Modeling, Control and Implementation of Smart Structures PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modeling, Control and Implementation of Smart Structures PDF full book. Access full book title Modeling, Control and Implementation of Smart Structures by B. Bandyopadhyay. Download full books in PDF and EPUB format.
Author: B. Bandyopadhyay Publisher: Springer ISBN: 3540483942 Category : Technology & Engineering Languages : en Pages : 282
Book Description
This book presents an overview over smart structures - its concepts, its active involvement in the vibration control, their applications and the extensive research work done.
Author: B. Bandyopadhyay Publisher: Springer ISBN: 3540483942 Category : Technology & Engineering Languages : en Pages : 282
Book Description
This book presents an overview over smart structures - its concepts, its active involvement in the vibration control, their applications and the extensive research work done.
Author: B. Bandyopadhyay Publisher: Springer ISBN: 9783540483939 Category : Technology & Engineering Languages : en Pages : 258
Book Description
This book presents an overview over smart structures - its concepts, its active involvement in the vibration control, their applications and the extensive research work done.
Author: Franklin Y. Cheng Publisher: CRC Press ISBN: 142000817X Category : Technology & Engineering Languages : en Pages : 672
Book Description
An innovative concept, smart structural systems have proven to be extremely effective in absorbing damaging energy and/or counteracting potentially devastating force, thus limiting structural collapse and subsequent injury. As this technology rapidly evolves, there is an ever-increasing need for an authoritative reference that will allow those in t
Author: Gergely Takács Publisher: Springer Science & Business Media ISBN: 1447123328 Category : Technology & Engineering Languages : en Pages : 535
Book Description
Real-time model predictive controller (MPC) implementation in active vibration control (AVC) is often rendered difficult by fast sampling speeds and extensive actuator-deformation asymmetry. If the control of lightly damped mechanical structures is assumed, the region of attraction containing the set of allowable initial conditions requires a large prediction horizon, making the already computationally demanding on-line process even more complex. Model Predictive Vibration Control provides insight into the predictive control of lightly damped vibrating structures by exploring computationally efficient algorithms which are capable of low frequency vibration control with guaranteed stability and constraint feasibility. In addition to a theoretical primer on active vibration damping and model predictive control, Model Predictive Vibration Control provides a guide through the necessary steps in understanding the founding ideas of predictive control applied in AVC such as: · the implementation of computationally efficient algorithms · control strategies in simulation and experiment and · typical hardware requirements for piezoceramics actuated smart structures. The use of a simple laboratory model and inclusion of over 170 illustrations provides readers with clear and methodical explanations, making Model Predictive Vibration Control the ideal support material for graduates, researchers and industrial practitioners with an interest in efficient predictive control to be utilized in active vibration attenuation.
Author: Haim Abramovich Publisher: Walter de Gruyter GmbH & Co KG ISBN: 311072670X Category : Science Languages : en Pages : 494
Book Description
This new edition of our 2016 book provides insight into designing intelligent materials and structures for special application in engineering. Literature is updated throughout and a new chapter on optics fibers has been added. The book discusses simulation and experimental determination of physical material properties, such as piezoelectric effects, shape memory, electro-rheology, and distributed control for vibrations minimization.
Author: Patricia Mellodge Publisher: Springer ISBN: 3540707999 Category : Technology & Engineering Languages : en Pages : 126
Book Description
The subject of this book is model abstraction of dynamical systems. The p- mary goal of the work embodied in this book is to design a controller for the mobile robotic car using abstraction. Abstraction provides a means to rep- sent the dynamics of a system using a simpler model while retaining important characteristics of the original system. A second goal of this work is to study the propagation of uncertain initial conditions in the framework of abstraction. The summation of this work is presented in this book. It includes the following: • An overview of the history and current research in mobile robotic control design. • A mathematical review that provides the tools used in this research area. • The development of the robotic car model and both controllers used in the new control design. • A review of abstraction and an extension of these ideas into new system relationship characterizations called traceability and -traceability. • A framework for designing controllers based on abstraction. • An open-loop control design with simulation results. • An investigation of system abstraction with uncertain initial conditions.
Author: Inderjit Chopra Publisher: Cambridge University Press ISBN: 052186657X Category : Science Languages : en Pages : 925
Book Description
This book focuses on smart materials and structures, which are also referred to as intelligent, adaptive, active, sensory, and metamorphic. The ultimate goal is to develop biologically inspired multifunctional materials with the capability to adapt their structural characteristics, monitor their health condition, perform self-diagnosis and self-repair, morph their shape, and undergo significant controlled motion.
Author: Lalo Magni Publisher: Springer ISBN: 3642010946 Category : Technology & Engineering Languages : en Pages : 562
Book Description
Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI Journals. With this book we want to bring together the contributions of a diverse group of internationally well recognized researchers and industrial practitioners, to critically assess the current status of the NMPC field and to discuss future directions and needs. The book consists of selected papers presented at the International Workshop on Assessment an Future Directions of Nonlinear Model Predictive Control that took place from September 5 to 9, 2008, in Pavia, Italy.
Author: Biao Huang Publisher: Springer Science & Business Media ISBN: 1848002327 Category : Technology & Engineering Languages : en Pages : 249
Book Description
A typical design procedure for model predictive control or control performance monitoring consists of: 1. identification of a parametric or nonparametric model; 2. derivation of the output predictor from the model; 3. design of the control law or calculation of performance indices according to the predictor. Both design problems need an explicit model form and both require this three-step design procedure. Can this design procedure be simplified? Can an explicit model be avoided? With these questions in mind, the authors eliminate the first and second step of the above design procedure, a “data-driven” approach in the sense that no traditional parametric models are used; hence, the intermediate subspace matrices, which are obtained from the process data and otherwise identified as a first step in the subspace identification methods, are used directly for the designs. Without using an explicit model, the design procedure is simplified and the modelling error caused by parameterization is eliminated.
Author: Rolf Findeisen Publisher: Springer ISBN: 3540726993 Category : Technology & Engineering Languages : en Pages : 644
Book Description
Thepastthree decadeshaveseenrapiddevelopmentin the areaofmodelpred- tive control with respect to both theoretical and application aspects. Over these 30 years, model predictive control for linear systems has been widely applied, especially in the area of process control. However, today’s applications often require driving the process over a wide region and close to the boundaries of - erability, while satisfying constraints and achieving near-optimal performance. Consequently, the application of linear control methods does not always lead to satisfactory performance, and here nonlinear methods must be employed. This is one of the reasons why nonlinear model predictive control (NMPC) has - joyed signi?cant attention over the past years,with a number of recent advances on both the theoretical and application frontier. Additionally, the widespread availability and steadily increasing power of today’s computers, as well as the development of specially tailored numerical solution methods for NMPC, bring thepracticalapplicabilityofNMPCwithinreachevenforveryfastsystems.This has led to a series of new, exciting developments, along with new challenges in the area of NMPC.
Author: B. Bandyopadhyay
Author: B. Bandyopadhyay
Author: B. Bandyopadhyay
Author: Franklin Y. Cheng
Author: Gergely Takács
Author: Haim Abramovich
Author: Patricia Mellodge
Author: Inderjit Chopra
Author: Lalo Magni
Author: Biao Huang
Author: Rolf Findeisen