wyszukanych pozycji: 4
Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven
ISBN: 9789811904639 / Angielski / Twarda / 2022 / 218 str. Termin realizacji zamówienia: ok. 20 dni roboczych. 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...
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cuttin...
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cena:
509,31 zł |
Data-Driven Iterative Learning Control for Discrete-Time Systems
ISBN: 9789811959493 / Angielski / Twarda / 2022 / 235 str. Termin realizacji zamówienia: ok. 20 dni roboczych. 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...
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 lear...
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cena:
587,67 zł |
Data-Driven Iterative Learning Control for Discrete-Time Systems
ISBN: 9789811959523 / Angielski / Miękka / 2023 Termin realizacji zamówienia: ok. 20 dni roboczych. 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...
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 lear...
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cena:
587,67 zł |
Discrete-Time Adaptive Iterative Learning Control: From Model-Based to Data-Driven
ISBN: 9789811904660 / Angielski / Miękka / 2023 / 206 str. Termin realizacji zamówienia: ok. 20 dni roboczych. 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...
This book belongs to the subject of control and systems theory. The discrete-time adaptive iterative learning control (DAILC) is discussed as a cuttin...
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|
cena:
509,31 zł |