๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Decentralized adaptive fuzzy control for large-scale nonlinear systems

โœ Scribed by Tian-Ping Zhang; Chun-Bo Feng

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
395 KB
Volume
92
Category
Article
ISSN
0165-0114

No coin nor oath required. For personal study only.

โœฆ Synopsis

A decentralized adaptive fuzzy control scheme for a class of large-scale nonlinear systems is proposed in this paper. The design is based on the principle of sliding mode control and the approximation capability of fuzzy systems. The control architecture employs decentralized fuzzy systems to adaptively compensate for plant uncertainties. By using the Lyapunov function method, the control algorithm is proved to be globally stable, with tracking errors converging to a neighborhood of zero.

๐Ÿ“œ SIMILAR VOLUMES

Decentralized adaptive fuzzy neural iter
Decentralized adaptive fuzzy neural iterative learning control for nonaffine nonlinear interconnected systems
โœ Ying-Chung Wang; Chiang-Ju Chien ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 260 KB ๐Ÿ‘ 2 views

## Abstract In this paper, we study the design of iterative learning controllers for nonaffine nonlinear interconnected systems with repeatable control tasks. The interaction between each subsystem can be a general type of unknown nonlinear function if a bounding condition is satisfied. An error mo

Decentralized adaptive control for large
Decentralized adaptive control for large-scale time-delay systems with dead-zone input
โœ Jing Zhou ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 664 KB

In this paper, a decentralized adaptive control scheme is proposed to address output tracking of a class of interconnected time-delay subsystems with the input of each loop preceded by an unknown dead-zone. Each local controller is designed using the backstepping technique and consists of a new robu