Title :
U-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems
Author :
Azhar, Ali S Saad ; Al-Sunni, Fouad M. ; Shafiq, Muhammad
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran
Abstract :
Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. U-model is a control oriented model used to represent a wide range of non-linear discrete time dynamic plants. The proposed tracking scheme is presented and verified using simulation examples
Keywords :
MIMO systems; bilinear systems; discrete time systems; linear systems; neurocontrollers; radial basis function networks; MIMO bilinear system control; U-model based adaptive tracking scheme; bilinear systems; control oriented model; dynamical processes; linear systems; nonlinear discrete time dynamic plants; nonlinear function; radial basis functions neural networks; Control systems; Feedback control; Linear systems; MIMO; Nonlinear control systems; Nonlinear systems; Open loop systems; Robust stability; Sliding mode control; Time varying systems;
Conference_Titel :
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-9513-1
Electronic_ISBN :
0-7803-9514-X
DOI :
10.1109/ICIEA.2006.257063
