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本帖最后由 请叫我雷锋 于 2018-8-15 14:19 编辑
《Nonlinear H 2/H ∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks》
非线性h∞2∞约束反馈控制：一种实用的神经网络设计方法
作者：
MuradAbu-Khalaf
JieHuang
Frank L. Lewis
出版社：Springer
出版时间：2006年
《Nonlinear H 2/H ∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks ...
《Nonlinear H 2/H ∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks ...
《Nonlinear H 2/H ∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks ...
《Nonlinear H 2/H ∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks ...
目录
Mathematical Notation .......................................................................................xix
1 Preliminaries and Introduction ....................................................................... 1
1.1 Nonlinear Systems .....................................................................................1
1.1.1 Continuous-time Nonlinear Systems ..............................................1
1.1.2 Discrete-time Nonlinear Systems ................................................... 2
1.2 Stability of Nonlinear Systems .................................................................. 3
1.2.1 Lyapunov Stability of Continuous-time Nonlinear Systems .......... 4
1.2.2 Lyapunov Stability of Discrete-time Nonlinear Systems ............... 7
1.3 Dissipativity of Nonlinear Systems ........................................................... 8
1.3.1 Dissipativity of Continuous-time Nonlinear Systems..................... 9
1.3.2 Dissipativity of Discrete-time Nonlinear Systems........................ 12
1.4 Optimal Control of Nonlinear Systems.................................................... 14
1.4.1 Dynamic Programming and the HJB Equation............................. 14
1.4.2 Discrete-time HJB Equation......................................................... 17
1.5 Policy Iterations and Optimal Control ..................................................... 18
1.5.1 Policy Iterations and H2 Optimal Control..................................... 19
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