Advantages Of Differential Dynamic Programming Over Newton Method For Discrete Time Optimal Control Problems
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Advantages Of Differential Dynamic Programming Over Newton Method For Discrete Time Optimal Control Problems
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Author : Li-zhi Liao
language : en
Publisher:
Release Date : 1992
Advantages Of Differential Dynamic Programming Over Newton Method For Discrete Time Optimal Control Problems written by Li-zhi Liao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Control theory categories.
A Parallel Method For Discrete Time Optimal Control Problems
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Author : Daniel Ralph
language : en
Publisher:
Release Date : 1993
A Parallel Method For Discrete Time Optimal Control Problems written by Daniel Ralph and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Discrete-time systems categories.
Some Efficient Algorithms For Unconstrained Discrete Time Optimal Control Problems
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Author : Aiping Liao
language : en
Publisher:
Release Date : 1993
Some Efficient Algorithms For Unconstrained Discrete Time Optimal Control Problems written by Aiping Liao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Control theory categories.
Informatics In Control Automation And Robotics I
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Author : José Braz
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-06
Informatics In Control Automation And Robotics I written by José Braz 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 2006-05-06 with Computers categories.
This is a collection of papers presented at the 1st International Conference on Informatics in Control, Automation and Robotics (ICINCO). The papers focus on real world applications, covering three main themes: Intelligent Control Systems, Optimization, Robotics and Automation, Signal Processing, Systems Modeling and Control. The book will interest professionals in the areas of control and robotics.
A Multi Objective Dynamic Programming Approach To Constrained Discrete Time Optimal Control
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Author :
language : en
Publisher:
Release Date : 1997
A Multi Objective Dynamic Programming Approach To Constrained Discrete Time Optimal Control written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
This work presents a multi-objective differential dynamic programming approach to constrained discrete-time optimal control. In the backward sweep of the dynamic programming in the quadratic sub problem, the sub problem input at a stage or time step is solved for in terms of the sub problem state entering that stage so as to minimize the summed immediate and future cost subject to minimizing the summed immediate and future constraint violations, for all such entering states. The method differs from previous dynamic programming methods, which used penalty methods, in that the constraints of the sub problem, which may include terminal constraints and path constraints, are solved exactly if they are solvable; otherwise, their total violation is minimized. Again, the resulting solution of the sub problem is an input history that minimizes the quadratic cost function subject to being a minimizer of the total constraint violation. The expected quadratic convergence of the proposed algorithm is demonstrated on a numerical example.
Adaptive Dynamic Programming For Control
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Author : Huaguang Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-14
Adaptive Dynamic Programming For Control written by Huaguang Zhang 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 2012-12-14 with Technology & Engineering categories.
There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: • infinite-horizon control for which the difficulty of solving partial differential Hamilton–Jacobi–Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; • finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; • nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: • establishes the fundamental theory involved clearly with each chapter devoted to a clearly identifiable control paradigm; • demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and • shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study.
Geometric And Numerical Foundations Of Movements
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Author : Jean-Paul Laumond
language : en
Publisher: Springer
Release Date : 2017-05-02
Geometric And Numerical Foundations Of Movements written by Jean-Paul Laumond and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-02 with Technology & Engineering categories.
This book aims at gathering roboticists, control theorists, neuroscientists, and mathematicians, in order to promote a multidisciplinary research on movement analysis. It follows the workshop “ Geometric and Numerical Foundations of Movements ” held at LAAS-CNRS in Toulouse in November 2015[1]. Its objective is to lay the foundations for a mutual understanding that is essential for synergetic development in motion research. In particular, the book promotes applications to robotics --and control in general-- of new optimization techniques based on recent results from real algebraic geometry.
Self Learning Optimal Control Of Nonlinear Systems
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Author : Qinglai Wei
language : en
Publisher: Springer
Release Date : 2017-06-13
Self Learning Optimal Control Of Nonlinear Systems written by Qinglai Wei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-13 with Technology & Engineering categories.
This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.
Informatics In Control Automation And Robotics Ii
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Author : Joaquim Filipe
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-02
Informatics In Control Automation And Robotics Ii written by Joaquim Filipe 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 2007-06-02 with Computers categories.
This book is a collection of the best papers presented at the 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO). ICINCO brought together researchers, engineers and practitioners interested in the application of informatics to Control, Automation and Robotics. The research papers focused on real world applications, covering three main themes: Intelligent Control Systems, Optimization, Robotics and Automation and Signal Processing, Systems Modeling and Control.
Solving Unconstrained Discrete Time Optimal Control Problems Using Trust Region Method
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Author : Aiping Liao
language : en
Publisher:
Release Date : 1995
Solving Unconstrained Discrete Time Optimal Control Problems Using Trust Region Method written by Aiping Liao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Control theory categories.