Optimal Control, 3rd Edition 英文原版 优秀控制 （第3版） Frank L. Lewis 

基本信息

By (author) Frank L. Lewis ,Draguna Vrabie , Vassilis L. Syrmos

Format Hardback | 552 pages

Dimensions 155 x 258 x 33mm | 892g

Publication date 20 Feb 2012

Publisher John Wiley & Sons Inc

Publication City/Country New York, United States

Language English

Edition Statement 3rd Edition

ISBN10 0470633492

ISBN13 9780470633496

页面参数仅供参考，具体以实物为准

内容简介

A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY

As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering. Its coverage encompasses all the fundamental topics as well as the major changes that have occurred in recent years. An abundance of computer simulations using MATLAB and relevant Toolboxes is included to give the reader the actual experience of applying the theory to real-world situations. Major topics covered include:

Static Optimization

Optimal Control of Discrete-Time Systems

Optimal Control of Continuous-Time Systems

The Tracking Problem and Other LQR Extensions

Final-Time-Free and Constrained Input Control

Dynamic Programming

Optimal Control for Polynomial Systems

Output Feedback and Structured Control

Robustness and Multivariable Frequency-Domain Techniques

Differential Games

Reinforcement Learning and Optimal Adaptive Control

*优控制理论经典文本的新版本

作为极好的介绍性文字和必不可少的参考，新版的《优秀控制》将满足机械，电气和航空航天工程专业工程师和高级学生的需求。它涵盖了所有基本主题以及近年来发生的重大变化。包括大量使用MATLAB和相关工具箱的计算机仿真，以为读者提供将理论应用于实际情况的实际经验。涵盖的主要主题包括：

静态优化

离散时间系统的*优控制

连续时间系统的*优控制

跟踪问题和其他LQR扩展

无最终时间且受约束的输入控制

动态编程

多项式系统的*优控制

输出反馈和结构化控制

鲁棒性和多变量频域技术

差分游戏

强化学习与*优自适应控制

作者简介

FRANK L. LEWIS is the Moncrief-O'Donnell Professor and Head of the Advanced Controls, Sensors, and MEMS Group in the Automation and Robotics Research Institute of the University of Texas at Arlington. Dr. Lewis is also a Fellow of the IEEE.

DRAGUNA L. VRABIE is Graduate Research Assistant in Electrical Engineering at the University of Texas at Arlington, specializing in approximate dynamic programming for continuous state and action spaces, optimal control, adaptive control, model predictive control, and general theory of nonlinear systems.

VASSILIS L. SYRMOS is a Professor in the Department of Electrical Engineering and the Associate Vice Chancellor for Research and Graduate Education at the University of Hawaii at Manoa.