A systematic synthesis of optimal process control with neural networks

Proceedings of the American Control Conference

Volumn 3, Issue , 2001, Pages 1910-1915

  Padhi, R ^a   Balakrishnan, S N ^a  

^a MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; BOUNDARY CONDITIONS; CHEMICAL REACTORS; COMPUTATIONAL METHODS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; FEEDBACK CONTROL; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; PARTIAL DIFFERENTIAL EQUATIONS; PROCESS CONTROL;

ADAPTIVE-CRITIC BASED NEURO-CONTROLLER; NONLINEAR PARTIAL DIFFERENTIAL EQUATION; OPTIMAL PROCESS CONTROL; TUBULAR REACTOR MODEL;

CONTROL SYSTEM SYNTHESIS;

EID: 0034852189     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2001.946018     Document Type: Conference Paper

References (7)

1. Adaptive-critic based neural networks for aircraft optimal control
2. The structure of optimal controllers of spatially-invariant distributed parameter systems
3. A new merging method of optimal control synthesis for distributed parameter systems
4. An introduction to infinite dimensional linear systems theory
5. Optimal control of a parabolic distributed parameter systems via orthogonal polynomials
6. Gradient and quasilinearization computational techniques for distributed parameter systems
7. Neurocontrol and supervised learning: An overview and evaluation