Title :
Robust adaptive controller for nonlinear systems
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
The basic concept of the design of a dynamic neural controller is discussed with emphasis on the control problem. A general neural network is used to design the controller motivated by the robust linear controller design method. The method unifies the nonlinear components in the controller and the plant. This scheme simplifies the structure of the dynamic neural controller and modeling. Simulation results demonstrate the effectiveness of the new method.<>
Keywords :
adaptive control; feedforward neural nets; neurocontrollers; nonlinear control systems; robust control; dynamic neural controller; general neural network; nonlinear systems; robust adaptive controller; robust linear controller design method; Adaptive control; Control systems; Feeds; Neural networks; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Robust control;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320524
