Algebraic model predictive control is a more efficient predictive control algorithm in which the optimal control problem can be reduced down to a single ...

This paper introduces a method of improving the constraint handling performance of the system by introducing additional points at which the constraints are ...

Abstract: We describe an efficiently computed suboptimal control law which is exponentially stabilizing in the presence of constraints and which converges ...

The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.

The comparable performance is achieved with existing standard model predictive control algorithm. Simulation results well demonstrate its effectiveness.

A computationally inexpensive model predictive control strategy for constrained linear systems is presented. We describe an efficiently computed suboptimal ...

Apr 5, 2022 · A robust model predictive control (MPC) method is presented for linear, time-invariant systems affected by bounded additive disturbances.

Oct 22, 2024 · In this review, we focus on model predictive control of constrained systems, both linear and nonlinear and discuss only briefly model predictive control of ...

In this thesis, two original algorithms will be developed that address the conservativeness and complexity issues in min-max MPC. The first algorithm is a min- ...

This thesis seeks to develop safe, robust, and computationally efficient control methodologies for constrained nonlinear systems with uncertain dynamics and ...