Globally convergent adaptive pole assignment for a class of non-minimum-phase stochastic systems

Hersh, M.A. and Zarrop, M.B. (1987) Globally convergent adaptive pole assignment for a class of non-minimum-phase stochastic systems. International Journal of Control, 45(5), pp. 1789-1802. (doi: 10.1080/00207178708933846)

Abstract

A key difficulty of the explicit approach to self-tuning control—both theoretically and computationally—is the need to solve a polynomial identity to generate the required controller coefficients. For systems with uncorrelated output noise, however, the identity has a simple solution, and in this paper the implications of this phenomenon are discussed in relation to self-tuning regulation. A suitable explicit algorithm is introduced, and it is shown that, under certain conditions, global stability and system identifiability can be established without recourse to sophisticated estimator management techniques.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Hersh, Dr Marion
• Authors: Hersh, M.A., and Zarrop, M.B.
• College/School: College of Science and Engineering > School of Engineering > Biomedical Engineering
• Journal Name: International Journal of Control
• Publisher: Taylor and Francis
• ISSN: 0020-7179
• ISSN (Online): 1366-5820