A neural-network framework learns parameter-dependent controllers and Lyapunov functions for nonlinear parameter-varying systems, improving on sum-of-squares methods in applicability and scalability.
Fault-tolerant control synthesis for a class of nonlinear systems: Sum of squares optimization approach,
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Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
A neural-network framework learns parameter-dependent controllers and Lyapunov functions for nonlinear parameter-varying systems, improving on sum-of-squares methods in applicability and scalability.