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Constrained Control And Estimation


Constrained Control And Estimation
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Constrained Control And Estimation


Constrained Control And Estimation
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Author : Graham Goodwin
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30

Constrained Control And Estimation written by Graham Goodwin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Technology & Engineering categories.


Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control. - Using the principal tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on model predictive control. - New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design will give you a full understanding of the subject.



Constrained Control And Estimation


Constrained Control And Estimation
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Author : Jos A De Don
language : en
Publisher:
Release Date : 2005-01-01

Constrained Control And Estimation written by Jos A De Don and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-01 with categories.


Recent developments in constrained control and estimation have created a need for this comprehensive introduction to the underlying fundamental principles. These advances have significantly broadened the realm of application of constrained control.- Using principle tools of prediction and optimisation, examples of how to deal with constraints are given, placing emphasis on Model Predictive Control.- New results combine a number of methods in a unique way, enabling you to build on your background in estimation theory, linear control, stability theory and state space methods. - Companion web site, continually updated by the authors. Easy to read and at the same time containing a high level of technical detail, this self-contained, new approach to methods for constrained control in design you will gain a full understanding of the subject.



Data Rate Constrained State Estimation And Control Of Complex Networked Systems


Data Rate Constrained State Estimation And Control Of Complex Networked Systems
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Author : Licheng Wang
language : en
Publisher: CRC Press
Release Date : 2024-11-29

Data Rate Constrained State Estimation And Control Of Complex Networked Systems written by Licheng Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Technology & Engineering categories.


This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms. It describes framework of state estimator and controller design, stability and performance analysis for data-rate constrained complex systems with various kinds of encoding-decoding schemes and so forth. Simulations given in this book are constructed by applying MATLAB® software package. Features: Gives a systematic investigation of the control and state estimation for complex networked systems subject to the data rate constraint. Develops control/filtering algorithms in a unified framework. Includes comparisons for different coding-decoding techniques proposed. Discusses theoretical value and practical application for the resource-constrained communication environment. Provides performance analysis as well as the parameterizations of filters and FD units. This book is aimed at researchers and graduate students in electrical engineering, signal processing, control systems and complex networks.



Practical Methods For Optimal Control And Estimation Using Nonlinear Programming


Practical Methods For Optimal Control And Estimation Using Nonlinear Programming
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Author : John T. Betts
language : en
Publisher: SIAM
Release Date : 2010-01-01

Practical Methods For Optimal Control And Estimation Using Nonlinear Programming written by John T. Betts and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Mathematics categories.


The book describes how sparse optimization methods can be combined with discretization techniques for differential-algebraic equations and used to solve optimal control and estimation problems. The interaction between optimization and integration is emphasized throughout the book.



Real Time Pde Constrained Optimization


Real Time Pde Constrained Optimization
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Author : Lorenz T. Biegler
language : en
Publisher: SIAM
Release Date : 2007-01-01

Real Time Pde Constrained Optimization written by Lorenz T. Biegler and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Mathematics categories.


Many engineering and scientific problems in design, control, and parameter estimation can be formulated as optimization problems that are governed by partial differential equations (PDEs). The complexities of the PDEs--and the requirement for rapid solution--pose significant difficulties. A particularly challenging class of PDE-constrained optimization problems is characterized by the need for real-time solution, i.e., in time scales that are sufficiently rapid to support simulation-based decision making. Real-Time PDE-Constrained Optimization, the first book devoted to real-time optimization for systems governed by PDEs, focuses on new formulations, methods, and algorithms needed to facilitate real-time, PDE-constrained optimization. In addition to presenting state-of-the-art algorithms and formulations, the text illustrates these algorithms with a diverse set of applications that includes problems in the areas of aerodynamics, biology, fluid dynamics, medicine, chemical processes, homeland security, and structural dynamics. Audience: readers who have expertise in simulation and are interested in incorporating optimization into their simulations, who have expertise in numerical optimization and are interested in adapting optimization methods to the class of infinite-dimensional simulation problems, or who have worked in "offline" optimization contexts and are interested in moving to "online" optimization.



