Tous les ebooks de la collection "Intelligent Control and Learning Systems" - Springer

11 Livre(s)
Télécharger le livre : Adaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms
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Adaptive Collaborative Control of Multiagent Systems by Event-Triggered Mechanisms
Collectif
This book provides a detailed study of several types of control problems in multi-agent systems, including consensus, output regulation, containment, and formation problems. The research on collaborative control of multi-agent systems has attracted engineers and...

Editeur : Springer
Parution : 2025-02-20
Collection : Intelligent Control and Learning Systems
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147,69 €
Télécharger le livre : Variable Gain Design in Stochastic Iterative Learning Control
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Variable Gain Design in Stochastic Iterative Learning Control
Dong Shen
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the...

Editeur : Springer
Parution : 2025-01-02
Collection : Intelligent Control and Learning Systems
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147,69 €
Télécharger le livre : Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems
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Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems
Xiaojie Su , Shaoxin Sun , Huaguang Zhang , Jinyu Zhu
This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with...

Editeur : Springer
Parution : 2023-05-15
Collection : Intelligent Control and Learning Systems
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158,24 €
Télécharger le livre : Predictive Learning Control for Unknown Nonaffine Nonlinear Systems
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Predictive Learning Control for Unknown Nonaffine Nonlinear Systems
Collectif
This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and...

Editeur : Springer
Parution : 2023-02-17
Collection : Intelligent Control and Learning Systems
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137,14 €
Télécharger le livre : Advanced Optimal Control and Applications Involving Critic Intelligence
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Advanced Optimal Control and Applications Involving Critic Intelligence
Mingming Ha , Ding Wang , Mingming Zhao
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...

Editeur : Springer
Parution : 2023-01-21
Collection : Intelligent Control and Learning Systems
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147,69 €
Télécharger le livre : Strict-Feedback Nonlinear Systems
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Strict-Feedback Nonlinear Systems
Xianfu Zhang
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...

Editeur : Springer
Parution : 2023-01-13
Collection : Intelligent Control and Learning Systems
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137,14 €
Télécharger le livre : Disagreement Behavior Analysis of Signed Networks
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Disagreement Behavior Analysis of Signed Networks
Mingjun Du , Deyuan Meng , Yuxin Wu
This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement...

Editeur : Springer
Parution : 2022-12-02
Collection : Intelligent Control and Learning Systems
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137,14 €
Télécharger le livre : Data-Driven Iterative Learning Control for Discrete-Time Systems
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Data-Driven Iterative Learning Control for Discrete-Time Systems
Ronghu Chi , Zhongsheng Hou , Yu Hui
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...

Editeur : Springer
Parution : 2022-11-15
Collection : Intelligent Control and Learning Systems
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158,24 €
Télécharger le livre : Complex-Valued Neural Networks Systems with Time Delay
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Complex-Valued Neural Networks Systems with Time Delay
Jian Chen , Chong Lin , Zhen Wang , Ziye Zhang
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...

Editeur : Springer
Parution : 2022-11-05
Collection : Intelligent Control and Learning Systems
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137,14 €
Télécharger le livre : Discrete-Time Adaptive Iterative Learning Control
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Discrete-Time Adaptive Iterative Learning Control
Ronghu Chi , Na Lin , Huimin Zhang , Ruikun Zhang
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...

Editeur : Springer
Parution : 2022-03-21
Collection : Intelligent Control and Learning Systems
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126,59 €
Télécharger le livre : Data-Driven Fault Detection and Reasoning for Industrial Monitoring
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Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Xiaolu Chen , Jing Wang , Jinglin Zhou
This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and...

Editeur : Springer
Parution : 2022-01-03
Collection : Intelligent Control and Learning Systems
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