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標(biāo)題: Titlebook: Control Theory Tutorial; Basic Concepts Illus Steven A. Frank Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and The Author(s) 2018 Contro [打印本頁]

作者: 冰凍    時(shí)間: 2025-3-21 18:14
書目名稱Control Theory Tutorial影響因子(影響力)




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作者: 合乎習(xí)俗    時(shí)間: 2025-3-21 21:42
BILD – Vermarktung einer starken Medienmarkesystem then begins to move along the new trajectory, updates again, and adjusts its trajectory again. By repeated updating, the system can often perform very well with limited information about nonlinear dynamics and other uncertainties.
作者: ABHOR    時(shí)間: 2025-3-22 04:22

作者: SKIFF    時(shí)間: 2025-3-22 08:09
Book‘‘‘‘‘‘‘‘ 2018g the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full softw
作者: 饑荒    時(shí)間: 2025-3-22 11:35

作者: 戰(zhàn)勝    時(shí)間: 2025-3-22 16:51

作者: 戰(zhàn)勝    時(shí)間: 2025-3-22 19:36
State Feedback For example, in the regulation of an organism’s body temperature, we could model performance and cost in terms of the system’s body temperature output. Alternatively, the internal dynamics of the system may include the burning of stored energy, the rise and fall of various signaling molecules, the
作者: Boycott    時(shí)間: 2025-3-23 00:52

作者: JOT    時(shí)間: 2025-3-23 01:46

作者: 躺下殘殺    時(shí)間: 2025-3-23 08:24
Time Delays the information that systems can use to respond to the environment. Adjusting for delays often requires systems to predict future states based on past inputs. Error-correcting feedback can enhance a system’s predictions and improve its ability to cope with delays.
作者: Ceramic    時(shí)間: 2025-3-23 10:14

作者: 學(xué)術(shù)討論會(huì)    時(shí)間: 2025-3-23 17:16

作者: 反感    時(shí)間: 2025-3-23 21:31

作者: PHONE    時(shí)間: 2025-3-23 23:03

作者: 頂點(diǎn)    時(shí)間: 2025-3-24 02:27

作者: 嚴(yán)重傷害    時(shí)間: 2025-3-24 06:39
Mitgliederbindungskommunikation,A theory of design tradeoffs requires broadly applicable measures of cost, performance, stability, and robustness. This chapter introduces the key measures of performance. The following chapters apply these measures to the analysis of particular systems.
作者: 同義聯(lián)想法    時(shí)間: 2025-3-24 12:04
https://doi.org/10.1007/978-3-658-03871-7This chapter develops the techniques needed to analyze how quickly a system can return to its setpoint after disturbance. The analysis also considers the design tradeoffs that arise with respect to other measures of performance, such as system stability or responsiveness to a change in setpoint.
作者: 刺耳的聲音    時(shí)間: 2025-3-24 17:41
Strategie, Wachstum und Innovation,The previous chapters focused on a system’s ability to reject perturbations and to remain stable with respect to uncertainties. This chapter focuses on a system’s ability to track external changes in the environment or changes in the system’s desired setpoint.
作者: anticipate    時(shí)間: 2025-3-24 20:49

作者: CLOUT    時(shí)間: 2025-3-25 02:54

作者: 使糾纏    時(shí)間: 2025-3-25 05:32
Introduction,This book introduces the basic principles of control theory in a concise self-study guide. The introductory chapter provides an overview of the three parts of the book: basic principles, design tradeoffs, and common challenges.
作者: 羽飾    時(shí)間: 2025-3-25 09:54
Control Theory DynamicsThe mathematics of classical control theory depends on linear ordinary differential equations, which commonly arise in all scientific disciplines. Control theory emphasizes a powerful Laplace transform expression of linear differential equations that helps in the conceptual understanding and analysis of complex systems.
作者: 開始從未    時(shí)間: 2025-3-25 11:59

作者: eustachian-tube    時(shí)間: 2025-3-25 19:48
Performance and Robustness MeasuresA theory of design tradeoffs requires broadly applicable measures of cost, performance, stability, and robustness. This chapter introduces the key measures of performance. The following chapters apply these measures to the analysis of particular systems.
作者: 施魔法    時(shí)間: 2025-3-25 22:41
RegulationThis chapter develops the techniques needed to analyze how quickly a system can return to its setpoint after disturbance. The analysis also considers the design tradeoffs that arise with respect to other measures of performance, such as system stability or responsiveness to a change in setpoint.
作者: 避開    時(shí)間: 2025-3-26 02:53

