Synopsis
This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Sudath R. Munasinghe is a Professor of Control Systems and Robotics at the Department of Electronic and Telecommunication Engineering of the University of Moratuwa, Sri Lanka. He is also a visiting fellow at the Department of Global Development of the College of Agriculture and Life Sciences of Cornell University, USA. He teaches courses at undergraduate and graduate levels in the areas of control systems, robotics, unmanned aerial vehicles, and learning-based controls. His research spans several areas including vision-force sensor fusion, robot manipulator control, mobile robot self-navigation, aerial manipulation, non-invasive fetal monitoring, and elephant rumble detection using machine learning. Dr. Munasinghe was a 2021 Fulbright scholar.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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R. Munasinghe:Optimization and Optimal (eng)
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Optimization and Optimal Control in a Nutshell (Hardcover)
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Springer Verlag, Singapore, Singapore, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
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Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : new. Hardcover. This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin's maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly. This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9789819781669
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Optimization and Optimal Control in a Nutshell
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Springer, Berlin, Springer Nature Singapore, Springer, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin's maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly. 127 pp. Englisch. N° de réf. du vendeur 9789819781669
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Optimization and Optimal Control in a Nutshell
Edité par
Springer Verlag GmbH, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
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Optimization and Optimal Control in a Nutshell
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Buch. Etat : Neu. Optimization and Optimal Control in a Nutshell | Sudath Rohan Munasinghe | Buch | xvii | Englisch | 2024 | Springer | EAN 9789819781669 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 129969300
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Optimization and Optimal Control in a Nutshell
Edité par
Springer Nature Singapore, Springer Nature Singapore Nov 2024, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin's maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch. N° de réf. du vendeur 9789819781669
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Optimization and Optimal Control in a Nutshell
Edité par
Springer Nature Singapore, Springer Nature Singapore, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin's maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly. N° de réf. du vendeur 9789819781669
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Optimization and Optimal Control in a Nutshell
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Optimization and Optimal Control in a Nutshell (Hardcover)
Edité par
Springer Verlag, Singapore, Singapore, 2024
ISBN 10 : 9819781663
ISBN 13 : 9789819781669
Neuf
Couverture rigide
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Hardcover. Etat : new. Hardcover. This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. It starts with function optimization and constraint inclusion and then extends to functional optimization using the calculus of variations. The development of optimal controls for continuous-time, linear, open-loop systems is presented using Lagrangian and Pontryagin-Hamiltonian methods, showing how to introduce the end-point conditions in time and state. The closed-loop optimal control for linear systems with a quadratic cost function, well-known as the linear quadratic regulator (LQR) is developed for both time-bound and time-unbounded conditions. Some control systems need to maximize performance alongside cost minimization. The Pontryagin's maximum principle is presented in this regard with clear examples that show the practical implementation of it. It is shown through examples how the maximum principle leads to control switching and Bang-Bang control in certain types of systems. The application of optimal controls in discrete-time open-loop systems with the quadratic cost is presented and then extended to the closed-loop control, which results in the model predictive control (MPC). Throughout the book, examples and Matlab simulation codes are provided for the learner to practice the contents in each section. The aligned lineup of content helps the learner develop knowledge and skills in optimal control gradually and quickly. This book concisely presents the optimization process and optimal control process with examples and simulations to help self-learning and better comprehension. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9789819781669
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Optimization and Optimal Control in a Nutshell (Engineering Optimization: Methods and Applications)
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