Data Driven Iterative Learning Control for Discrete Time Systems

Data Driven Iterative Learning Control for Discrete Time Systems
Author: Ronghu Chi,Yu Hui,Zhongsheng Hou
Publsiher: Springer Nature
Total Pages: 239
Release: 2022-12-17
ISBN: 9811959501
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Data Driven Iterative Learning Control for Discrete Time Systems Book Excerpt:

This book belongs to the subject of control and systems theory. It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic linearization methods is discussed firstly to build a linear data mapping with respect of the system’s output and input between two consecutive iterations. On this basis, this work presents a series of data-driven ILC (DDILC) approaches with rigorous analysis. After that, this work also conducts significant extensions to the cases with incomplete data information, specified point tracking, higher order law, system constraint, nonrepetitive uncertainty, and event-triggered strategy to facilitate the real applications. The readers can learn the recent progress on DDILC for complex systems in practical applications. This book is intended for academic scholars, engineers, and graduate students who are interested in learning control, adaptive control, nonlinear systems, and related fields.

Iterative Learning Control for Multi agent Systems Coordination

Iterative Learning Control for Multi agent Systems Coordination
Author: Shiping Yang,Jian-Xin Xu,Xuefang Li,Dong Shen
Publsiher: John Wiley & Sons
Total Pages: 272
Release: 2017-03-03
ISBN: 1119189063
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Iterative Learning Control for Multi agent Systems Coordination Book Excerpt:

A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS) Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes Covers basic theory, rigorous mathematics as well as engineering practice

Iterative Learning Control for Systems with Iteration Varying Trial Lengths

Iterative Learning Control for Systems with Iteration Varying Trial Lengths
Author: Dong Shen,Xuefang Li
Publsiher: Springer
Total Pages: 256
Release: 2019-01-29
ISBN: 9811361363
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Iterative Learning Control for Systems with Iteration Varying Trial Lengths Book Excerpt:

This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.

Learning Control

Learning Control
Author: William Charles Messner
Publsiher: Unknown
Total Pages: 270
Release: 1992
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Learning Control Book Excerpt:

Intelligent Control Principles Techniques and Applications

Intelligent Control  Principles  Techniques and Applications
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2022
ISBN: 9814499323
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Intelligent Control Principles Techniques and Applications Book Excerpt:

Automation and Control

Automation and Control
Author: Constantin Volosencu,Serdar Küçük,José Guerrero,Oscar Valero
Publsiher: BoD – Books on Demand
Total Pages: 422
Release: 2021-04-21
ISBN: 1839627131
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Automation and Control Book Excerpt:

The book presents recent theoretical and practical information about the field of automation and control. It includes fifteen chapters that promote automation and control in practical applications in the following thematic areas: control theory, autonomous vehicles, mechatronics, digital image processing, electrical grids, artificial intelligence, and electric motor drives. The book also presents and discusses applications that improve the properties and performances of process control with examples and case studies obtained from real-world research in the field. Automation and Control is designed for specialists, engineers, professors, and students.

European Control Conference 1993

European Control Conference 1993
Author: Anonim
Publsiher: European Control Association
Total Pages: 612
Release: 1993-06-28
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

European Control Conference 1993 Book Excerpt:

Proceedings of the European Control Conference 1993, Groningen, Netherlands, June 28 – July 1, 1993

Bio Inspired Collaborative Intelligent Control and Optimization

Bio Inspired Collaborative Intelligent Control and Optimization
Author: Yongsheng Ding,Lei Chen,Kuangrong Hao
Publsiher: Springer
Total Pages: 474
Release: 2017-11-06
ISBN: 9811066892
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Bio Inspired Collaborative Intelligent Control and Optimization Book Excerpt:

This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.

Stability and Controls Analysis for Delay Systems

Stability and Controls Analysis for Delay Systems
Author: Jinrong Wang,Michal Feckan,Mengmeng Li
Publsiher: Elsevier
Total Pages: 332
Release: 2022-12-05
ISBN: 0323997937
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Stability and Controls Analysis for Delay Systems Book Excerpt:

