Title :
A receding-horizon multiple model based control scheme for nonlinear systems
Author :
Previdi, Fabio ; Sacone, Simona ; Parisini, Thomas
Author_Institution :
DIGI, Bergamo Univ., Dalmine, Italy
Abstract :
A multiple model based nonlinear control scheme for nonlinear discrete-time systems is considered. A set of optimal receding-horizon feedback control functions is defined, based on a description of the nonlinear plant by means of interpolation of a set of local models, using a family of nonlinear validity functions. To obtain the control law to be applied to the plant, interpolation of the local control actions is done, using the same validity function family. This choice allows to carry out the stability analysis of the equilibrium of the multiple model control scheme.
Keywords :
control system synthesis; discrete time systems; nonlinear control systems; optimal control; stability; feedback control; multiple model control scheme; nonlinear control scheme; nonlinear discrete-time systems; receding-horizon multiple model; stability analysis; Artificial intelligence; Control design; Feedback control; Interpolation; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Regulators; Stability analysis; State-space methods;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272811
