Study of the control-relevant properties of backpropagation neural network models of nonlinear dynamical systems

Computers and Chemical Engineering

Volumn 16, Issue 4, 1992, Pages 227-240

  Hernandez E ^a   Arkun, Y ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; NONLINEAR CONTROL SYSTEMS;

BACKPROPAGATION NEURAL NETWORK MODELS; CONTROL ALGORITHMS; CONTROL RELEVANT PROPERTIES; NEURAL CONTROLLER; NONLINEAR DYNAMICAL SYSTEMS;

NEURAL NETWORKS;

CONTROL SYSTEMS; MODELLING-COMPUTER; NETWORK MODELS; NEURAL NETWORKS;

EID: 0026849116     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/0098-1354(92)80044-A     Document Type: Article

References (18)

1. Use of neural networks for dynamic modeling and control of chemical process systems
2. Modeling chemical process systems via neural computation
3. Dynamic matrix control—a computer control algorithm
4. Internal model control 1 A unifying review and some new results
5. A neural network structure for system identification
6. Neural network modeling and an extended DMC algorithm to control nonlinear systems
7. Control system analysis and design via the “second method” of Lyapunov II Discrete systems
8. Neural networks for nonlinear programming
9. Nonlinear state feedback control of second-order nonminimum-phase non-linear systems
10. On input-output linearization of discrete-time nonlinear systems
11. Use of neural networks for sensor failure detection in a control system
12. Identification and control of dynamical systems using neural networks
13. Neural controllers
14. Adaptive networks for fault diagnosis and process control
15. Forecasting and control using adaptive connectionist networks