Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven, Chi Ronghu, Lin Na, Zhang Huimin

Автор: Pedro Albertos; Antonio Sala Piqueras
Название: Iterative Identification and Control
ISBN: 1447110986 ISBN-13(EAN): 9781447110989
Издательство: Springer
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Цена: 139750.00 T
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Описание: An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models. The authors of individual chapters are some of the most renowned and authoritative figures in the fields of system identification and control design.

Автор: Dong Shen
Название: Iterative Learning Control with Passive Incomplete Information
ISBN: 9811082669 ISBN-13(EAN): 9789811082665
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

Автор: Ulrich Keuchel; Richard M. Stephan
Название: Microcomputer-Based Adaptive Control Applied to Thyristor-Driven DC-Motors
ISBN: 1447120787 ISBN-13(EAN): 9781447120780
Издательство: Springer
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Цена: 81050.00 T
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Описание: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. New theory, new controllers, actuators, sensors, new industrial processes, computing methods, applications, philosophies, .

Автор: Wang Danwei, Ye Yongqiang, Zhang Bin
Название: Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation
ISBN: 9814585599 ISBN-13(EAN): 9789814585590
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book examines iterative learning control (ILC) with a focus on design and implementation. It presents a framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between performance and stability.

Автор: Wang Jinrong, Liu Shengda, Fečkan Michal
Название: Iterative Learning Control for Equations with Fractional Derivatives and Impulses
ISBN: 9811682437 ISBN-13(EAN): 9789811682438
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book introduces iterative learning control (ILC) and its applications to the new equations such as fractional order equations, impulsive equations, delay equations, and multi-agent systems, which have not been presented in other books on conventional fields.

Автор: Meng Tingting, He Wei
Название: Iterative Learning Control for Flexible Structures
ISBN: 9811527830 ISBN-13(EAN): 9789811527838
Издательство: Springer
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Цена: 93160.00 T
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Описание: Introduction.- Boundary Iterative Learning Control.- ILC for the Vibration Suppression in the Transverse Motion and Rotation.- ILC for the Nonlinearities of Differentiable and Non-Differentiable Inputs.- ILC for the Rejection of Time-Varying and Spatiotemporally Varying Disturbances.- Adaptive ILC for an Euler-Bernoulli Beam with Uncertainties.- ILC for Constant and Varying Trajectories Tracking.- ILC for a Flapping Wing Micro Aerial Vehicle.- ILC for a Flexible Two-Link Manipulator with PDE Model.- Conclusions.

Автор: Meng Tingting, He Wei
Название: Iterative Learning Control for Flexible Structures
ISBN: 9811527865 ISBN-13(EAN): 9789811527869
Издательство: Springer
Цена: 93160.00 T
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Описание: Introduction.- Boundary Iterative Learning Control.- ILC for the Vibration Suppression in the Transverse Motion and Rotation.- ILC for the Nonlinearities of Differentiable and Non-Differentiable Inputs.- ILC for the Rejection of Time-Varying and Spatiotemporally Varying Disturbances.- Adaptive ILC for an Euler-Bernoulli Beam with Uncertainties.- ILC for Constant and Varying Trajectories Tracking.- ILC for a Flapping Wing Micro Aerial Vehicle.- ILC for a Flexible Two-Link Manipulator with PDE Model.- Conclusions.

Автор: Limin Wang; Ridong Zhang; Furong Gao
Название: Iterative Learning Stabilization and Fault-Tolerant Control for Batch Processes
ISBN: 9811357897 ISBN-13(EAN): 9789811357893
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book is based on the authors` research on the stabilization and fault-tolerant control of batch processes, which are flourishing topics in the field of control system engineering.

Автор: Chris T. Freeman; Eric Rogers; Jane H. Burridge; A
Название: Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation
ISBN: 1447167252 ISBN-13(EAN): 9781447167259
Издательство: Springer
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Цена: 51230.00 T
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Описание: Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique – trajectory following in robots – can be extended to neurological rehabilitation after stroke. Regaining upper limb movement is an important step in a return to independence after stroke, but the prognosis for such recovery has remained poor. Rehabilitation robotics provides the opportunity for repetitive task-oriented movement practice reflecting the importance of such intense practice demonstrated by conventional therapeutic research and motor learning theory. Until now this technique has not allowed feedback from one practice repetition to influence the next, also implicated as an important factor in therapy. The authors demonstrate how ILC can be used to adjust external functional electrical stimulation of patients’ muscles while they are repeatedly performing a task in response to the known effects of stimulation in previous repetitions. As the motor nerves and muscles of the arm reaquire the ability to convert an intention to move into a motion of accurate trajectory, force and rapidity, initially intense external stimulation can now be scaled back progressively until the fullest possible independence of movement is achieved.

Автор: Zeungnam Bien; Jian-Xin Xu
Название: Iterative Learning Control
ISBN: 1461375754 ISBN-13(EAN): 9781461375753
Издательство: Springer
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Цена: 139750.00 T
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Описание: Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa- tion, such as tracking errors and control input signals, into the construction of the present control action.

Автор: Kevin L. Moore
Название: Iterative Learning Control for Deterministic Systems
ISBN: 1447119142 ISBN-13(EAN): 9781447119142
Издательство: Springer
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Цена: 87070.00 T
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Описание: The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem.

Автор: David H. Owens
Название: Iterative Learning Control
ISBN: 144716928X ISBN-13(EAN): 9781447169284
Издательство: Springer
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Цена: 113180.00 T
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Описание: Iterative Learning Control: Background and Review. Mathematical and Linear Modelling Methodologies.- Norm Optimal Iterative Learning Control: An Optimal Control Perspective.- Predicting the Effects of Non-minimum-phase Zeros.- Predictive Norm Optimal Iterative Learning Control.- Other Applications of Norm Optimal Iterative Learning Control.- Successive Projection Algorithms.- Parameter Optimal Iterative Learning Control.- Robustness of Parameter Optimal Iterative Learning Control.- Multi-parameter Optimal Iterative Learning Control.- No Normal 0 false false false EN-GB X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name: "Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow: yes; mso-style-priority:99; mso-style-parent: ""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination: widow-orphan; font-size:11.0pt; font-family: "Calibri","sans-serif"; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin; mso-fareast-language: EN-US;} nlinear Iterative Learning Control and Optimization.