Realisation of a Riccati equation-based controller using gradient-type neural networks

Control Engineering Practice

Volumn 9, Issue 3, 2001, Pages 329-341

  Lin, Chun Liang ^a   Chen, Chun Liang ^a  

^a FENG CHIA UNIVERSITY   (China)

Author keywords

Neural network; Real time simulation; Riccati matrix equation; Robust control

Indexed keywords

HOPFIELD NETWORKS;

COMPUTER SIMULATION; DIGITAL SIGNAL PROCESSING; FEEDBACK CONTROL; MATRIX ALGEBRA; NEURAL NETWORKS; REAL TIME SYSTEMS; RICCATI EQUATIONS;

ROBUSTNESS (CONTROL SYSTEMS);

NEURAL NETWORK; ON-LINE TECHNIQUE; PROCESS CONTROL;

EID: 0035282132     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(00)00114-3     Document Type: Article

References (13)

1. Benchmarks for the numerical solution of algebraic Riccati equations
2. Numerical methods for algebraic Riccati equations
3. Recurrent neural networks for stability verification of uncertain singular systems
4. DS1103 PPC controller board-rapid prototyping with combined RISC and DSP power for motion control
5. Robust adaptive LQ control schemes
6. Recurrent neural networks for solving linear matrix equations
7. An algebra Riccati equation approach to H∞ optimization