Tamara Bechtold is post-doctoral researcher at Philips/NXP Research Laboratories in the Netherlands. She obtained her PhD from the University of Freiburg, Germany, with a thesis on microsystems simulation conducted at the Institute of Microsystems Technology in the group of Jan Korvink. She is the author of one book and many scientific publications. As of 2009, Tamara Bechtold has more than ten years of experience in modeling and simulation of MEMS. Gabriele Schrag is currently heading a research group at the Munich University of Technology, Germany, working in the field of MEMS modeling with a focus on virtual prototyping and predictive simulation methodologies, parameter extraction, and model verification for microdevices and microsystems. She studied physics at the University of Stuttgart and received her doctorate (with honors) from the Munich University of Technology in 2002, her thesis covering the 'Modeling of Coupled Effects in Microsystems' with a special emphasis on fluid-structure interaction and viscous damping effects. Gabriele Schrag authored and co-authored more than 70 publications in technical journals and conference proceedings.Lihong Feng is a team leader in the research group of Computational Methods in Systems and Control theory headed by Professor Peter Benner, Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, Germany. After her PhD from Fudan University in Shanghai, China, she joined the faculty of the State Key Laboratory of Application-Specific Integrated Circuits (ASIC) & System, Fudan University, Shanghai, China. From 2007 to 2008 she was a Humboldt research fellow in the working group of Mathematics in Industry and Technology at the Technical University of Chemnitz, Germany. In 2009-2010, she worked in the Laboratory for Microsystem Simulation, Department of Microsystems Engineering, University of Freiburg, Germany. Her research interests are in the field of reduced order modelling and fast numerical algorithms for control and optimization in Chemical Engineering, MEMS simulation, and circuit simulation.

System-level modeling of MEMS - microelectromechanical systems - comprises integrated approaches to simulate, understand, and optimize the performance of sensors, actuators, and microsystems, taking into account the intricacies of the interplay between mechanical and electrical properties, circuitry, packaging, and design considerations.

PHYSICAL AND MATHEMATICAL FUNDAMENTALS FOR COMPACT MODELING OF MEMS System-Level Modeling of MEMS by Lumped-Elements - Physical Background System-Level Modeling of MEMS by Means of Model Order Reduction - Mathematical Background Modal Reduction - Mathematical Background Issues in MEMS Macromodeling APPLICATIONS OF MODEL REDUCTION BASED SYSTEM LEVEL MODELING OF MEMS Application of Parametric Model Reduction for MEMS System-Level Simulation and Design Application of Nonlinear Model Order Reduction for MEMS System-Level Simulation Model Order Reduction for Circuit Level Simulation of RF MEMS Frequency Selective Devices A Reduced-Order Model for Electrically Actuated Microplates Combination of Analytical Models and Order Reduction Methods for System Level Modeling of Gyroscopes APPLICATIONS OF LUMPED ELEMENT BASED SYSTEM LEVEL MODELING OF MEMS System-level Modeling of Energy-Harvesting modules Intertial MEMS Design with Higher Order Sigma-Delta Control Circuits Macro-Modeling of Systems Including Free-Space Optical MEMS A System-Level Model for a Silicon Thermal Flow Sensor System-Level Modeling and Simulation of Force-Balance MEMS Accelerometers System-Level Simulation of a Micromachined Electrometer using a Time-Domain Variable Capacitor Circuit Model Modeling and System-Level Simulation of a CMOS Convective Accelerometer System-Level Modeling of MEMS Based on SABER PlatformsVHDL Implementation of a communication interface for integrated MEMS Heterogenous (Optics, Fluidics) System-Level Design ENABLING TECHNIQUES FOR SYSTEM LEVEL MODELING OF MEMSManufacturable and EDA Compatible MEMS Design via 3D Parametric libraries MEMS Related Design Optimizing of SiP Efficient Optimization of Transient Dynamic Problems in MEMS Modeling and Synthesis Tools for Analog Circuit Design

System-level modeling of MEMS - microelectromechanical systems - comprises integrated approaches to simulate, understand, and optimize the performance of sensors, actuators, and microsystems, taking into account the intricacies of the interplay between mechanical and electrical properties, circuitry, packaging, and design considerations. Thereby, system-level modeling overcomes the limitations inherent to methods that focus only on one of these aspects and do not incorporate their mutual dependencies.The book addresses the two most important approaches of system-level modeling, namely physics-based modeling with lumped elements and mathematical modeling employing model order reduction methods, with an emphasis on combining single device models to entire systems. At a clearly understandable and sufficiently detailed level the readers are made familiar with the physical and mathematical underpinnings of MEMS modeling. This enables them to choose the adequate methods for the respective application needs.This work is an invaluable resource for all materials scientists, electrical engineers, scientists working in the semiconductor and/or sensorindustry, physicists, and physical chemists.