Type-1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy systems have been widely used in controls and machine learning …

… The conventional softening control method was … on the constrained predictive control method
and an optimal desired trajectory was planned with consideration of the dynamic constrains …

… Predictive control for constrained discrete-time periodic systems using a time-varying
terminal region. In: Proceedings of the 14th IFAC Conference on Methods and Models in …

… constrained control problems with optimization demands. Lots of successful papers show that
MPC as a practical constrained control … control system, nonlinear model predictive control (…

… the robotic manipulator,which tends to lead to insufficient tracking accuracy,and consider…
multivariate constraints and coupling,a robotic manipulator trajectory tracking predictive control …

… multivariable couping characteristics in the process of steering system back pressure, the
generalized predictive control … adaptive direct generalized predictive control method based on …

… tracking error accuracy, the switching control with ISMC is replaced by model predictive control
(MPC), leading to … for subway trains with speed and traction/braking force constraints. IET …

… Moreover, the genetic operator is improved and adjusted according to the constraint conditions…
A new pairing method based on multivariable state feedback predictive control[J]. Control …

… limb exoskeleton robot is a wearable intelligent robot system … considering the system frequency
stability constraint is established… The lower layer uses the model predictive control rolling …

… tracking error accuracy, the switching control with ISMC is replaced by model predictive control
(MPC), leading to … for subway trains with speed and traction/braking force constraints. IET …