A Koopman bilinear set-membership method designs rational state-feedback controllers via SOS optimization that stabilize unknown nonlinear systems for all models consistent with data and bounded residuals.
On the design of rational polynomial state feedback controllers,
2 Pith papers cite this work. Polarity classification is still indexing.
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A filter line search SQP algorithm reduces iterations and computation time for nonconvex SOS programs compared to prior methods.
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A Koopman Set-Membership Approach for Nonlinear Data-Driven Control with Stability Guarantees
A Koopman bilinear set-membership method designs rational state-feedback controllers via SOS optimization that stabilize unknown nonlinear systems for all models consistent with data and bounded residuals.
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On the Practical Implementation of a Sequential Quadratic Programming Algorithm for Nonconvex Sum-of-squares Problems
A filter line search SQP algorithm reduces iterations and computation time for nonconvex SOS programs compared to prior methods.