<p><p><b>Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis</b></p> <p>Fully illustrated throughout, <i>Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems</i> proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults.</p> <p>Expanding on its theoretical deliberations, this book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms.</p> <p>This book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues in the study of flexible systems, along with modeling and control methods of three typical flexible systems. Other topics include:</p> <ul> <li>Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange's equation method, and Lyapunov's stability theorem</li> <li>Dynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraint</li> <li>Unknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed control</li> <li>Adaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD)</li> </ul> <p><i>Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems</i> is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.</p></p>

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems (IEEE Press Series on Control Systems Theory and Applications)

Science & Math

He, Wei

Gao, Hejia

Sun, Changyin

Astronomy & Space Science

Wiley-IEEE Press

Dynamics and Control of Mechanical Systems in Offshore Engineering is a comprehensive treatment of marine mechanical systems (MMS) involved in processes of great importance such as oil drilling and mineral recovery. Ranging from nonlinear dynamic modeling and stability analysis of flexible riser systems, through advanced control design for an installation system with a single rigid payload attached by thrusters, to robust adaptive control for mooring systems, it is an authoritative reference on the dynamics and control of MMS. Readers will gain not only a complete picture of MMS at the system level, but also a better understanding of the technical considerations involved and solutions to problems that commonly arise from dealing with them. The text provides:                                                                                                                                 ·         a complete framework of dynamical analysis and control design for marine mechanical systems;·         new results on the dynamical analysis of riser, mooring and installation systems together with a general modeling method for a class of MMS;·         a general method and strategy for realizing the control objectives of marine systems with guaranteed stability the effectiveness of which is illustrated by extensive numerical simulation; and ·         approximation-based control schemes using neural networks for installation of subsea structures with attached thrusters in the presence of time-varying environmental disturbances and parametric uncertainties.Most of the results presented are analytical with repeatable design algorithms with proven closed-loop stability and performance analysis of the proposed controllers is rigorous and detailed.Dynamics and Control of Mechanical Systems in Offshore Engineering is primarily intended for researchers and engineers in the system and control community, but graduate students studying control and marine engineering will also find it a useful resource as will practitioners working on the design, running or maintenance of offshore platforms.

Dynamics and Control of Mechanical Systems in Offshore Engineering (Advances in Industrial Control)

Ge, Shuzhi Sam

How, Bernard Voon Ee

Choo, Yoo-Sang

Physics

Springer

<p>This book covers nonlinear dynamic modeling and stability analysis of flexible riser systems, advanced control design for an installation system with a single rigid payload attached by thrusters, robust adaptive control for mooring systems and other topics.</p>

<p>This book presents theoretical explorations of several fundamental problems in the dynamics and control of flexible beam systems. By integrating fresh concepts and results to form a systematic approach to control, it establishes a basic theoretical framework. It includes typical control design examples verified using MATLAB simulation, which in turn illustrate the successful practical applications of active vibration control theory for flexible beam systems. The book is primarily intended for researchers and engineers in the control system and mechanical engineering community, offering them a unique resource.</p>

Active Vibration Control and Stability Analysis of Flexible Beam Systems

Liu, Jinkun

The book investigates fundamental issues in flexible manipulator systems, including distributed parameter modeling and boundary controller design. It presents theoretical explorations of several fundamental problems concerning the dynamics and control of these systems. By integrating fresh concepts and results to form a systematic approach to control, it also provides a basic theoretical framework.In turn, the book offers a comprehensive treatment of flexible manipulator systems, addressing topics ranging from related distributed parameter modeling and advanced boundary controller design for these systems with input constraint, to active control with output constraint.In brief, the book addresses dynamical analysis and control design for flexible manipulator systems. Though primarily intended for researchers and engineers in the control system and mechanical engineering community, it can also serve as supplemental reading on the modeling and control of flexible manipulator systems at the postgraduate level.

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

Computers & Technology

Computer Science

<p><div> <div>This book presents iterative learning control (ILC) to address practical issues of flexible structures. It is divided into four parts: Part I provides a general introduction to ILC and flexible structures, while Part II proposes various types of ILC for simple flexible structures to address issues such as vibration, input saturation, input dead-zone, input backlash, external disturbances, and trajectory tracking. It also includes simple partial differential equations to deal with the common problems of flexible structures. Part III discusses the design of ILC for flexible micro aerial vehicles and two-link manipulators, and lastly, Part IV offers a summary of the topics covered.</div> <div>&nbsp;</div> <div>Unlike most of the literature on ILC, which focuses on ordinary differential equation systems, this book explores distributed parameter systems, which are comparatively less stabilized through ILC.</div> <div>Including a comprehensive introduction to ILC of flexible structures, it also examines novel approaches used in ILC to address input constraints and disturbance rejection.</div> <div>&nbsp;</div> <div>This book is intended for researchers, graduate students and engineers in various fields, such as flexible structures, external disturbances, nonlinear inputs and tracking control.</div> </div> <div><br /></div></p>

Iterative Learning Control for Flexible Structures (Springer Tracts in Mechanical Engineering)

Meng, Tingting

See the best price to sell, buy, or rent books by He, Wei. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by He, Wei

See the best price to sell, buy, or rent books by He, Wei. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems (IEEE Press Series on Control Systems Theory and Applications)

Dynamics and Control of Mechanical Systems in Offshore Engineering (Advances in Industrial Control)

Dynamics and Control of Mechanical Systems in Offshore Engineering (Advances in Industrial Control)

Active Vibration Control and Stability Analysis of Flexible Beam Systems

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

Iterative Learning Control for Flexible Structures (Springer Tracts in Mechanical Engineering)