Multiple- Model Probabilistic Design of Robust Iterative Learning Controllers.
Similar Items:
1
Technical Paper
Multiple-Model Design of Robustified Repetitive Controllers with Optimized Convergence Rate
American Institute of Aeronautics and Astronautics |
7
Technical Paper
Robust Adaptive Multiple Model Controller Design for an Airbreathing Hypersonic Vehicle Model
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
8
Technical Paper
Practical, Model-Free, Completely Robust Learning Control using Reversed Time Input Runs
American Institute of Aeronautics and Astronautics |
3
Technical Paper
Extracting Mass, Stiffness, and Damping Matrices from Identified State-Space Models
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
4
Technical Paper
Designing Iterative Learning Control Subject to Actuator Limitations Using QP Methods
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
American Institute of Aeronautics and Astronautics |
12
Technical Paper
Ignition of Composite Solid Propellants: Model Development, Experiments, and Validation
American Institute of Aeronautics and Astronautics |