Representing nonlinear systems by linear models along with structured or unstructured
uncertainties and applying robust control strategies could reduce the computational …

An observer‐based output feedback predictive control approach is proposed for linear
parameter varying systems with norm‐bounded external disturbances. Sufficient and …

The design of robust model predictive controller (RMPC) for uncertain nonlinear system is a
challenging problem in the area of nonlinear control, yet. A new approach to RMPC is …

The presence of systems with polytopic disturbances in practice is highlighted through a
novel reference tracking control method for nonlinear systems. The main steps are to obtain …

The paper provides an extensive experimental analysis of offset-free multivariable robust
model predictive control (MPC) of a neutralisation plant. The behaviour of the neutralisation …

Robust model predictive control (RMPC) has gained much attention in the past two decades.
For classic finite-horizon RMPC, a terminal constraint set together with a terminal cost …

The paper discusses the robustness a model predictive control (MPC). Different MPC tuning
methods are proposed in order to obtain the desired closed-loop behavior. Both cases when …

In this paper, a decentralized model predictive control approach is proposed for discrete
linear systems with a high number of inputs and states. The system is decomposed into …

In practical control systems, the plant states are not always measurable, so state estimation
becomes essential before the state feedback control is applied. In this paper, we consider …

In order to reduce the online calculation amount and improve the response speed, this
paper proposes a robust model predictive control algorithm for nonlinear uncertain systems …