This paper considers the problem of passing from a linear time-invariant high order
controller designed for a linear time-invariant plant (of presumably high order) to a low order …

We introduce a numerical algorithm to simulate the time evolution of a matrix product state
under a long-ranged Hamiltonian in moderately entangled systems. In the effectively one …

Robustness is often of crucial importance in control system design. Real engineering
systems are vulnerable to external disturbance and measurement noise and there are …

This work is aimed at mathematics and engineering graduate students and researchers in
the areas of optimization, dynamical systems, control sys tems, signal processing, and linear …

In this book, the author adopts a state space approach to time series modeling to provide a
new, computer-oriented method for building models for vector-valued time series. This …

A dynamic system model is proper for a particular application if it achieves the accuracy
required by the application with minimal complexity. Because model complexity often—but …

We address the problem of learning the parameters of a stable linear time invariant (LTI)
system with unknown latent space dimension, or order, from a single time—series of noisy …

Very general reduced order filtering and modeling problems are phased in terms of
choosing a state based upon past information to optimally predict the future as measured by …

A new methodology for model reduction of multi-input multi-output systems exploits the
notion of an oblique projection. A reduced model is uniquely defined by a projector whose …

A new set of invariants for linear systems--Application to reduced order compensator design
Page 1 IEEE TMWNSACTIONS ON AUTOHATIC CONTROL, VOL. AC-28. NO. 10 …