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Detecting change in complex process systems with phase space methods
(Stellenbosch : University of Stellenbosch, 2006-12)
Model predictive control has become a standard for most control strategies in modern
process plants. It relies heavily on process models, which might not always be
fundamentally available, but can be obtained from time ...
Detecting change in nonlinear dynamic process systems
(Stellenbosch : University of Stellenbosch, 2004-04)
ENGLISH ABSTRACT: As result of the increasingly competitive performance in today’s industrial environment, it
has become necessary for production facilities to increase their efficiency. An essential step
towards increasing ...
Diagnostic monitoring of dynamic systems using artificial immune systems
(Stellenbosch : University of Stellenbosch, 2006-12)
The natural immune system is an exceptional pattern recognition system based on
memory and learning that is capable of detecting both known and unknown
pathogens. Artificial immune systems (AIS) employ some of the ...
Multivariate nonlinear time series analysis of dynamic process systems
(Stellenbosch : University of Stellenbosch, 2003-04)
ENGLISH ABSTRACT: Physical systems encountered in process engineering are invariably ill-defined, multivariate,
and exhibit complex nonlinear dynamical behaviour. The increasing demands
for better process efficiency and ...
Analysis of process data with singular spectrum methods
(Stellenbosch : University of Stellenbosch, 2003-12)
ENGLISH ABSTRACT: The analysis of process data obtained from chemical and metallurgical engineering systems
is a crucial aspect of the operating of any process, as information extracted from the data is
used for control ...