Abstract
Abstract A considerable number of algorithms have been proposed in the literature for the optimization of control policies of nonlinear chemical systems. However, most algorithms do not seem to be flexible and robust enough for their application to be a matter of routine. Rather, each of them presents typical shortcomings that restrict applications to special classes of problems. In particular, bang-bang (or on-off) policies are difficult to optimize, due to control discontinuities. In this paper we propose a strategy based on a combination of pattern recognition theory and non-linear mathematical programming for the computation of optimal singular control problems.
Published Version
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