This paper extends the energy-based version of the stochastic linearization method, known for classical nonlinear systems, to open quantum systems with canonically commuting dynamic variables governed by quantum stochastic differential equations with non-quadratic Hamiltonians. The linearization proceeds by approximating the actual Hamiltonian of the quantum system by a quadratic function of it...

In this paper we prove that for Hessenberg delay-DAEs of retarded type, the direct linearization along the stationary solution yields the same linear delay ODE as the linearization of the state space form of the original problem, which is assured to be legitimate. Thus according to the theory of 6], the study of the asymptotic stability of the DDAE along the stationary solution can be transform...

According to the World Investment Report 2004, the structure of FDI has shifted towards services. Further, the composition of services FDI is also changing from trade and finance to such industries as electricity, water, telecommunications, storage and transportation. In the latter sector the value of FDI stock rose 16-fold between 1990 and 2002. Incorporating a transport sector dominated by mu...

A linearization technique for reducing third-order intermodulation distortion that uses the injection of the fundamental signal second harmonics together with the fundamental signals at the amplifier input has been improved in this paper. The procedure proposed introduces phase correction of the fundamental signals according to the differences in phase of the second harmonics. Linearization tec...

This paper examines some features of Mexico’s foreign trade in manufactures from the perspective of recent developments in international trade theory, while bringing some characteristics of Mexico’s industrial organization into the analysis. After a brief review of the applied literature on Mexico’s foreign trade, the paper develops a taxonomy of manufacturing industries, according to the natur...

Black-box modeling techniques based on artificial neural networks are opening new horizons for modeling and controlling nonlinear processes in biotechnology and chemical process industries. The link between dynamic process models and actual process control is provided by the concept of model based control (MBC), e.g. Internal Model Control (IMC) or Model Based Predictive Control (MBPC). To avoi...