Model predictive control of linear time varying systems using Laguerre functions
- Resource Type
- Conference
- Authors
- Ettefagh, Massoud Hemmasian; Naraghi, Mahyar; Towhidkhah, Farzad; De Dona, Jose
- Source
- 2016 Australian Control Conference (AuCC) Control Conference (AuCC), 2016 Australian. :120-125 Nov, 2016
- Subject
- Aerospace
Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Time-varying systems
Predictive control
Optimization
Australia
Linear systems
Stability analysis
Transfer functions
Model Predictive Control
Laguerre functions
- Language
It has been shown that Laguerre functions successfully reduce the number of decision variables in model predictive control of linear time invariant (LTI) systems. In this paper we extend the use of Laguerre functions to deal with linear time-varying (LTV) systems in the model predictive control framework. It is shown that Laguerre functions enable us to reduce the number of decision variables significantly and with a satisfactory performance. An example illustrating the unconstrained and constrained cases is provided.