Discrete Time Inverse Optimal Control For Nonlinear Systems

Author : Edgar N. Sanchez,Fernando Ornelas-Tellez
Publisher : CRC Press
Page : 268 pages
File Size : 40,7 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781466580886

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Discrete-Time Inverse Optimal Control for Nonlinear Systems by Edgar N. Sanchez,Fernando Ornelas-Tellez Pdf

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller. Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear Systems The book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Learn from Simulations and an In-Depth Case Study The authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels. The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.

Author : Edgar Sanchez,Fernando Ornelas-Tellez
Publisher : Unknown
Page : 268 pages
File Size : 47,8 Mb
Release : 2016
Category : Mathematics
ISBN : OCLC:1105790391

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Discrete-Time Inverse Optimal Control for Nonlinear Systems by Edgar Sanchez,Fernando Ornelas-Tellez Pdf

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller. Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear Systems The book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Learn from Simulations and an In-Depth Case Study The authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels. The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.

Author : Bosen Lian
Publisher : Springer Nature
Page : 278 pages
File Size : 52,8 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9783031452529

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Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games by Bosen Lian Pdf

Author : Esteban A. Hernandez-Vargas
Publisher : Academic Press
Page : 248 pages
File Size : 48,5 Mb
Release : 2022-04-21
Category : Science
ISBN : 9780323906654

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Feedback Control for Personalized Medicine by Esteban A. Hernandez-Vargas Pdf

Feedback Control for Personalized Medicine provides ideas on ongoing efforts and obstacles by members of the control engineering community in different biological and medical applications. In addition, the book presents key challenges, insights, tools and theoretical developments that arise from personalized medicine, along with medical concepts that are explained by engineers to help non-experts follow research topics. Several clinical trials have tried to find therapeutic approaches to achieve eradication or at least lifelong, therapy-free, host control of the infection. This has been performed integrating clinical observations, empirical knowledge and information from medical tests to treat patients. As this “trial and error approach is becoming more challenging and unfeasible by the steep increase in the number of different pieces of information and the complexity of large datasets, a systematic and tractable approach that integrates a variety of biological and medical research data into mathematical models and computational algorithms is crucial to harness knowledge and to develop new therapies towards personalized medicine. Presents the most recent research in personalized medicine using control theoretical tools Offers numerical simulations that are analyzed in detail and compared with control experiments Brings the most recent research of control theory in medicine

Author : Edgar N. Sanchez
Publisher : CRC Press
Page : 205 pages
File Size : 45,5 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781351377423

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Discrete-Time Recurrent Neural Control by Edgar N. Sanchez Pdf

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties. The book contains two sections: the first focuses on the analyses of control techniques; the second is dedicated to illustrating results of real-time applications. It also provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme. "This book on Discrete-time Recurrent Neural Control is unique in the literature, with new knowledge and information about the new technique of recurrent neural control especially for discrete-time systems. The book is well organized and clearly presented. It will be welcome by a wide range of researchers in science and engineering, especially graduate students and junior researchers who want to learn the new notion of recurrent neural control. I believe it will have a good market. It is an excellent book after all." — Guanrong Chen, City University of Hong Kong "This book includes very relevant topics, about neural control. In these days, Artificial Neural Networks have been recovering their relevance and well-stablished importance, this due to its great capacity to process big amounts of data. Artificial Neural Networks development always is related to technological advancements; therefore, it is not a surprise that now we are being witnesses of this new era in Artificial Neural Networks, however most of the developments in this research area only focuses on applicability of the proposed schemes. However, Edgar N. Sanchez author of this book does not lose focus and include both important applications as well as a deep theoretical analysis of Artificial Neural Networks to control discrete-time nonlinear systems. It is important to remark that first, the considered Artificial Neural Networks are development in discrete-time this simplify its implementation in real-time; secondly, the proposed applications ranging from modelling of unknown discrete-time on linear systems to control electrical machines with an emphasize to renewable energy systems. However, its applications are not limited to these kind of systems, due to their theoretical foundation it can be applicable to a large class of nonlinear systems. All of these is supported by the solid research done by the author." — Alma Y. Alanis, University of Guadalajara, Mexico "This book discusses in detail; how neural networks can be used for optimal as well as robust control design. Design of neural network controllers for real time applications such as induction motors, boost converters, inverted pendulum and doubly fed induction generators has also been carried out which gives the book an edge over other similar titles. This book will be an asset for the novice to the experienced ones." — Rajesh Joseph Abraham, Indian Institute of Space Science & Technology, Thiruvananthapuram, India

