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عنوان
Adaptive critic control with robust stabilization for uncertain nonlinear systems /

پدید آورنده
Ding Wang, Chaoxu Mu.

موضوع
Adaptive control systems.,Machine learning.,Adaptive control systems.,Automatic control engineering.,Machine learning.,Optimization.,Robotics.,TECHNOLOGY & ENGINEERING-- Engineering (General)

رده
TJ217
.
W36
2019eb

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

9789811312533
9789811312540
9789811345937
9811312532
9811312540
9811345937
9789811312526
9811312524

Adaptive critic control with robust stabilization for uncertain nonlinear systems /
[Book]
Ding Wang, Chaoxu Mu.

Singapore :
Springer,
[2019]

1 online resource

Studies in systems, decision and control,
volume 167
2198-4182 ;

Includes bibliographical references and index.

A Survey of Robust Adaptive Critic Control Design -- Robust Optimal Control of Nonlinear Systems with Matched Uncertainties -- Observer-Based Online Adaptive Regulation for a Class of Uncertain Nonlinear Systems -- Adaptive Tracking Control of Nonlinear Systems Subject to Matched Uncertainties -- Event-Triggered Robust Stabilization Incorporating an Adaptive Critic Mechanism -- An Improved Adaptive Optimal Regulation Framework with Robust Control Synthesis -- Robust Stabilization and Trajectory Tracking of General Uncertain Nonlinear Systems -- Event-Triggered Nonlinear H∞ Control Design via an Improved Critic Learning Strategy -- Intelligent Critic Control with Disturbance Attenuation for a Micro-Grid System -- Sliding Mode Design for Load Frequency Control with Power System Applications.
0

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.

Springer Nature
com.springer.onix.9789811312533

Adaptive critic control with robust stabilization for uncertain nonlinear systems.
9789811312526

Adaptive control systems.
Machine learning.
Adaptive control systems.
Automatic control engineering.
Machine learning.
Optimization.
Robotics.
TECHNOLOGY & ENGINEERING-- Engineering (General)

TEC-- 009000
TJFM
TJFM

629
.
8/36
23

TJ217
.
W36
2019eb

Wang, Ding

Mu, Chaoxu

20200823224643.0
pn

 مطالعه متن کتاب 

[Book]

Y

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