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Titlebook: Automatic Control, Robotics, and Information Processing; Piotr Kulczycki,Józef Korbicz,Janusz Kacprzyk Book 2021 The Editor(s) (if applica

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发表于 2025-3-21 18:08:10 | 显示全部楼层 |阅读模式
期刊全称Automatic Control, Robotics, and Information Processing
影响因子2023Piotr Kulczycki,Józef Korbicz,Janusz Kacprzyk
视频video
发行地址Develops more effective and efficient tools and techniques for dealing with complex processes and systems.Presents a wide and comprehensive range of issues and problems in Automatic Control, Robotics,
学科分类Studies in Systems, Decision and Control
图书封面Titlebook: Automatic Control, Robotics, and Information Processing;  Piotr Kulczycki,Józef Korbicz,Janusz Kacprzyk Book 2021 The Editor(s) (if applica
影响因子This book presents a wide and comprehensive range of issues and problems in various fields of science and engineering, from both theoretical and applied perspectives. The desire to develop more effective and efficient tools and techniques for dealing with complex processes and systems has been a natural inspiration for the emergence of numerous fields of science and technology, in particular control and automation and, more recently, robotics. The contributions gathered here concern the development of methods and algorithms to determine best practices regarding broadly perceived decisions or controls. From an engineering standpoint, many of them focus on how to automate a specific process or complex system. From a tools-based perspective, several contributions address the development of analytic and algorithmic methods and techniques, devices and systems that make it possible to develop and subsequently implement the automation and robotization of crucial areas of human activity. All topics discussed are illustrated with sample applications.
Pindex Book 2021
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Output Observers for Linear Infinite-Dimensional Control Systemsh, the plant and the observer are described by state space models with linear, unbounded system operators, generating strongly continuous semigroups. The plant has two inputs and two outputs. One input is for control, available to the observer, and the other for disturbance. In turn, one output is f
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Fractional Order Models of Dynamic Systemsems with these types of dynamics. Their internal structure and energy storage method were thoroughly analyzed. The diffusion process used in their operation has in their mathematical description derivatives of non integer order, which confirms the legitimacy of using models of non integer order to d
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Switched Models of Non-integer Ordernamic change of local linear models, depending on the value of an appropriately chosen switching function are discussed. Such a multimodel approach enables a relatively simple description of properties of many complex physical and abstract processes encountered in technology, especially in automatio
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Nonlinear Predictive Controls are in the form of general difference equations or state-space equations. MPC algorithms using directly nonlinear models in the optimization of the trajectory of the manipulated variables are described in the first part of the chapter. This leads to strictly optimal solutions, but is practically r
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