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This paper is concerned with Model Order Reduction (MOR) for nanoelectronics coupled problems with many inputs. Our main applications are electro-thermal coupled problems described by nonlinear quadratic differential-algebraic systems (DAEs). We present algorithms that combine the advantages of the splitting techniques for DAEs and the existing MOR methods for systems with many inputs such as sparse...
This paper provides a simple approach to the problem of robust output feedback model predictive control (MPC) for linear systems with state and input constraints, subject to bounded state disturbances and output measurement errors. The problem of estimating the state is addressed by using moving horizon estimation (MHE). For such an MHE estimator, it is shown that the state estimation error converges...
Interpolation techniques are well known in reducing the online computational effort of optimal control strategies, such as model predictive control. A general interpolation-based time-optimal control (TOC) for a constrained linear system with bounded disturbances is presented. The terminal controller is nonlinear, which interpolates among multiple predetermined linear feedback laws, and the corresponding...
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