This work contributes to the optimal design of closed-loop nonlinear systems with input saturation in the presence of unknown uncertainty. Stability conditions based on contractive constraints were developed for a general class of nonlinear systems under some Lipschitz assumptions. Closed-loop robust stability and robustly optimal performance can be guaranteed in the presence of input bounds, if the solution of the design problem, formulated as a nonlinear semi-infinite program (SIP) with differential equation constraints, can be guaranteed to be feasible. In this work, the SIP is solved by means of a local reduction approach, which requires a local representation of the so-called lower level problems associated with the SIP. The suggested design method is illustrated by means of chemical reactor control problem.
|Número de páginas||6|
|Publicación||10th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2018: Shenyang, China, 25-27 July 2018|
|Estado||Publicada - 1 ene. 2018|
|Publicado de forma externa||Sí|
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