Endowed with the expected visions for future surgery, minimally invasive surgery (MIS) has
become one of the most rapid develo** areas in modern surgery. Soft robotics, which …

Many advances in the development of Krylov subspace methods for the iterative solution of
linear systems during the last decade and a half are reviewed. These new developments …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

In this paper we consider (hierarchical, Lagrange) reduced basis approximation and a
posteriori error estimation for linear functional outputs of affinely parametrized elliptic …

Given the square matrices A,B,D,E and the matrix C of conforming dimensions, we consider
the linear matrix equation A\mathbfXE+D\mathbfXB=C in the unknown matrix \mathbfX. Our …

In the simulation of large power system dynamics for stability analysis on a digital computer,
there is always a tug of war between capturing as much detail as possible in the simulation …

We present a new framework for optimal and feedback control of PDEs using Koopman
operator-based reduced order models (K-ROMs). The Koopman operator is a linear but …

We propose a data-driven Model Order Reduction (MOR) technique, based on Artificial
Neural Networks (ANNs), applicable to dynamical systems arising from Ordinary Differential …

This paper proposes a simple approach to design fractional-order (FO) controller via internal
model control (IMC) technique for load frequency control (LFC) problem in power systems …

Provides students with an understanding of the modeling and practice in power system
stability analysis and control design, as well as the computational tools used by commercial …