《智能控制技術與應用案例設計》聚焦智能控制技術在石化行業(yè)的應用，全書共六章。首章闡述智能控制的發(fā)展、研究內容、對象、性能及特點。第二章圍繞模糊控制，涵蓋理論、模糊PID、Matlab 實現(xiàn)及工程實驗。第三章將李雅普諾夫穩(wěn)定性理論融入自適應控制，解決非線性系統(tǒng)問題并給出仿真實例。第四章構建神經網(wǎng)絡系統(tǒng)辨識體系，用于流程工業(yè)過程建模。第五章研究遺傳算法與群智能搜索在系統(tǒng)辨識中的融合應用。第六章介紹專家控制系統(tǒng)的構建、分類及應用。本書融合多學科知識，提供理論框架與實踐案例，助力提升工業(yè)生產智能化水平。
第 1 章 緒論 ···································································································1
1.1 智能控制的提出與發(fā)展 ·············································································1
1.1.1 智能控制的提出··············································································1
1.1.2 智能控制的發(fā)展··············································································3
1.2 智能控制的主要研究內容 ··········································································3
1.2.1 專家控制·······················································································4
1.2.2 模糊控制·······················································································4
1.2.3 神經網(wǎng)絡控制·················································································5
1.2.4 自適應控制····················································································6
1.2.5 生物啟發(fā)算法·················································································7
1.3 智能控制的研究對象、性能及特點 ······························································8
1.3.1 智能控制的研究對象 ·······································································8
1.3.2 智能控制系統(tǒng)的性能及特點 ······························································8
第 2 章 模糊控制 ··························································································.10
2.1 模糊理論概述·······················································································.10
2.1.1 模糊理論問題的引入 ····································································.10
2.1.2 模糊理論問題的發(fā)展 ····································································.10
2.1.3 模糊理論的應用領域 ····································································.11
2.2 模糊控制和模糊 PID 控制 ·······································································.12
2.2.1 模糊控制····················································································.12
2.2.2 模糊控制系統(tǒng)··············································································.13
2.2.3 模糊 PID 控制 ·············································································.14
2.2.4 模糊 PID 控制器的設計過程 ···························································.16
2.3 2.4 基于 Matlab 的模糊控制器設計 ································································.23
模糊 PID 工程實驗 ················································································.26
2.4.1 換熱器模糊 PID 控制實驗目的 ························································.26
2.4.2 換熱器模糊 PID 控制實驗要求 ························································.26
2.4.3 換熱器模糊 PID 控制實驗設備 ························································.26
2.4.4 換熱器模糊 PID 控制實驗內容 ························································.27
2.4.5 換熱器模糊 PID 控制實驗結論 ························································.39
2.5 模糊控制的適用范圍及研究意義 ······························································.40
第 3 章 基于自適應方法的非線性控制系統(tǒng)設計與實現(xiàn) ··········································.42
3.1 自校正控制系統(tǒng)····················································································.42
3.2 李雅普諾夫穩(wěn)定性定理 ··········································································.45
3.2.1 李雅普諾夫意義下的穩(wěn)定性 ···························································.45
3.2.2 函數(shù)的正定性··············································································.46
3.2.3 李雅普諾夫穩(wěn)定性定理內容 ···························································.46
3.3 一類非線性動態(tài)的自適應控制與穩(wěn)定性 ·····················································.48
3.3.1 問題描述····················································································.48
3.3.2 統(tǒng)一的維納結構···········································································.49
3.3.3 非線性動態(tài)過程建模中的簡化維納結構 ············································.51
3.3.4 自適應控制設計與參數(shù)估計 ···························································.52
3.3.5 跟蹤性能及穩(wěn)定性分析 ·································································.54
3.3.6 仿真實例····················································································.56
3.4 最小方差調節(jié)器和最小方差自校正調節(jié)器設計 ············································.65
3.5 自適應控制的適用范圍及研究意義 ···························································.68
第 4 章 基于神經網(wǎng)絡的流程工業(yè)過程建模 ·························································.70
4.1 普通神經網(wǎng)絡與線性系統(tǒng)辨識的關系 ························································.70
4.1.1 問題描述····················································································.70
4.1.2 基礎理論····················································································.72
4.1.3 NN2TF 算法················································································.75
4.2 循環(huán)神經網(wǎng)絡在過程建模中的應用 ···························································.78
4.2.1 問題描述····················································································.78
4.2.2 模型介紹····················································································.81
4.2.3 DRNN 辨識模型的學習算法 ···························································.87
4.2.4 基于李雅普諾夫穩(wěn)定性方法的自適應學習率推導 ································.88
4.3 GRU 神經網(wǎng)絡在非線性動態(tài)過程建模中的應用 ···········································.91
4.3.1 GRU 神經網(wǎng)絡概述 ······································································.91
4.3.2 基于 GRU 神經網(wǎng)絡的過程建�！ぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁぁ�.91
4.4 神經網(wǎng)絡的適用范圍及研究意義 ····························································.105
第 5 章 基于生物啟發(fā)算法的辨識與控制優(yōu)化 ······················································106
5.1 遺傳算法介紹·····················································································.106
5.1.1 遺傳算法概念、特點及應用 ·························································.106
5.1.2 遺傳算法的基本流程及實現(xiàn)技術 ···················································.107
5.2 群智能搜索在系統(tǒng)辨識中的典型應用 ······················································.108
5.2.1 問題描述··················································································.108
5.2.2 基礎理論··················································································.109
5.2.3 基于群智能的迭代辨識 ·································································111
5.2.4 仿真實例····················································································115
5.3 生物啟發(fā)算法的適用范圍及研究意義 ······················································.121
第 6 章 專家控制系統(tǒng) ····················································································123
6.1 專家系統(tǒng)···························································································.123
6.1.1 專家系統(tǒng)定義············································································.123
6.1.2 專家系統(tǒng)構造············································································.123
6.1.3 專家系統(tǒng)實現(xiàn)方式······································································.124
6.1.4 專家系統(tǒng)工作過程······································································.124
6.1.5 基于專家系統(tǒng)的自整定 PID 控制器 ················································.125
6.2 專家控制系統(tǒng)介紹 ··············································································.128
6.2.1 直接專家控制系統(tǒng)······································································.128
6.2.2 間接專家控制系統(tǒng)······································································.129
6.2.3 專家 PID 控制 ···········································································.130
6.3 專家控制系統(tǒng)的適用范圍及研究意義 ······················································.131
參考文獻······································································································132
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