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This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of by introducing nonparametric models based on kernel functions in order to estimate arbitrary nonlinearities without prior knowledge. In comparison to the previous work of, which also dealt with unknown nonlinearities, the new algorithm assumes the...
p-Cycles present a very interesting approach to building survivable networks. They have been widely studied for unicast and recently for multicast traffic. For anycast traffic almost no research have been done. We will discuss a new p-cycles version, called Anycast-Protecting p-Cycles, introduced in our previous paper. We provide detailed description of some new properties, ILP models, results and...
The matrix converter (MC) is a promising topology for various applications due to its intrinsic advantages. In this sense, this type of converter represent an alternative for small wind turbines (SWT). Simulation is necessary to validate the controllers and study the interaction of the wind farm with the grid, but this is not feasible using traditional simulation techniques. This work proposes the...
The causes for which fast-hard-switching operation may differ from the traditional clamped inductive switching mode are mainly attributed to the parasitic loop inductances of PCB and device package as well as the parasitic output capacitances of the semiconductor switch. These parasitic elements form the basis of the proposed model, which fundamentally represents the dynamics of hard-switched converters...
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state variables in steady-state. Accurate state variable estimation can be achieved by previously simulating a set of multi-resolution approximations - averaged models of the original topological...
State assignment for finite state machines is a critical optimization problem in the synthesis of sequential circuits. In this paper we address the state assignment problem from a low power perspective. We experiment with Boolean Satisfiability and Integer Linear Programming techniques to solve the assignment problem where the primary goal is the reduction of switching activity during state transitions...
A proper design of a large solar heating system is important to maximize the benefit of the system. The system hydraulics, control parameters and dimensions of single components are usually tried to be optimized towards achieving better system performance at lower costs. The complexity of the target functions, a large number of optimization parameters and boundary conditions imposed on the system...
This paper addresses non-Zenoness of a class of Lipschitz piecewise analytic systems subject to state perturbations and parameter uncertainties, motivated by sensitivity analysis of such systems. Specifically, the existence of uniform bounds on the number of mode switchings on a finite time interval is established for perturbed systems. For general parameterized piecewise analytic systems, this is...
Optimization via simulation (OvS) is an exciting and fast developing area for both research and practice. In this article, we introduce three types of OvS problems: the R&S problems, the continuous OvS problems and the discrete OvS problems, and discuss the issues and current research development for these problems. We also give some suggestions on how to use commercial OvS software in practice.
Simulation of many dynamic real world systems such as the Internet and social networks requires developing dynamic models for the underlying networks in these systems. Currently, there is a large body of work devoted towards determining the underlying mechanisms that create these networks, but the resulting models have not realistically captured many of the important structural characteristics when...
This paper presents a residential energy and power conservation system that utilizes an optimization model and user side controller. The aim of this paper is to enforce a reduction in the users' current level of consumption and yet minimize any discomfort as the result. An energy usage optimization model is the foundation of this work. It computes a set of directives for a specific user based on the...
An optimization-based computational model is proposed to study the constrained domain switching in polycrystalline ferroelectrics. Charge screening effect is taken into account thus the depolarization field induced by polarization switching vanishes. The stress field induced by non-180deg switching cannot be compensated and is considered in an Eshelby inclusion manner. Domain switching is realized...
In this paper we develop advanced control methods for routing individual vehicles which ensure automatic transportation of bags in a baggage handling system of an airport. In particular we consider distributed model predictive control and a distributed heuristic control approach. The baggage handling system performs efficiently if all the bags are transported to the corresponding end points within...
This paper presents a novel interconnect technology and packaging solution for silicon power devices, along with the virtual prototyping tool created to develop the concept and optimize it in terms of reliability. The technology is based on the use of bumps (i.e., conductive spheres or cylinders) to connect the surface of vertical power components and is characterized, in comparison with standard...
Efficient power modeling of a generic class of digital circuits is crucial to the analysis and development of optimization algorithms of power efficient design. This paper proposes a new switching power index model for the power analysis of multiplier-block based FIR filter. Unlike the existing glitch path count (GPC) and glitch path score (GPS), the proposed power index (PI) model takes into account...
The process of handling baggage in an airport is time-critical. Currently, the fastest way to transport the luggage is to use destination coded vehicles (DCVs). These vehicles transport the bags at high speed on a ldquominirdquo railway network. The route of each DCV has to be computed in order to optimize the performance of the system. In this paper we determine an event-based model of a DCV-based...
Process variation is recognized as a major source of parametric yield loss, which occurs because a fraction of manufactured chips do not satisfy timing or power constraints. On the other hand, both chip performance and chip leakage power depend on supply voltage. This dependence can be used for converting the fraction of too slow or too leaky chips into good ones by adjusting their supply voltage...
This paper presents Model predictive control (MPC) of nonlinear hybrid system based on neural network (NN) optimization. Multiple model method is used to modeling of nonlinear hybrid system and these models are combined using Bayes theorem. NN optimization combined gradient NN with recurrent NN is proposed to solve optimization problem of each sample time in MPC. An example of benchmark three spherical...
The voice-coil-motor is a widely used mechatronic device, which represents a typical electrodynamic actuator for machine tool axes, bonding machines and hydraulic/pneumatic valve drives. One principal task consists in steering the system precisely to a prescribed target in minimal time or with minimal energy. To achieve this goal, we formulate an optimal control problem using a dynamical system derived...
While the advantages of p-cycles and FIPP p-cycles are well established, there has been no systematic analysis of how much bandwidth they consume in comparison with the shared link or path protection schemes. It was also recently observed that, even enumerating a huge number of cycles is not necessarily a guarantee for obtaining good quality solutions with the classical ILP models if tools for large...
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