Advanced controller design using neural networks for nonlinear dynamic systems with application to micro/nano robotics

Author

Qinmin Yang

Abstract

"The dissertation focuses on neural network (NN) control designs for nonlinear systems with application to micro/nano robotic. Critical problems in nano scale including thermal drift are also addressed"--Abstract, page iv.

Advisor(s)

Sarangapani, Jagannathan, 1965-

Committee Member(s)

Ali, Syed F.
Bohannan, Eric W., 1969-
Kim, Chang-Soo
Erickson, Kelvin T.
Dagli, Cihan H., 1949-

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2007

Journal article titles appearing in thesis/dissertation

• Atomic force microscope-based nanomanipulation with drift compensation
• Automatic drift compensation using phase-correlation method for nanomanipulation
• Near optimal control of affine nonlinear discrete-time systems using online approximators
• Online reinforcement learning neural network controller design with drift compensation for nanomanipulation
• Suite of robust controllers for the manipulation of microscale objects

Pagination

xiii, 169 pages

Note about bibliography

Includes bibliographical references.

Rights

© 2007 Qinmin Yang, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Subject Headings

MicrotechnologyNanotechnologyNeural networks (Computer science)Nonlinear control theoryRobotics

Thesis Number

T 9226

Print OCLC #

233578579

Electronic OCLC #

182860737

Recommended Citation

Yang, Qinmin, "Advanced controller design using neural networks for nonlinear dynamic systems with application to micro/nano robotics" (2007). Doctoral Dissertations. 1981.
https://scholarsmine.mst.edu/doctoral_dissertations/1981