Author : Edgar N. Sanchez
Publisher : CRC Press
Page : 292 pages
File Size : 50,7 Mb
Release : 2018-09-03
Category : Technology & Engineering
ISBN : 9781351377430

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Discrete-Time Recurrent Neural Control by Edgar N. Sanchez Pdf

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The simulation results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, to establish its properties. The book contains two sections: the first focuses on the analyses of control techniques; the second is dedicated to illustrating results of real-time applications. It also provides solutions for the output trajectory tracking problem of unknown nonlinear systems based on sliding modes and inverse optimal control scheme. "This book on Discrete-time Recurrent Neural Control is unique in the literature, with new knowledge and information about the new technique of recurrent neural control especially for discrete-time systems. The book is well organized and clearly presented. It will be welcome by a wide range of researchers in science and engineering, especially graduate students and junior researchers who want to learn the new notion of recurrent neural control. I believe it will have a good market. It is an excellent book after all." — Guanrong Chen, City University of Hong Kong "This book includes very relevant topics, about neural control. In these days, Artificial Neural Networks have been recovering their relevance and well-stablished importance, this due to its great capacity to process big amounts of data. Artificial Neural Networks development always is related to technological advancements; therefore, it is not a surprise that now we are being witnesses of this new era in Artificial Neural Networks, however most of the developments in this research area only focuses on applicability of the proposed schemes. However, Edgar N. Sanchez author of this book does not lose focus and include both important applications as well as a deep theoretical analysis of Artificial Neural Networks to control discrete-time nonlinear systems. It is important to remark that first, the considered Artificial Neural Networks are development in discrete-time this simplify its implementation in real-time; secondly, the proposed applications ranging from modelling of unknown discrete-time on linear systems to control electrical machines with an emphasize to renewable energy systems. However, its applications are not limited to these kind of systems, due to their theoretical foundation it can be applicable to a large class of nonlinear systems. All of these is supported by the solid research done by the author." — Alma Y. Alanis, University of Guadalajara, Mexico "This book discusses in detail; how neural networks can be used for optimal as well as robust control design. Design of neural network controllers for real time applications such as induction motors, boost converters, inverted pendulum and doubly fed induction generators has also been carried out which gives the book an edge over other similar titles. This book will be an asset for the novice to the experienced ones." — Rajesh Joseph Abraham, Indian Institute of Space Science & Technology, Thiruvananthapuram, India

Author : Thomas L. Vincent,Walter J. Grantham
Publisher : John Wiley & Sons
Page : 584 pages
File Size : 50,5 Mb
Release : 1997-06-23
Category : Science
ISBN : 0471042358

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Nonlinear and Optimal Control Systems by Thomas L. Vincent,Walter J. Grantham Pdf

Designed for one-semester introductory senior-or graduate-level course, the authors provide the student with an introduction of analysis techniques used in the design of nonlinear and optimal feedback control systems. There is special emphasis on the fundamental topics of stability, controllability, and optimality, and on the corresponding geometry associated with these topics. Each chapter contains several examples and a variety of exercises.

Author : Timothy L. Molloy,Jairo Inga Charaja,Sören Hohmann,Tristan Perez
Publisher : Springer Nature
Page : 278 pages
File Size : 46,6 Mb
Release : 2022-02-18
Category : Mathematics
ISBN : 9783030933173

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Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory by Timothy L. Molloy,Jairo Inga Charaja,Sören Hohmann,Tristan Perez Pdf

This book presents a novel unified treatment of inverse problems in optimal control and noncooperative dynamic game theory. It provides readers with fundamental tools for the development of practical algorithms to solve inverse problems in control, robotics, biology, and economics. The treatment involves the application of Pontryagin's minimum principle to a variety of inverse problems and proposes algorithms founded on the elegance of dynamic optimization theory. There is a balanced emphasis between fundamental theoretical questions and practical matters. The text begins by providing an introduction and background to its topics. It then discusses discrete-time and continuous-time inverse optimal control. The focus moves on to differential and dynamic games and the book is completed by consideration of relevant applications. The algorithms and theoretical results developed in Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory provide new insights into information requirements for solving inverse problems, including the structure, quantity, and types of state and control data. These insights have significant practical consequences in the design of technologies seeking to exploit inverse techniques such as collaborative robots, driver-assistance technologies, and autonomous systems. The book will therefore be of interest to researchers, engineers, and postgraduate students in several disciplines within the area of control and robotics.

