Abstract: A class of finite-horizon optimal control problems, the solution of which relies on a time-varying change of coordinates that incorporates the transition matrix of the system linearized ...
Data-Driven Linear Predictive Control of Nonlinear Processes Based on Reduced-Order Koopman Operator
Abstract: In this paper, we propose an efficient data-driven predictive control approach for general nonlinear processes based on a reduced-order Koopman operator. A Kalman-based sparse identification ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback