The focus of the paper is the development and application to experimental equipment of fast constrained predictive control algorithms based on feedback linearisation. Rather than use quadratic programming (QP) optimisation is performed, deploying a computationally much cheaper alternative based on interpolation and linear programming (LP). Despite its undemanding computational nature, this algorithm is found to perform well both in simulation, and when applied to an actual couple-tanks rig. The advantages of the algorithm are further illustrated by comparison with PID control
Interpolation involving constrained optima offers distinctive advantages for linear and non-linear m...
A predictive control algorithm is presented that uses a weighted sum of Linear quadaratic (LQ) optim...
This paper describes an experimental application of constrained predictive control and feedback li...
A new method for the design of predictive controllers for SISO systems is presented. The proposed te...
Abstract: A new method for the design of predictive controllers for SISO systems is presented. The p...
The paper is focused in design of an adaptive predictive control algorithm and its application for c...
Abstract This paper shows a comparison between two linear controllers, a PI-LQR and a Soft-Constrai...
Linearization, interpolation and end-point constraints are combined to derive a receding horizon pre...
Model predictive control is a control approach that is commonly used in industrial processes. Howeve...
Constituting reliable optimal solution is a key issue for the nonlinear constrained model predictive...
Abstract: The applicability of nonlinear predictive control algorithms is limited by the necessity o...
Two approaches to control system design for constrained systems are studied. The first involves theo...
In the practical cases, a manipulator is required to perform tasks, usually end-effector position an...
A computationally inexpensive model predictive control strategy for constrained linear systems is pr...
This paper discusses an algorithm for efficiently calculating the control moves for constrained nonl...
Interpolation involving constrained optima offers distinctive advantages for linear and non-linear m...
A predictive control algorithm is presented that uses a weighted sum of Linear quadaratic (LQ) optim...
This paper describes an experimental application of constrained predictive control and feedback li...
A new method for the design of predictive controllers for SISO systems is presented. The proposed te...
Abstract: A new method for the design of predictive controllers for SISO systems is presented. The p...
The paper is focused in design of an adaptive predictive control algorithm and its application for c...
Abstract This paper shows a comparison between two linear controllers, a PI-LQR and a Soft-Constrai...
Linearization, interpolation and end-point constraints are combined to derive a receding horizon pre...
Model predictive control is a control approach that is commonly used in industrial processes. Howeve...
Constituting reliable optimal solution is a key issue for the nonlinear constrained model predictive...
Abstract: The applicability of nonlinear predictive control algorithms is limited by the necessity o...
Two approaches to control system design for constrained systems are studied. The first involves theo...
In the practical cases, a manipulator is required to perform tasks, usually end-effector position an...
A computationally inexpensive model predictive control strategy for constrained linear systems is pr...
This paper discusses an algorithm for efficiently calculating the control moves for constrained nonl...
Interpolation involving constrained optima offers distinctive advantages for linear and non-linear m...
A predictive control algorithm is presented that uses a weighted sum of Linear quadaratic (LQ) optim...
This paper describes an experimental application of constrained predictive control and feedback li...