Control Systems
Zhang3（讨论 | 贡献）2022年4月30日 (六) 00:42的版本 （创建页面，内容为“<noinclude> {{Featured book}} {{Control Systems/Page}} {| width=100% |- | valign=top width=30% | __TOC__ | valign=top | {{Goodbook/Control Systems|edit=1}} | valign=top | {{Print version}} {{PDF version|Control Systems}} {{Collection}} |} == Preface == {{Prerequisite|Signals and Systems}} {{Reading level|Professional}} {{:Control Systems/Preface}} </noinclude> {{-}} == Table of Contents == === Special Pages === {{RenderPNG}} {{Engineering Tables/Use}} {| |…”）
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Preface
模板:Prerequisite 模板:Reading level 这本书将讨论控制系统的主题，这是一个跨学科的工程主题。 这里考虑的方法包括“经典”控制方法和“现代”控制方法。 此外，离散采样的系统 (数字/计算机系统) 将与更常见的模拟方法并行考虑。 这本书将不会集中在任何单一的工程学科（电气，机械，化学等），虽然读者应该有一个坚实的基础，在至少一个学科的基础。
这本书将需要线性代数，积分和微积分的先验知识，以及至少一些常微分方程式的接触。 此外，积分变换的先验知识，特别是拉普拉斯和z变换将对学习非常有益。 此外，傅里叶变换的先验知识将为某些主题提供更多信息。 下面将列出包含本书所需微积分主题或变换主题信息的维基图书：
Table of Contents
Special Pages
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Controls Introduction
Classical Control Methods
Modern Control Methods
- State-Space Equations
- Linear System Solutions
- Time-Variant System Solutions
- Digital State-Space
- Eigenvalues and Eigenvectors
- Standard Forms
- MIMO Systems
- Realizations
System Representation
Stability
- Stability
- State-Space Stability
- Discrete-Time Stability
- Routh-Hurwitz Criterion
- Jury's Test
- Root Locus
- Nyquist Stability Criterion
Controllers and Compensators
- Controllability and Observability
- System Specifications
- State Feedback
- Estimators and Observers
- Eigenvalue Assignment for MIMO Systems
- Controllers and Compensators
- Polynomial Design
Adaptive Control
Nonlinear Systems
Noisy Systems
Introduction to Digital Controls
- Digital Control Systems
- Discrete-Time Stability
- System Delays
- Sampled Data Systems
- Z Transform Mappings
Linear Matrix Inequalities in Control
Examples
Appendices
- Physical Models
- Transforms
- System Representations
- Matrix Operations
- Using MATLAB ®
- Using Octave
- Using Julia
- Using Scilab
- Using Python