Wheel slip control with torque blending using linear and nonlinear model predictive control. Vehicle System Dynamics, 55, 1665–1685. Taylor & Francis. University of Waterloo. University of Waterloo.

Different high-speed quadratic programming (QP) solvers are incorporated into an ANSI C code generation framework for embedded Model Predictive Control (MPC). The controllers developed are based on ...

Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

An application of Non-Linear Model Predictive Control (NLMPC) to the stabilisation of a kinematic model of a two wheel mobile robot with input and (non-holonomic) state constraints is studied. Since ...

2.4. Model Predictive Control Development. The linear discrete-time state space models (Equations 7, 15) are used as constraints in an MPC controller that is run at 20 Hz. A flow chart for the control ...

The release of the NI LabVIEW 8.5 control design and simulation module adds features that help to analyze open-loop model behavior, design closed-loop controllers, simulate systems, and create ...