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16 册 图书

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16 篇 电子文献
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检索条件"丛书名=Intelligent Control and Learning Systems"

共 16 条记录，以下是1-10 订阅

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Variable Gain Design in Stochastic Iterative learning control 1

Variable Gain Design in Stochastic Iterative Learning Contro...

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丛书名： intelligent control and learning systems

1000年

作者： Dong Shen

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Strict-Feedback Nonlinear systems 1

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丛书名： intelligent control and learning systems

1000年

作者： Xianfu Zhang

ISBN: (数字)9789811983344

ISBN: (纸本)9789811983337;9789811983368

This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.

关键词： control and systems Theory systems Theory, control

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intelligent control of Nonlinear systems and Nonlinear Multi-Agent systems with Complex Constraints 1

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丛书名： intelligent control and learning systems

1000年

作者： Hongru Ren Qi Zhou Hui Ma Renquan Lu

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Discrete-Time Adaptive Iterative learning control 1

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丛书名： intelligent control and learning systems

1000年

作者： Ronghu Chi Na Lin Huimin Zhang Ruikun Zhang

ISBN: (数字)9789811904646

ISBN: (纸本)9789811904639;9789811904660

This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cutting-edge of ILC and can address random initial states, iteration-varying targets, and other non-repetitive uncertainties in practical applications. This book begins with the design and analysis of model-based DAILC methods by referencing the tools used in the discrete-time adaptive control theory. To overcome the extreme difficulties in modeling a complex system, the data-driven DAILC methods are further discussed by building a linear parametric data mapping between two consecutive iterations. Other significant improvements and extensions of the model-based/data-driven DAILC are also studied to facilitate broader applications. The readers can learn the recent progress on DAILC with consideration of various 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.

关键词： control and systems Theory Probability Theory and Stochastic Processes Computational Science and Engineering

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Advanced Optimal control and Applications Involving Critic Intelligence 1

引用

丛书名： intelligent control and learning systems

1000年

作者： Ding Wang Mingming Zhao Mingming Ha

ISBN: (数字)9789811972911

ISBN: (纸本)9789811972904;9789811972935

This book intends to report new optimal control results with critic intelligence for complex discrete-time systems, which covers the novel control theory, advanced control methods, and typical applications for wastewater treatment systems. Therein, combining with artificial intelligence techniques, such as neural networks and reinforcement learning, the novel intelligent critic control theory as well as a series of advanced optimal regulation and trajectory tracking strategies are established for discrete-time nonlinear systems, followed by application verifications to complex wastewater treatment processes. Consequently, developing such kind of critic intelligence approaches is of great significance for nonlinear optimization and wastewater recycling. The book is likely to be of interest to researchers and practitioners as well as graduate students in automation, computer science, and process industry who wish to learn core principles, methods, algorithms, and applications in the field of intelligent optimal control. It is beneficial to promote the development of intelligent optimal control approaches and the construction of high-level intelligent systems.

关键词： control, Robotics, Mechatronics Machine learning Robotics and Automation

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Complex-Valued Neural Networks systems with Time Delay 1

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丛书名： intelligent control and learning systems

1000年

作者： Ziye Zhang Zhen Wang Jian Chen Chong Lin

ISBN: (数字)9789811954504

ISBN: (纸本)9789811954498;9789811954528

This book provides up-to-date developments in the stability analysis and (anti-)synchronization control area for complex-valued neural networks systems with time delay. It brings out the characteristic systematism in them and points out further insight to solve relevant problems. It presents a comprehensive, up-to-date, and detailed treatment of dynamical behaviors including stability analysis and (anti-)synchronization control. The materials included in the book are mainly based on the recent research work carried on by the authors in this domain.;The book is a useful reference for all those from senior undergraduates, graduate students, to senior researchers interested in or working with control theory, applied mathematics, system analysis and integration, automation, nonlinear science, computer and other related fields, especially those relevant scientific and technical workers in the research of complex-valued neural network systems, dynamic systems, and intelligent control theory.

关键词： control and systems Theory Mathematical Models of Cognitive Processes and Neural Networks

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Data-Driven Iterative learning control for Discrete-Time systems 1

引用

丛书名： intelligent control and learning systems

1000年

作者： Ronghu Chi Yu Hui Zhongsheng Hou

ISBN: (数字)9789811959509

ISBN: (纸本)9789811959493;9789811959523

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.

关键词： control and systems Theory Probability Theory and Stochastic Processes Computational Science and Engineering

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Distributed Fault-Tolerant Consensus control of Leader-Following systems 1

引用

丛书名： intelligent control and learning systems

1000年

作者： Qikun Shen

ISBN: (数字)9789819974269

ISBN: (纸本)9789819974252;9789819974283

This book provides recent theoretical results and applications of the consensus control for nonlinear leader-following systems. Combining adaptive control technique, fuzzy logic systems, neural networks with the other control techniques or approaches, this book investigates the consensus control problem of leader-following systems and proposes the corresponding control scheme. This book intends to provide the readers a good understanding on consensus control based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear multi-agent systems including leader-following systems for researchers devoting to various areas of control theory, as well as a material for graduate and undergraduate students interested in nonlinear multi-agent systems including leader-following systems and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and soon.

关键词： control and systems Theory Computational Intelligence Signal, Image and Speech Processing Cyber-physical systems, IoT

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Fault Diagnosis and Fault-Tolerant control of Nonlinear systems with Higher System Input Powers 1

Fault Diagnosis and Fault-Tolerant Control of Nonlinear Syst...

引用

丛书名： intelligent control and learning systems

1000年

作者： Qikun Shen Dezhi Xu

ISBN: (数字)9789819617739

ISBN: (纸本)9789819617722;9789819617753

This book provides recent theoretical results and applications of the fault diagnosis and fault-tolerant control for the nonlinear systems with higher input powers. Combining adaptive control technique, fuzzy logic systems, neural networks, Observer-based methods with the other control technique or approaches, this book investigates the fault diagnosis and fault-tolerant control problem of the nonlinear systems with higher input powers and proposes the corresponding diagnostic mechanisms, Fault estimation algorithm and fault-tolerant control schemes. This book intends to provide the readers a good understanding on fault diagnosis and fault-tolerant control of the nonlinear systems with higher input powers based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear systems with higher input powers for researchers devoting to various areas of fault-tolerant control theory, as well as a material for graduate and undergraduate students interested in nonlinear system control, especially fault diagnosis and fault-tolerant control, and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and so on.

关键词： control and systems Theory Power Electronics, Electrical Machines and Networks Complex systems

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Distributed Impulsive Coordination of Multi-Agent systems 1

引用

丛书名： intelligent control and learning systems

1000年

作者： Zhengle Zhang Tiedong Ma Bing Cui

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