but is no longer kept current and may contain obsolete or inaccurate references. We regret any inconvenience this may cause. For the latest information on Agilent's line of EEsof electronic design automation (EDA) products and services, please go to: Active linearization has become an important technology in modern communications systems. The emphasizes on higher data rates and spectral efficie...

This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional...

In the context of composite parametric surface meshing using a direct or an indirect (via the meshing of parametric domains) method, the discretization of interface curves joining patches plays a central part. In the case of an indirect method, the discretization of interface curves must be taken back to parametric spaces. This is usually done using root nding techniques for generally non-linea...

We describe a linearization algorithm for μCRL processes, similar to the one described in [21] for a subset of the language called parallel pCRL. This algorithm finds its roots in formal language theory: the ‘grammar’ defining a process is transformed into a variant of Greibach Normal Form. Next, any such form is further reduced to linear form, i.e., to an equation that resembles a right-linear...

We describe a linearization algorithm for μCRL processes, similar to the one described in [21] for a subset of the language called parallel pCRL. This algorithm finds its roots in formal language theory: the ‘grammar’ defining a process is transformed into a variant of Greibach Normal Form. Next, any such form is further reduced to linear form, i.e., to an equation that resembles a right-linear...

The stochastic response of dynamic systems has been an area of considerable interest for some time in the analysis of risk and structural reliability. The authors, in previous work, have developed a method which can analyze the response of linear multi-degree-of-freedom systems to completely general data-based nonstationary excitations in a highly efficient and analytical form. The authors exte...

This work investigates the position control of an underactuated mechatronic system for straight needle insertions in soft tissues. The consists a pneumatic cylinder pushing slender supported at base and subject to external forces tip due interactions with dynamics is described by rigid-link model controller design purposes. main contribution this new energy shaping law that: (i) does not rely o...

In this work, the author presents a method called Convex Model Predictive Control (CMPC) to control systems whose states are elements of the rotation matrices SO(n) for n = 2, 3. This is done without charts or any local linearization, and instead is performed by operating over the orbitope of rotation matrices. This results in a novel model predictive control (MPC) scheme without the drawbacks ...

We analyze a class of modified augmented Lagrangian-based preconditioners for both stable and stabilized finite element discretizations of the steady incompressible Navier–Stokes equations. We study the eigenvalues of the preconditioned matrices obtained from Picard linearization, and we devise a simple and effective method for the choice of the augmentation parameter γ based on Fourier analysi...

The optimal development planning of offshore oil and gas fields has received significant attention in recent years. In this paper, we present an efficient investment and operational planning model for this problem which is fairly generic, and is extended to include fiscal considerations. With the objective of maximizing total NPV for long-term planning horizon, the proposed non-convex multiperi...