Model predictive neural control with applications to a 6 DoF helicopter model

Proceedings of the American Control Conference

Volumn 1, Issue , 2001, Pages 488-493

  Wan, E A ^a   Bogdanov, A A ^a  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREES OF FREEDOM (MECHANICS); FEEDBACK CONTROL; HELICOPTERS; KINEMATICS; NEURAL NETWORKS; NONLINEAR SYSTEMS; OPTIMIZATION; RICCATI EQUATIONS; STABILITY;

MODEL PREDICTIVE NEURAL CONTROL; NEURAL NETWORK FEEDBACK CONTROLLER; STATE DEPENDENT RICCATI EQUATION CONTROLLER;

OPTIMAL CONTROL SYSTEMS;

EID: 0034842291     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acc.2001.945592     Document Type: Conference Paper

References (12)

1. Model predictive neural control of a high fidelity helicopter model
2. ∞ control via the state-dependent Riccati equation technique: Part 1, theory
3. ∞ control via the state-dependent Riccati equation technique: Part 2, examples
4. Increased rates of convergence through learning rate adaptation
5. Stabilizing receding horizon control of nonlinear systems: A control lyapunov function approach
6. Model predictive control
7. Nonlinear model predictive control using neural networks
8. An overview of industrial model predictive control technology
9. Receding horizon control lyapunov function approach to suboptimal regulation of nonlinear systems