On a convex parameter space method for linear control design of uncertain systems
SIAM Journal on Control and Optimization
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)
Fulfilling hard constraints in uncertain linear systems by reference managing
Automatica (Journal of IFAC)
Control of Uncertain Systems with Bounded Inputs
Control of Uncertain Systems with Bounded Inputs
Brief paper: Moving horizon H∞ control with performance adaptation for constrained linear systems
Automatica (Journal of IFAC)
Constrained linear time-varying quadratic regulation with guaranteed optimality
International Journal of Systems Science
Robust model predictive control schemes for tracking setpoints
Journal of Control Science and Engineering
Automatica (Journal of IFAC)
Robustly asymptotically stable finite-horizon MPC
Automatica (Journal of IFAC)
Brief Optimizing the end-point state-weighting matrix in model-based predictive control
Automatica (Journal of IFAC)
Robust constrained predictive control of uncertain norm-bounded linear systems
Automatica (Journal of IFAC)
Piecewise affinity of min-max MPC with bounded additive uncertainties and a quadratic criterion
Automatica (Journal of IFAC)
Predictive switching supervisory control of persistently disturbed input-saturated plants
Automatica (Journal of IFAC)
Output feedback model predictive control for LPV systems based on quasi-min-max algorithm
Automatica (Journal of IFAC)
Stochastic model predictive control of LPV systems via scenario optimization
Automatica (Journal of IFAC)
Hi-index | 22.16 |
A novel robust predictive controller for input-saturated LTV discrete-time systems with polytopic model uncertainties is presented. The solution is based on the minimization, at each time instant, of an upper-bound of the ''worst-case'' infinite horizon quadratic cost under the constraint of steering the set-valued future state evolutions emanating from the current state into a feasible and positive invariant set. A condition on the initial state is given that suffices to ensure problem solvability for all subsequent time instants. Under the latter, the proposed predictive controller is proved to robustly asymptotically stabilize the input-saturated LTV polytopic system.