Title :
The nonlinear process control with internal model and multilayer neural
Author :
Puscasu, Gheorghe
Author_Institution :
Dept. of Autom. & Electron., Galati Univ., Romania
Abstract :
When the method for the calculation of the command law does not exist, it is advantageous to use control structures which are implemented with neural networks. This paper deals with the following aspects: 1) the internal model control with emphasises on the performance of the controlled system regarding the input signal and the perturbation; and 2) the controlling system behaviour at the process parameter variation and at the manifestation of the unmodeled dynamics
Keywords :
feedforward neural nets; identification; neurocontrollers; nonlinear control systems; process control; transfer functions; SISO systems; control structures; identification; internal model control; multilayer neural network; nonlinear process control; perturbation; transfer function; unmodeled dynamics; Automatic control; Automation; Control system synthesis; Equations; Inverse problems; Multi-layer neural network; Process control; Signal processing; Stability; Transfer functions;
Conference_Titel :
Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference
Conference_Location :
St. Petersburg
Print_ISBN :
0-7803-4247-X
DOI :
10.1109/COC.1997.626660
