Control and Optimization with Differential-Algebraic Constraints

Control and Optimization with Differential-Algebraic Constraints PDF Author: Lorenz T. Biegler
Publisher: SIAM
ISBN: 9781611972252
Category : Control theory
Languages : en
Pages : 355

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Book Description
Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. The following features are presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments; several state-of-the-art numerical methods; and real-world applications.

Control and Optimization with Differential-Algebraic Constraints

Control and Optimization with Differential-Algebraic Constraints PDF Author: Lorenz T. Biegler
Publisher: SIAM
ISBN: 9781611972252
Category : Control theory
Languages : en
Pages : 355

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Book Description
Differential-algebraic equations are the most natural way to mathematically model many complex systems in science and engineering. Once the model is derived, it is important to optimize the design parameters and control it in the most robust and efficient way to maximize performance. This book presents the latest theory and numerical methods for the optimal control of differential-algebraic equations. The following features are presented in a readable fashion so the results are accessible to the widest audience: the most recent theory, written by leading experts from a number of academic and nonacademic areas and departments; several state-of-the-art numerical methods; and real-world applications.

Numerical Methods for Optimal Control Problems with State Constraints

Numerical Methods for Optimal Control Problems with State Constraints PDF Author: Radoslaw Pytlak
Publisher: Springer
ISBN: 3540486623
Category : Science
Languages : en
Pages : 224

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Book Description
While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This book fills the gap by providing a family of new methods. Among others, a novel convergence analysis of optimal control algorithms is introduced. The analysis refers to the topology of relaxed controls only to a limited degree and makes little use of Lagrange multipliers corresponding to state constraints. This approach enables the author to provide global convergence analysis of first order and superlinearly convergent second order methods. Further, the implementation aspects of the methods developed in the book are presented and discussed. The results concerning ordinary differential equations are then extended to control problems described by differential-algebraic equations in a comprehensive way for the first time in the literature.

Control and Optimization with Differential-Algebraic Constraints

Control and Optimization with Differential-Algebraic Constraints PDF Author: Lorenz T. Biegler
Publisher: SIAM
ISBN: 1611972248
Category : Mathematics
Languages : en
Pages : 351

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Book Description
A cutting-edge guide to modelling complex systems with differential-algebraic equations, suitable for applied mathematicians, engineers and computational scientists.

Optimal Control of ODEs and DAEs

Optimal Control of ODEs and DAEs PDF Author: Matthias Gerdts
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110797933
Category : Technology & Engineering
Languages : en
Pages : 570

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Book Description


Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition

Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition PDF Author: John T. Betts
Publisher: SIAM
ISBN: 1611976197
Category : Mathematics
Languages : en
Pages : 748

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Book Description
How do you fly an airplane from one point to another as fast as possible? What is the best way to administer a vaccine to fight the harmful effects of disease? What is the most efficient way to produce a chemical substance? This book presents practical methods for solving real optimal control problems such as these. Practical Methods for Optimal Control Using Nonlinear Programming, Third Edition focuses on the direct transcription method for optimal control. It features a summary of relevant material in constrained optimization, including nonlinear programming; discretization techniques appropriate for ordinary differential equations and differential-algebraic equations; and several examples and descriptions of computational algorithm formulations that implement this discretize-then-optimize strategy. The third edition has been thoroughly updated and includes new material on implicit Runge–Kutta discretization techniques, new chapters on partial differential equations and delay equations, and more than 70 test problems and open source FORTRAN code for all of the problems. This book will be valuable for academic and industrial research and development in optimal control theory and applications. It is appropriate as a primary or supplementary text for advanced undergraduate and graduate students.

Practical Methods for Optimal Control and Estimation Using Nonlinear Programming

Practical Methods for Optimal Control and Estimation Using Nonlinear Programming PDF Author: John T. Betts
Publisher: SIAM
ISBN: 0898718570
Category : Mathematics
Languages : en
Pages : 443

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Book Description
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.

Applications of Differential-Algebraic Equations: Examples and Benchmarks

Applications of Differential-Algebraic Equations: Examples and Benchmarks PDF Author: Stephen Campbell
Publisher: Springer
ISBN: 3030037185
Category : Mathematics
Languages : en
Pages : 320

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Book Description
This volume encompasses prototypical, innovative and emerging examples and benchmarks of Differential-Algebraic Equations (DAEs) and their applications, such as electrical networks, chemical reactors, multibody systems, and multiphysics models, to name but a few. Each article begins with an exposition of modelling, explaining whether the model is prototypical and for which applications it is used. This is followed by a mathematical analysis, and if appropriate, a discussion of the numerical aspects including simulation. Additionally, benchmark examples are included throughout the text. Mathematicians, engineers, and other scientists, working in both academia and industry either on differential-algebraic equations and systems or on problems where the tools and insight provided by differential-algebraic equations could be useful, would find this book resourceful.

Surveys in Differential-Algebraic Equations III

Surveys in Differential-Algebraic Equations III PDF Author: Achim Ilchmann
Publisher: Springer
ISBN: 331922428X
Category : Mathematics
Languages : en
Pages : 313

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Book Description
The present volume comprises survey articles on various fields of Differential-Algebraic Equations (DAEs), which have widespread applications in controlled dynamical systems, especially in mechanical and electrical engineering and a strong relation to (ordinary) differential equations. The individual chapters provide reviews, presentations of the current state of research and new concepts in - Flexibility of DAE formulations - Reachability analysis and deterministic global optimization - Numerical linear algebra methods - Boundary value problems The results are presented in an accessible style, making this book suitable not only for active researchers but also for graduate students (with a good knowledge of the basic principles of DAEs) for self-study.

Control and Optimization with PDE Constraints

Control and Optimization with PDE Constraints PDF Author: Kristian Bredies
Publisher: Birkhäuser
ISBN: 9783034806329
Category : Mathematics
Languages : en
Pages : 215

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Book Description
Many mathematical models of physical, biological and social systems involve partial differential equations (PDEs). The desire to understand and influence these systems naturally leads to considering problems of control and optimization. This book presents important topics in the areas of control of PDEs and of PDE-constrained optimization, covering the full spectrum from analysis to numerical realization and applications. Leading scientists address current topics such as non-smooth optimization, Hamilton–Jacobi–Bellmann equations, issues in optimization and control of stochastic partial differential equations, reduced-order models and domain decomposition, discretization error estimates for optimal control problems, and control of quantum-dynamical systems. These contributions originate from the “International Workshop on Control and Optimization of PDEs” in Mariatrost in October 2011. This book is an excellent resource for students and researchers in control or optimization of differential equations. Readers interested in theory or in numerical algorithms will find this book equally useful.

Modeling, Control and Optimization of Complex Systems

Modeling, Control and Optimization of Complex Systems PDF Author: Weibo Gong
Publisher: Springer Science & Business Media
ISBN: 1461511399
Category : Science
Languages : en
Pages : 312

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Book Description
Modeling, Control And Optimization Of Complex Systems is a collection of contributions from leading international researchers in the fields of dynamic systems, control theory, and modeling. These papers were presented at the Symposium on Modeling and Optimization of Complex Systems in honor of Larry Yu-Chi Ho in June 2001. They include exciting research topics such as: -modeling of complex systems, -power control in ad hoc wireless networks, -adaptive control using multiple models, -constrained control, -linear quadratic control, -discrete events, -Markov decision processes and reinforcement learning, -optimal control for discrete event and hybrid systems, -optimal representation and visualization of multivariate data and functions in low-dimensional spaces.