Pole assignment optimization is important for improving system stability. This paper
considers the regional pole assignment optimization based on the swam intelligence …

A new randomized algorithm is suggested, for extracting static-output-stabilizing-feedbacks,
with approximately minimal-norm, for LTI systems. The algorithm has two similar stages …

The design of direct data-based controllers has become a fundamental part of control theory
research in the last few years. In this paper, we consider three classes of data-based state …

The focus of this paper is the connection between two foundational areas of linear time-
invariant (LTI) systems theory: geometric control and eigenstructure assignment. In …

We consider the classic problem of pole placement by state feedback. We offer an
eigenstructure assignment algorithm to obtain a novel parametric form for the pole-placing …

This paper investigates the design problem of output feedback control to a type of quasi-
linear high-order systems containing time-variant coefficient matrices which include time …

In this paper we employ the Rosenbrock system matrix pencil for the computation of output-
nulling subspaces of linear time-invariant systems which appear in the solution of a large …

In this paper, the synthesis of robust memory modes for linear quantum passive systems in
the presence of unknown inputs has been studied, aimed at facilitating secure storage and …

The minimum-gain eigenvalue assignment/pole placement problem (MGEAP) is a classical
problem in linear time-invariant systems with static state feedback. In this article, we study …

The classic problem of robust pole placement for linear time invariant systems via state
feedback has been studied for several decades, and involves obtaining a gain matrix that …