Add to ORKGThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes bibliographical references (p. 154-160).by Ssu-Hsin Yu.Ph.D
This paper presents a first attempt to relate the experimental studies to theoretical developments a...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994, and Thesis (...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
The difficulties in identification and control of engineering systems are due to sev-eral factors in...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes...
This paper presents a discussion of the applicability of neural networks in the identification and c...
The series Advances in Industrial Control aims to report and encourage technology transfer in contro...
AbstractModels for the identification and control of nonlinear dynamical systems using neural networ...
AbstractThe identification of parameters in models of structural and mechanical systems is an import...
A method for the development of mathematical models for dynamic systems with arbitrary nonlinearitie...
In this thesis, on-line identification algorithm and adaptive control design are proposed for nonlin...
Artificial neural networks offer some interesting possibilities for use in control. Our current rese...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Most industrial systems are nonlinear. In these applications the conventional identification and con...
Nonlinear system identification (NSI) is of great significance to modern scientific engineering and ...
This paper presents a first attempt to relate the experimental studies to theoretical developments a...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994, and Thesis (...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...
The difficulties in identification and control of engineering systems are due to sev-eral factors in...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.Includes...
This paper presents a discussion of the applicability of neural networks in the identification and c...
The series Advances in Industrial Control aims to report and encourage technology transfer in contro...
AbstractModels for the identification and control of nonlinear dynamical systems using neural networ...
AbstractThe identification of parameters in models of structural and mechanical systems is an import...
A method for the development of mathematical models for dynamic systems with arbitrary nonlinearitie...
In this thesis, on-line identification algorithm and adaptive control design are proposed for nonlin...
Artificial neural networks offer some interesting possibilities for use in control. Our current rese...
Lately, there has been an extensive interest in the possible uses of neural networks for nonlinear s...
Most industrial systems are nonlinear. In these applications the conventional identification and con...
Nonlinear system identification (NSI) is of great significance to modern scientific engineering and ...
This paper presents a first attempt to relate the experimental studies to theoretical developments a...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994, and Thesis (...
This paper proposes a new neural adaptive control methodthat can perform adaptive control and identi...