✦ LIBER ✦
A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment
✍ Scribed by Jun Wang; Guang Wu
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 771 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0005-1098
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✦ Synopsis
multilayer recurrent neural network is proposed for on-line synthesis of minimum-norm linear feedback control systems through pole assignment. The proposed neural network approach uses a four-layer recurrent neural network for the on-line computation of feedback gain matrices with the minimum Frobenius norm and desired closed-loop poles. The proposed recurrent neural network is shown to be capable of synthesizing minimum-norm linear feedback control systems in real time. The operating characteristics of the recurrent neural network and feedback control systems are demonstrated by use of an illustrative example.