Recurrent neural networks for synthesizing linear control systems via pole placement
From MaRDI portal
Publication:4862283
DOI10.1080/00207729508929174zbMath0850.93319OpenAlexW1972885637MaRDI QIDQ4862283
Publication date: 17 July 1996
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207729508929174
Neural networks for/in biological studies, artificial life and related topics (92B20) Pole and zero placement problems (93B55)
Related Items
Robust eigenvalue assignment in second-order systems: a gradient flow approach, A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment, Properties and computation of continuous-time solutions to linear systems, A new approach for instantaneous pole placement with recurrent neural networks and its application in control of nonlinear time-varying systems
Cites Work
- Pole assignment via Sylvester's equation
- Neural network approach to computing matrix inversion
- Recurrent neural networks for LU decomposition and Cholesky factorization
- Solving simultaneous linear equations using recurrent neural networks
- Neural net based model predictive control
- Neural networks for solving systems of linear equations and related problems
- Stable control of nonlinear systems using neural networks
- Neural-net computing and the intelligent control of systems
- An adaptive control for CARMA systems using linear neural networks
- Solutions of the equation AV+BW=VF and their application to eigenstructure assignment in linear systems