Stability and Controls Analysis for Delay Systems is devoted to stability, controllability and iterative learning control (ILC) to delay systems, including first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from physics, biology, population dynamics, ecology and economics, currently not presented in other books on conventional fields. Delayed exponential matrix function approach is widely used to derive the representation and stability of the solutions and the controllability. ILC design are also established, which can be regarded as a way to find the control function. The broad variety of achieved results with rigorous proofs and many numerical examples make this book unique. Presents the representation and stability of solutions via the delayed exponential matrix function approach Gives useful sufficient conditions to guarantee controllability Establishes ILC design and focuses on new systems such as the first order system, oscillating systems, impulsive systems, fractional systems, difference systems and stochastic systems raised from various subjects

Advances in Control Systems

Advances in Control Systems
Author: C. T. Leondes
Publsiher: Elsevier
Total Pages: 336
Release: 2014-12-01
ISBN: 1483194639
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Control Systems Book Excerpt:

Advances in Control Systems: Theory and Applications, Volume 6 provides information pertinent to the significant progress in the field of control and systems theory and applications. This book presents the higher level of automata, which represent the embodiment of the application of artificial intelligence techniques to control system design and may be described as self-organizing systems. Organized into four chapters, this volume begins with an overview of the existing technology in learning control system. This text then demonstrates how to apply artificial intelligence techniques to the designs of off-line and on-line learning control systems. Other chapters consider the decomposition methods and the associated multilevel optimization techniques applicable to control system optimization problems. This book discusses as well the complex optimal system control problems applied to the trajectory optimization problem. The final chapter deals with systems described by partial differential equations. This book is a valuable resource for control system engineers.

Theory of Self Adaptive Control Systems

Theory of Self Adaptive Control Systems
Author: P. H. Hammond
Publsiher: Springer
Total Pages: 363
Release: 2013-11-11
ISBN: 1489962891
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Theory of Self Adaptive Control Systems Book Excerpt:

Intelligent Control Design and MATLAB Simulation

Intelligent Control Design and MATLAB Simulation
Author: Jinkun Liu
Publsiher: Springer
Total Pages: 290
Release: 2017-09-20
ISBN: 9811052638
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligent Control Design and MATLAB Simulation Book Excerpt:

This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.

Model Free Adaptive Control

Model Free Adaptive Control
Author: Zhongsheng Hou,Shangtai Jin
Publsiher: CRC Press
Total Pages: 375
Release: 2013-09-24
ISBN: 1466594195
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Model Free Adaptive Control Book Excerpt:

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants. This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design. The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.

Applied and Computational Control Signals and Circuits

Applied and Computational Control  Signals  and Circuits
Author: Biswa N. Datta
Publsiher: Springer Science & Business Media
Total Pages: 539
Release: 2012-12-06
ISBN: 1461205719
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Applied and Computational Control Signals and Circuits Book Excerpt:

The purpose of this annual series, Applied and Computational Control, Signals, and Circuits, is to keep abreast of the fast-paced developments in computational mathematics and scientific computing and their increasing use by researchers and engineers in control, signals, and circuits. The series is dedicated to fostering effective communication between mathematicians, computer scientists, computational scientists, software engineers, theorists, and practicing engineers. This interdisciplinary scope is meant to blend areas of mathematics (such as linear algebra, operator theory, and certain branches of analysis) and computational mathematics (numerical linear algebra, numerical differential equations, large scale and parallel matrix computations, numerical optimization) with control and systems theory, signal and image processing, and circuit analysis and design. The disciplines mentioned above have long enjoyed a natural synergy. There are distinguished journals in the fields of control and systems the ory, as well as signal processing and circuit theory, which publish high quality papers on mathematical and engineering aspects of these areas; however, articles on their computational and applications aspects appear only sporadically. At the same time, there has been tremendous recent growth and development of computational mathematics, scientific comput ing, and mathematical software, and the resulting sophisticated techniques are being gradually adapted by engineers, software designers, and other scientists to the needs of those applied disciplines.

Motion Control of Biomimetic Swimming Robots

Motion Control of Biomimetic Swimming Robots
Author: Junzhi Yu,Min Tan
Publsiher: Springer
Total Pages: 203
Release: 2019-06-19
ISBN: 9811387710
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Motion Control of Biomimetic Swimming Robots Book Excerpt:

This book reports on the latest advances in the study of motion control in biomimetic swimming robots with high speed and high manoeuvrability. It presents state-of-the-art studies on various swimming robots including robotic fish, dolphins and jellyfish in a unified framework, and discusses the potential benefits of applying biomimetic underwater propulsion to autonomous underwater vehicle design, such as: speed, energy economy, enhanced manoeuvrability, and reduced detectability. Given its scope, the book will be of interest to researchers, engineers and graduate students in robotics and ocean engineering who wish to learn about the core principles, methods, algorithms, and applications of biomimetic underwater robots.

