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Fuzzy control of unknown multiple-input-multiple-output plants

✍ Scribed by Chunshien Li; Roland Priemer

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
995 KB
Volume
104
Category
Article
ISSN
0165-0114

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✦ Synopsis

A self-learning fuzzy logic system is given for control of unknown multiple-input-multiple-output (MIMO) plants. Some nomenclature and several data types are introduced to develop a general formulation for controller activity. A random optimization algorithm is given to train the controller. A plant model is not required for training. Instead, training is guided by observations of plant responses to inputs.

πŸ“œ SIMILAR VOLUMES

Stability of control systems with multip
Stability of control systems with multiple nonlinearities and multiple inputs
✍ Y.H. Ku; H.T. Chieh πŸ“‚ Article πŸ“… 1966 πŸ› Elsevier Science 🌐 English βš– 520 KB

This paper gives two theorems for the stability nnd asymptotic stability of control systems with multiple nonlinearities and multiple inputs. A frequency criterion is used in connection with the transfer junction matrix which may have elements involving simple poles on the imaginary axis. Theorem I