Robust Empirical Model-Based Algorithms for Nonlinear Processes
This research work proposes two robust empirical model-based predictive control algorithms for nonlinear processes. Chemical process are generally highly nonlinear thus predictive control algorithms that explicitly account for the nonlinearity of the process are expected to provide better closed-loo...
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| Language: | en |
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2010
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| Online Access: | http://hdl.handle.net/10012/5314 |