作者: Brittle    時(shí)間: 2025-3-26 07:40
NonlinearityReal systems are nonlinear. This chapter begins with three reasons why the core theory of control focuses on linear analysis. The chapter continues by introducing various design methods that explicitly consider nonlinear system dynamics.
作者: Perennial長期的    時(shí)間: 2025-3-26 09:12

作者: 縫紉    時(shí)間: 2025-3-26 15:38
,Einführung: Vom Wert eines Buches,tral role in robust control systems. The classic example of proportional, integral, and derivative control is used to illustrate the sensitivities of control systems and the design tradeoffs that arise between alternative performance goals.
作者: GIST    時(shí)間: 2025-3-26 16:59
,Kultur, Führung & Mitarbeiter,uctuate over time. Designing a control system that can perform well when the intrinsic dynamics are uncertain raises new challenges. This chapter introduces the fundamental concepts of designing stable systems under uncertainty.
作者: Chronic    時(shí)間: 2025-3-26 22:53

作者: 意見一致    時(shí)間: 2025-3-27 03:47
https://doi.org/10.1007/978-3-658-04100-7s. Adaptive methods adjust parameters in response to information about external inputs and system outputs. Adaptive error-correcting techniques often provide a good approach to coping with unknown nonlinear system dynamics.
作者: 割讓    時(shí)間: 2025-3-27 07:31
BILD – Vermarktung einer starken Medienmarkely the first step of the full trajectory toward the target state. Model predictive control considers the full sequence of steps required to move the system optimally from its current state to a future target. The control system then applies the first inputs to start the system along that optimal tra
作者: 兵團(tuán)    時(shí)間: 2025-3-27 11:16

作者: 起波瀾    時(shí)間: 2025-3-27 15:33
Steven A. FrankOpen access book illustrating key concepts and forming a basis for a tutorial on control theory programming in Mathematica.Takes a unique concept-focused approach to show readers how to understand the
作者: 真    時(shí)間: 2025-3-27 18:39
SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/c/image/237291.jpg
作者: 費(fèi)解    時(shí)間: 2025-3-28 01:49
Control Theory Tutorial978-3-319-91707-8Series ISSN 2191-530X Series E-ISSN 2191-5318
作者: AVANT    時(shí)間: 2025-3-28 04:32

作者: Granular    時(shí)間: 2025-3-28 09:32
,Kultur, Führung & Mitarbeiter,uctuate over time. Designing a control system that can perform well when the intrinsic dynamics are uncertain raises new challenges. This chapter introduces the fundamental concepts of designing stable systems under uncertainty.
作者: Mundane    時(shí)間: 2025-3-28 13:36
Perspektiven softwarebasierter Konnektivit?t For example, in the regulation of an organism’s body temperature, we could model performance and cost in terms of the system’s body temperature output. Alternatively, the internal dynamics of the system may include the burning of stored energy, the rise and fall of various signaling molecules, the dilation of blood vessels.
作者: Outspoken    時(shí)間: 2025-3-28 15:25

作者: Diastole    時(shí)間: 2025-3-28 19:43
BILD – Vermarktung einer starken Medienmarke the information that systems can use to respond to the environment. Adjusting for delays often requires systems to predict future states based on past inputs. Error-correcting feedback can enhance a system’s predictions and improve its ability to cope with delays.
作者: Homocystinuria    時(shí)間: 2025-3-29 00:50

作者: 消音器    時(shí)間: 2025-3-29 03:28
978-3-319-91706-1The Editor(s) (if applicable) and The Author(s) 2018
作者: MUTED    時(shí)間: 2025-3-29 10:36
Basic Control Architecturetral role in robust control systems. The classic example of proportional, integral, and derivative control is used to illustrate the sensitivities of control systems and the design tradeoffs that arise between alternative performance goals.
作者: glucagon    時(shí)間: 2025-3-29 12:36

作者: Compass    時(shí)間: 2025-3-29 19:27
State Feedback For example, in the regulation of an organism’s body temperature, we could model performance and cost in terms of the system’s body temperature output. Alternatively, the internal dynamics of the system may include the burning of stored energy, the rise and fall of various signaling molecules, the dilation of blood vessels.
作者: 卷發(fā)    時(shí)間: 2025-3-29 23:08

作者: 賄賂    時(shí)間: 2025-3-30 01:19

作者: LATER    時(shí)間: 2025-3-30 07:18

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作者: Humble    時(shí)間: 2025-3-30 14:07





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