Control Applications of Optimization 2000 (CAO 2000) PDF Download
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Author: Valeriĭ Nikolaevich Zakharov
Publisher: Pergamon
ISBN:
Category : Mathematics
Languages : en
Pages : 436
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Book Description
This Proceedings contains the papers presented at the 11th IFAC Workshop on Control Applications of Optimization held at Saint Petersburg State University, Saint Petersburg, Russia on 3-6 July 2000. It was the 11th IFAC workshop of the Control Applications of Optimization series. It explored current mathematical and engineering problems. The range of the topics discussed included (but was not restricted to): optimal control control design, control processed and stability, optimal damping and oscillation, games and stochastic control, estimation and identification, numerical methods, control applications, robust control, nonlinear systems.
Author: Valeriĭ Nikolaevich Zakharov
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Author: Valeriĭ Nikolaevich Zakharov
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 298
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Book Description
Author: Liqun Qi
Publisher: Springer Science & Business Media
ISBN: 9780387242545
Category : Mathematics
Languages : en
Pages : 618
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Book Description
This book contains refereed papers which were presented at the 34th Workshop of the International School of Mathematics "G. Stampacchia,” the International Workshop on Optimization and Control with Applications. The book contains 28 papers that are grouped according to four broad topics: duality and optimality conditions, optimization algorithms, optimal control, and variational inequality and equilibrium problems. The specific topics covered in the individual chapters include optimal control, unconstrained and constrained optimization, complementarity and variational inequalities, equilibrium problems, semi-definite programs, semi-infinite programs, matrix functions and equations, nonsmooth optimization, generalized convexity and generalized monotinicity, and their applications. Audience This book is suitable for researchers, practitioners, and postgraduate students in optimization, operations research, and optimal control.
Author: Valerij Nikolaevič Zacharov
Publisher:
ISBN:
Category :
Languages : en
Pages : 401
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Book Description
Author: Anders Hansson
Publisher: John Wiley & Sons
ISBN: 1119809134
Category : Technology & Engineering
Languages : en
Pages : 436
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Book Description
Optimization for Learning and Control Comprehensive resource providing a masters’ level introduction to optimization theory and algorithms for learning and control Optimization for Learning and Control describes how optimization is used in these domains, giving a thorough introduction to both unsupervised learning, supervised learning, and reinforcement learning, with an emphasis on optimization methods for large-scale learning and control problems. Several applications areas are also discussed, including signal processing, system identification, optimal control, and machine learning. Today, most of the material on the optimization aspects of deep learning that is accessible for students at a Masters’ level is focused on surface-level computer programming; deeper knowledge about the optimization methods and the trade-offs that are behind these methods is not provided. The objective of this book is to make this scattered knowledge, currently mainly available in publications in academic journals, accessible for Masters’ students in a coherent way. The focus is on basic algorithmic principles and trade-offs. Optimization for Learning and Control covers sample topics such as: Optimization theory and optimization methods, covering classes of optimization problems like least squares problems, quadratic problems, conic optimization problems and rank optimization. First-order methods, second-order methods, variable metric methods, and methods for nonlinear least squares problems. Stochastic optimization methods, augmented Lagrangian methods, interior-point methods, and conic optimization methods. Dynamic programming for solving optimal control problems and its generalization to reinforcement learning. How optimization theory is used to develop theory and tools of statistics and learning, e.g., the maximum likelihood method, expectation maximization, k-means clustering, and support vector machines. How calculus of variations is used in optimal control and for deriving the family of exponential distributions. Optimization for Learning and Control is an ideal resource on the subject for scientists and engineers learning about which optimization methods are useful for learning and control problems; the text will also appeal to industry professionals using machine learning for different practical applications.
Author: Xiao-qi Yang
Publisher: Springer
ISBN: 9781441948502
Category : Computers
Languages : en
Pages : 0
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Book Description
This edited book is dedicated to Professor N. U. Ahmed, a leading scholar and a renowned researcher in optimal control and optimization on the occasion of his retirement from the Department of Electrical Engineering at University of Ottawa in 1999. The contributions of this volume are in the areas of optimal control, non linear optimization and optimization applications. They are mainly the im proved and expanded versions of the papers selected from those presented in two special sessions of two international conferences. The first special session is Optimization Methods, which was organized by K. L. Teo and X. Q. Yang for the International Conference on Optimization and Variational Inequality, the City University of Hong Kong, Hong Kong, 1998. The other one is Optimal Control, which was organized byK. ~Teo and L. Caccetta for the Dynamic Control Congress, Ottawa, 1999. This volume is divided into three parts: Optimal Control; Optimization Methods; and Applications. The Optimal Control part is concerned with com putational methods, modeling and nonlinear systems. Three computational methods for solving optimal control problems are presented: (i) a regularization method for computing ill-conditioned optimal control problems, (ii) penalty function methods that appropriately handle final state equality constraints, and (iii) a multilevel optimization approach for the numerical solution of opti mal control problems. In the fourth paper, the worst-case optimal regulation involving linear time varying systems is formulated as a minimax optimal con trol problem.
Author: Honglei Xu
Publisher:
ISBN: 9783662434055
Category :
Languages : en
Pages : 280
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 481
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Book Description
Author: Boris S. Morduchovič
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: R. Bars
Publisher: Elsevier Science & Technology
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 290
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Book Description
A Proceedings volume from the IFAC Workshop on Control Applications of Optimisation, Visegrad, June-July 2003. Presents the findings of experts and practitioners in the field, provides an overview of the theory and applications, and documentation of the scientific activities of the workshop.