Author : Ahmad Taher Azar
Publisher : Academic Press
Page : 476 pages
File Size : 42,6 Mb
Release : 2020-01-22
Category : Computers
ISBN : 9780128174623

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Control Applications for Biomedical Engineering Systems by Ahmad Taher Azar Pdf

Control Applications for Biomedical Engineering Systems presents different control engineering and modeling applications in the biomedical field. It is intended for senior undergraduate or graduate students in both control engineering and biomedical engineering programs. For control engineering students, it presents the application of various techniques already learned in theoretical lectures in the biomedical arena. For biomedical engineering students, it presents solutions to various problems in the field using methods commonly used by control engineers. Points out theoretical and practical issues to biomedical control systems Brings together solutions developed under different settings with specific attention to the validation of these tools in biomedical settings using real-life datasets and experiments Presents significant case studies on devices and applications

Author : Zhang, Ming
Publisher : IGI Global
Page : 511 pages
File Size : 42,7 Mb
Release : 2016-05-05
Category : Computers
ISBN : 9781522500643

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Applied Artificial Higher Order Neural Networks for Control and Recognition by Zhang, Ming Pdf

In recent years, Higher Order Neural Networks (HONNs) have been widely adopted by researchers for applications in control signal generating, pattern recognition, nonlinear recognition, classification, and predition of control and recognition scenarios. Due to the fact that HONNs have been proven to be faster, more accurate, and easier to explain than traditional neural networks, their applications are limitless. Applied Artificial Higher Order Neural Networks for Control and Recognition explores the ways in which higher order neural networks are being integrated specifically for intelligent technology applications. Emphasizing emerging research, practice, and real-world implementation, this timely reference publication is an essential reference source for researchers, IT professionals, and graduate-level computer science and engineering students.

Author : Ramon Garcia-Hernandez,Michel Lopez-Franco,Edgar N. Sanchez,Alma y. Alanis,Jose A. Ruz-Hernandez
Publisher : Springer
Page : 111 pages
File Size : 41,6 Mb
Release : 2017-02-05
Category : Technology & Engineering
ISBN : 9783319533124

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Decentralized Neural Control: Application to Robotics by Ramon Garcia-Hernandez,Michel Lopez-Franco,Edgar N. Sanchez,Alma y. Alanis,Jose A. Ruz-Hernandez Pdf

This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors. This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF). The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold. The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network. The third control scheme applies a decentralized neural inverse optimal control for stabilization. The fourth decentralized neural inverse optimal control is designed for trajectory tracking. This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work.

Author : Michael J. Grimble,Paweł Majecki
Publisher : Springer Nature
Page : 778 pages
File Size : 40,9 Mb
Release : 2020-05-19
Category : Technology & Engineering
ISBN : 9781447174578

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Nonlinear Industrial Control Systems by Michael J. Grimble,Paweł Majecki Pdf

Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems. The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers: different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H∞ design methods; design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing; steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID. Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.

Author : Sio-Iong Ao,Haeng Kon Kim,Oscar Castillo,Alan Hoi-shou Chan,Hideki Katagiri
Publisher : Springer Nature
Page : 364 pages
File Size : 45,7 Mb
Release : 2019-10-10
Category : Technology & Engineering
ISBN : 9789813298088

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Transactions on Engineering Technologies by Sio-Iong Ao,Haeng Kon Kim,Oscar Castillo,Alan Hoi-shou Chan,Hideki Katagiri Pdf

This book contains revised and extended research articles written by prominent researchers, selected from presentations at the International MultiConference of Engineers and Computer Scientists (IMECS 2018) held in Hong Kong, 14-16 March, 2018. Topics covered include engineering physics, communications systems, control theory, automation, engineering mathematics, scientific computing, electrical engineering, and industrial applications. The book gives a snapshot of selected advances in engineering technologies and their applications, and will serve as a useful reference for researchers and graduate students in these fields.

Author : Magdi Mahmoud
Publisher : BoD – Books on Demand
Page : 260 pages
File Size : 55,9 Mb
Release : 2012-12-05
Category : Computers
ISBN : 9789535108757

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Advances in Discrete Time Systems by Magdi Mahmoud Pdf

This volume brings about the contemporary results in the field of discrete-time systems. It covers papers written on the topics of robust control, nonlinear systems and recent applications. Although the technical views are different, they all geared towards focusing on the up-to-date knowledge gain by the researchers and providing effective developments along the systems and control arena. Each topic has a detailed discussions and suggestions for future perusal by interested investigators.

Author : Daniel Tabak,Benjamin C. Kuo
Publisher : Prentice Hall
Page : 264 pages
File Size : 51,9 Mb
Release : 1971
Category : Mathematics
ISBN : STANFORD:36105030907963

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Optimal Control by Mathematical Programming by Daniel Tabak,Benjamin C. Kuo Pdf