Model predictive control: theory and practice—a survey
Automatica (Journal of IFAC)
Control of Linear Systems with Regulation and Input Constraints
Control of Linear Systems with Regulation and Input Constraints
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
GloptiPoly: Global optimization over polynomials with Matlab and SeDuMi
ACM Transactions on Mathematical Software (TOMS)
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Automatica (Journal of IFAC)
Constrained stabilization problems for linear plants
Automatica (Journal of IFAC)
Stabilizing low complexity feedback control of constrained piecewise affine systems
Automatica (Journal of IFAC)
Hi-index | 22.14 |
This paper presents a general framework for the design of linear controllers for linear systems subject to time-domain constraints. The design framework exploits sums-of-squares techniques to incorporate the time-domain constraints on closed-loop signals and leads to conditions in terms of linear matrix inequalities (LMIs). This control design framework offers, in addition to constraint satisfaction, also the possibility of including an optimization objective that can be used to minimize steady state (tracking) errors, to decrease the settling time, to reduce overshoot and so on. The effectiveness of the framework is shown via a numerical example.