Adaptive-optimal control under time-varying stochastic uncertainty using past learning

Keyphrases

• Model Reference Adaptive System 100%
• Stochastic Uncertainty 100%
• Adaptive Optimal Control 100%
• Process Clustering 66%
• Online Gaussian Process 66%
• Predictive Models 33%
• Process-based 33%
• Adaptive Control 33%
• Similarity Model 33%
• Control Architecture 33%
• Controller 33%
• Clustering Algorithm 33%
• Excitation Condition 33%
• Dynamic Stochastic 33%
• Gaussian Process 33%
• Unmatched Uncertainties 33%
• Model Predictive Control 33%
• Persistent Excitation 33%
• Likelihood Ratio Test 33%
• Wing Rock 33%
• Non-Bayesian 33%
• Gaussian Process Model 33%
• Bayesian Nonparametric Model 33%
• Learning Transient 33%
• Aerospace Systems 33%
• Bayesian Clustering 33%
• Rock Dynamics 33%
• Command Shaping 33%

Engineering

• Gaussians 100%
• Optimal Control 100%
• Adaptive Control 100%
• Reference Model 75%
• Transients 25%
• Control Architecture 25%
• Salient Feature 25%
• Stochastic Dynamic 25%
• Excitation Condition 25%
• Clustering Algorithm 25%
• Predictive Control Model 25%
• Likelihood Ratio Test 25%
• Nonparametric Model 25%
• Rock Dynamics 25%

Computer Science

• Adaptive Control Systems 100%
• Reference Model 75%
• Predictive Model 50%
• clustering process 50%
• Likelihood Ratio 25%
• Clustering Algorithm 25%
• gaussian process model 25%