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Robust constrained predictive control of uncertain norm-bounded linear systems
Automatica (Journal of IFAC)
T-S model-based nonlinear moving-horizon H∞ control and applications
Fuzzy Sets and Systems
Hi-index | 22.14 |
This paper presents a moving horizon H"~ control formulation, where disturbance attenuation is explicitly considered and the performance is on-line adapted to satisfy time-domain constraints. The main ingredient is the introduction of a dissipation constraint, combined with on-line monitoring the dissipation level and minimizing H"~ performance. A sufficient condition on the amplitude of the disturbances is derived to guarantee the feasibility of the optimization problem at each time. The proposed scheme offers the capability of automatically relaxing the performance level in order to obey hard time-domain constraints, while enhancing it when sufficient reserves have been accumulated in the dissipation level so as to improve performance.