14th Southern California Nonlinear Control Workshop




Adjoint-based Model Predictive Control and Identification of Switched Nonlinear Systems
Sean Summers, UCSD
Advisor: Tom Bewley

We present a new, user friendly, easily extensible Matlab toolbox, MPDopt, for adjoint-based trajectory optimization, parameter identification, and linear feedback stabilization in both smooth nonlinear systems as well as systems in which the governing equation  "switches'' when the system changes operational modes.  The code features automatic generation of the requisite state and adjoint solvers from the governing ODE's provided in symbolic form.




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