Titlebook: Iterative Learning Control for Network Systems Under Constrained Information Communication; Wenjun Xiong,Zijian Luo,Daniel W. C. Ho Book 2

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书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication影响因子(影响力)




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication影响因子(影响力)学科排名




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication网络公开度




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication网络公开度学科排名




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication被引频次




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication被引频次学科排名




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书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication年度引用学科排名




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication读者反馈




书目名称Iterative Learning Control for Network Systems Under Constrained Information Communication读者反馈学科排名

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2662-5458 ion constraints and use ILC techniques to achieve system staThis book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative le

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Consensus Under Switching Topology and Observer Information, Lyapunov approach and linear matrix inequality (He et al. .; Hosseini et al. .). In real applications, it is only sometimes effective for control techniques mentioned in the above literatures when the systems require high precision in a finite time.

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Book 2024d systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, consistency, and security of networked systems. The field of networked systems has garnered significant interest from scientists and engineers across vari

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Consensus Under Limited Information Communication, digital network is a complex circuit network composed of large assemblies of logic gates. Digital networks are more useful than analog circuit networks because they make it easier for an electronic device to switch to one of several known states rather than precisely reproducing a continuous range of values.

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LIMIT

Introduction,is a powerful methodology that aims to improve the performance of dynamic systems by learning from repetition and refining control actions. This technique has applications in various fields, ranging from industrial automation to robotics (Bristow et al. .; Li et al. .; Riaz et al. .), allowing syste

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Consensus Under Event-Triggered Transmission and Quantization,revious executions (trials, iterations, passes). This control strategy can tackle dynamic systems with a high level of uncertainty in a simple way. As a result, ILC has been widely applied to industrial robots (Arimoto et al. .), chemical reactors (Mezghani et al. .), input saturation (Tan et al. .;

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Consensus Under Switching Topology and Observer Information,orks (Huang et al. .), and so on. However, running a large piece of equipment with a network structure is expensive, so multi-agent systems are used as a replacement for costly systems. The fundamental function of multi-agent systems is to solve complex practical problems effectively, which is beyon