Recent Advances In Control And Filtering Of Dynamic Systems With Constrained Signals


Recent Advances In Control And Filtering Of Dynamic Systems With Constrained Signals
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Author : Ju H. Park
language : en
Publisher: Springer
Release Date : 2018-08-09

Recent Advances In Control And Filtering Of Dynamic Systems With Constrained Signals written by Ju H. Park and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-09 with Technology & Engineering categories.


This book introduces the principle theories and applications of control and filtering problems to address emerging hot topics in feedback systems. With the development of IT technology at the core of the 4th industrial revolution, dynamic systems are becoming more sophisticated, networked, and advanced to achieve even better performance. However, this evolutionary advance in dynamic systems also leads to unavoidable constraints. In particular, such elements in control systems involve uncertainties, communication/transmission delays, external noise, sensor faults and failures, data packet dropouts, sampling and quantization errors, and switching phenomena, which have serious effects on the system’s stability and performance. This book discusses how to deal with such constraints to guarantee the system’s design objectives, focusing on real-world dynamical systems such as Markovian jump systems, networked control systems, neural networks, and complex networks, which have recently excited considerable attention. It also provides a number of practical examples to show the applicability of the presented methods and techniques. This book is of interest to graduate students, researchers and professors, as well as R&D engineers involved in control theory and applications looking to analyze dynamical systems with constraints and to synthesize various types of corresponding controllers and filters for optimal performance of feedback systems.



Model Predictive Control For Constrained Nonlinear Systems


Model Predictive Control For Constrained Nonlinear Systems
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Author : Simone Loureiro de Oliveira
language : en
Publisher: vdf Hochschulverlag AG
Release Date : 1996

Model Predictive Control For Constrained Nonlinear Systems written by Simone Loureiro de Oliveira and has been published by vdf Hochschulverlag AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.




Technology For Large Space Systems


Technology For Large Space Systems
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Author :
language : en
Publisher:
Release Date : 1986

Technology For Large Space Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Large space structures (Astronautics) categories.




Dynamic Programming For Impulse Feedback And Fast Controls


Dynamic Programming For Impulse Feedback And Fast Controls
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Author : Alexander B. Kurzhanski
language : en
Publisher: Springer
Release Date : 2019-03-29

Dynamic Programming For Impulse Feedback And Fast Controls written by Alexander B. Kurzhanski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-29 with Technology & Engineering categories.


Dynamic Programming for Impulse Feedback and Fast Controls offers a description of feedback control in the class of impulsive inputs. This book deals with the problem of closed-loop impulse control based on generalization of dynamic programming techniques in the form of variational inequalities of the Hamilton–Jacobi–Bellman type. It provides exercises and examples in relation to software, such as techniques for regularization of ill-posed problems. It also gives an introduction to applications such as hybrid dynamics, control in arbitrary small time, and discontinuous trajectories. This book walks the readers through: the design and description of feedback solutions for impulse controls; the explanation of impulses of higher order that are derivatives of delta functions; the description of their physically realizable approximations - the fast controls and their approximations; the treatment of uncertaintyin impulse control and the applications of impulse feedback. Of interest to both academics and graduate students in the field of control theory and applications, the book also protects users from common errors , such as inappropriate solution attempts, by indicating Hamiltonian techniques for hybrid systems with resets.



Adaptive Control Of Nonsmooth Dynamic Systems


Adaptive Control Of Nonsmooth Dynamic Systems
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Author : Gang Tao
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17

Adaptive Control Of Nonsmooth Dynamic Systems written by Gang Tao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.


A complete reference to adaptive control of systems with nonsmooth industrial nonlinearities such as: backlash; dead-zones; component failure; friction; hysteresis; saturation; and time delays. Actuator nonlinearities are ubiquitous in engineering practice and limit control system performance. While standard feedback control alone cannot handle these nonsmooth nonlinearities effectively, this book shows how such nonlinear characteristics can be compensated for by using adaptive and intelligent control techniques. This allows desired system performance to be achieved in the presence of uncertain nonlinearities. With surveys of literature and summaries of various design methods, the contributors present new solutions to some important issues in adaptive control of systems with various sorts of nonsmooth nonlinearities. The book motivates more research activities in the field of adaptive control of nonsmooth nonlinear industrial systems by formulating several challenging open problems in related areas.