System Identification for Passive Linear Quantum Systems

Mode Representations of Linear Passive Quantum Systems

There has been much interest in modeling open quantum linear passive systems as a fundamental class of quantum control systems. Quantum linear passive systems are parameterized by triple G ∼ (S,C,Ω) consisting of an input-to-output scattering matrix S, an input-system coupling matrix C, a Hamiltonian matrix Ω for normal modes. The purpose of this paper is to characterize these systems using rec...

Subspace Identification for Linear Systems

a new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot

abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...

A METHOD FOR SOLVING FUZZY LINEAR SYSTEMS

In this paper we present a method for solving fuzzy linear systemsby two crisp linear systems. Also necessary and sufficient conditions for existenceof solution are given. Some numerical examples illustrate the efficiencyof the method.

Quantum Linear Systems Theory

This paper surveys some recent results on the theory of quantum linear systems and presents them within a unified framework. Quantum linear systems are a class of systems whose dynamics, which are described by the laws of quantum mechanics, take the specific form of a set of linear quantum stochastic differential equations (QSDEs). Such systems commonly arise in the area of quantum optics and r...