Optimal Fractional order Predictive PI Controllers

Optimal Fractional order Predictive PI Controllers
Author: Arun Mozhi Devan Panneer Selvam,Fawnizu Azmadi Hussin,Rosdiazli Ibrahim,Kishore Bingi,Nagarajapandian M.
Publsiher: Springer Nature
Total Pages: 156
Release: 2022-11-01
ISBN: 981196517X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Optimal Fractional order Predictive PI Controllers Book Excerpt:

This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant. In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.

Intelligent Control of Robotic Systems

Intelligent Control of Robotic Systems
Author: D. Katic,M. Vukobratovic
Publsiher: Springer Science & Business Media
Total Pages: 296
Release: 2013-03-14
ISBN: 9401703175
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligent Control of Robotic Systems Book Excerpt:

As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Future robots are likely to have greater sensory capabilities, more intelligence, higher levels of manual dexter ity, and adequate mobility, compared to humans. In order to ensure high-quality control and performance in robotics, new intelligent control techniques must be developed, which are capable of coping with task complexity, multi-objective decision making, large volumes of perception data and substantial amounts of heuristic information. Hence, the pursuit of intelligent autonomous robotic systems has been a topic of much fascinating research in recent years. On the other hand, as emerging technologies, Soft Computing paradigms consisting of complementary elements of Fuzzy Logic, Neural Computing and Evolutionary Computation are viewed as the most promising methods towards intelligent robotic systems. Due to their strong learning and cognitive ability and good tolerance of uncertainty and imprecision, Soft Computing techniques have found wide application in the area of intelligent control of robotic systems.

Advances in Guidance Navigation and Control

Advances in Guidance  Navigation and Control
Author: Liang Yan,Haibin Duan,Xiang Yu
Publsiher: Springer Nature
Total Pages: 5608
Release: 2021-11-12
ISBN: 981158155X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Guidance Navigation and Control Book Excerpt:

This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Advanced Control Engineering Methods in Electrical Engineering Systems

Advanced Control Engineering Methods in Electrical Engineering Systems
Author: Mohammed Chadli,Sofiane Bououden,Salim Ziani,Ivan Zelinka
Publsiher: Springer
Total Pages: 576
Release: 2018-09-10
ISBN: 3319978160
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advanced Control Engineering Methods in Electrical Engineering Systems Book Excerpt:

This book presents the proceedings of the Third International Conference on Electrical Engineering and Control (ICEECA2017). It covers new control system models and troubleshooting tips, and also addresses complex system requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy controls theory taught in formal courses, and the efficient implementation required in real-world industry settings. Further, it considers both the engineering aspects of signal processing and the practical issues in the broad field of information transmission and novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.

Adaptive Control Systems

Adaptive Control Systems
Author: Chalam
Publsiher: Routledge
Total Pages: 391
Release: 2017-10-19
ISBN: 1351468979
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Adaptive Control Systems Book Excerpt:

impossible to access. It has been widely scattered in papers, reports, and proceedings ofsymposia, with different authors employing different symbols and terms. But now thereis a book that covers all aspects of this dynamic topic in a systematic manner.Featuring consistent terminology and compatible notation, and emphasizing unifiedstrategies, Adaptive Control Systems provides a comprehensive, integrated accountof basic concepts, analytical tools, algorithms, and a wide variety of application trendsand techniques.Adaptive Control Systems deals not only with the two principal approachesmodelreference adaptive control and self-tuning regulators-but also considers otheradaptive strategies involving variable structure systems, reduced order schemes, predictivecontrol, fuzzy logic, and more. In addition, it highlights a large number of practical applicationsin a range of fields from electrical to biomedical and aerospace engineering ...and includes coverage of industrial robots.The book identifies current trends in the development of adaptive control systems ...delineates areas for further research . : . and provides an invaluable bibliography of over1,200 references to the literature.The first authoritative reference in this important area of work, Adaptive ControlSystems is an essential information source for electrical and electronics, R&D,chemical, mechanical, aerospace, biomedical, metallurgical, marine, transportation, andpower plant engineers. It is also useful as a text in professional society seminars and inhousetraining programs for personnel involved with the control of complex systems, andfor graduate students engaged in the study of adaptive control systems.