[PDF][PDF] Model predictive control for automated vehicle steering
A Reda, A Bouzid, J Vásárhelyi - Acta Polytechnica Hungarica, 2020 - acta.uni-obuda.hu
The autonomous vehicle steering system, a multi-input multi-output (MIMO) system, is
challenging to design using traditional controllers due to the interaction between inputs and …
challenging to design using traditional controllers due to the interaction between inputs and …
[PDF][PDF] Robust MPC controller design for switched systems using multi-parameter dependent Lyapunov function
V Vesely, D Rosinová - … Journal of Innovative Computing, Information and …, 2014 - ijicic.org
The paper addresses the problem of designing a robust output/state model predictive control
for linear polytopic switched systems. We propose a new method for calculation of control …
for linear polytopic switched systems. We propose a new method for calculation of control …
Dynamic output feedback model predictive control for polytopic uncertain systems under decode and forward cooperative relay protocol
W Zhang, Z Yang, H Wang, Y Zhao - International Journal of …, 2024 - Taylor & Francis
This paper addresses the robust model predictive control (RMPC) problem for a class of
polytopic uncertain systems under the decode and forward cooperative relay protocol …
polytopic uncertain systems under the decode and forward cooperative relay protocol …
Parameterised controller synthesis for SISO-LTI uncertain plants using frequency domain information
H Parastvand, MJ Khosrowjerdi - International Journal of Systems …, 2016 - Taylor & Francis
This paper extends the results of a new model-free approach which has been applied to
guarantee nominal stability and performance. In this paper, using a particular controller …
guarantee nominal stability and performance. In this paper, using a particular controller …
Robust model predictive controller design
D Vozák, V Veselý - IFAC Proceedings Volumes, 2014 - Elsevier
This paper addresses to the problem of designing, modelling and practical realization of
robust model predictive control which ensures a parameter dependent quadratic stability …
robust model predictive control which ensures a parameter dependent quadratic stability …
Robust model predictive control design of switched systems
V Veselý, D Rosinová - IFAC Proceedings Volumes, 2012 - Elsevier
The paper addresses the problem of designing a robust output/state model predictive control
for linear polytopic switched systems. We propose the new method for calculation of control …
for linear polytopic switched systems. We propose the new method for calculation of control …
[PDF][PDF] Optimal offline mpc design: Output feedback
J Paulusová, V Veselý - … Journal of Innovative Computing, Information and …, 2021 - ijicic.org
The paper deals with a problem of model predictive controller design, with a unique
structure of output feedback (observer-computed state vector) and optimal offline design …
structure of output feedback (observer-computed state vector) and optimal offline design …
[PDF][PDF] Stable predictive control with input constraints based on variable gain approach
D Vozák, V Veselý - Int. Rev. Autom. Control, 2014 - researchgate.net
The paper presents a method of the predictive controller design which guarantees robust
stability of the closed-loop system and minimizes the sum of squares of errors. Design is …
stability of the closed-loop system and minimizes the sum of squares of errors. Design is …
Design of robust networked predictive control systems with packet loss
QT Nguyen, V Veselý - IFAC Proceedings Volumes, 2012 - Elsevier
The paper addresses problem of designing a robust output feedback model predictive
control for uncertain linear systems over networks with packet-loss. The packet-loss process …
control for uncertain linear systems over networks with packet-loss. The packet-loss process …
Efficient algorithms for online tracking of set points in robust model predictive control
This paper presents some computationally efficient algorithms for online tracking of set
points in robust model predictive control context subject to state and input constraints. The …
points in robust model predictive control context subject to state and input constraints. The …