Digital Control and State Variable Methods: Conventional and intelligent Control Systems , 4/e (IE-Paperback)

Madan Gopal

  • 出版商: McGraw-Hill Education
  • 出版日期: 2012-04-12
  • 定價: $1,150
  • 售價: 9.5$1,093
  • 語言: 英文
  • 裝訂: Mass Market Paperback
  • ISBN: 0071333274
  • ISBN-13: 9780071333276
  • 相關分類: 控制系統 Control-systems
  • 立即出貨 (庫存=1)

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商品描述

<內容簡介>

The book takes a new approach to presenting the vital control theories that have become a necessary part of the fundamental background of control engineers. Coverage of digital control, state-space analysis and design, nonlinear control, and intelligent control has been nicely blended to serve the interests of senior undergraduate students, graduate students, research community, and practicing engineers.

<章節目錄>

Part I Digital Control: Principles and Design in Transform Domain
Ch1: Introduction
Ch2: Signal Processing in Digital Control
Ch3: Models of Digital Control Devices and Systems
Ch4: Design of Digital Control Algorithms
Part II State Variable Methods in Automatic Control: Continuous-Time and
Sampled-Data Systems
Ch5: Control System Analysis Using State Variable Methods
Ch6: State Variable Analysis of Digital Control Systems
Ch7: Pole-Placement Design and State Observers
Ch8: Linear Quadratic Optimal Control through Lyapunov Synthesis
Part III Nonlinear Control Systems: Conventional and Intelligent
Ch9: Nonlinear Systems Analysis
Ch10: Nonlinear Control Structures
Ch11: Intelligent Control with Neural Networks/Support Vector Machines
Ch12: Fuzzy Logic and Neuro-Fuzzy Systems
Ch13: Optimization with Genetic Algorithms
Ch14: Intelligent Control with Reinforcement Learning


商品描述(中文翻譯)

內容簡介:
本書採用了一種新的方法來呈現成為控制工程師基本背景必要部分的重要控制理論。數字控制、狀態空間分析和設計、非線性控制和智能控制的內容被巧妙地結合起來,以滿足高年級本科生、研究生、研究社區和實踐工程師的需求。

章節目錄:
Part I 數字控制: 轉換域中的原理和設計
Ch1: 簡介
Ch2: 數字控制中的信號處理
Ch3: 數字控制設備和系統的模型
Ch4: 數字控制算法的設計
Part II 狀態變量方法在自動控制中的應用: 連續時間和取樣數據系統
Ch5: 使用狀態變量方法進行控制系統分析
Ch6: 數字控制系統的狀態變量分析
Ch7: 極點配置設計和狀態觀測器
Ch8: 通過李亞普諾夫綜合實現線性二次最優控制
Part III 非線性控制系統: 傳統和智能
Ch9: 非線性系統分析
Ch10: 非線性控制結構
Ch11: 使用神經網絡/支持向量機的智能控制
Ch12: 模糊邏輯和神經模糊系統
Ch13: 遺傳算法優化
Ch14: 使用強化學習的智能控制