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A Bayesian perspective on stochastic neurocontrol
Randa Herzallah, David Lowe
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peer-review
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Engineering
Control Design
100%
Control Law
100%
Discrete-Time Systems
100%
Equivalence Principle
100%
Loss Function
100%
Nonlinear System
100%
Optimal Control
100%
Probabilistic Approach
100%
Probabilistic Framework
100%
Simplifies
100%
Simulation Example
100%
Systems Dynamics
100%
Keyphrases
Affine Class
33%
Bayesian Perspective
100%
Certainty Equivalence Principle
33%
Control Design
33%
Control Method
100%
Discrete-time Systems
33%
Framework Method
33%
Information Extraction
33%
Input Noise
33%
Loss Function
33%
Neuronal Control
100%
Nonlinear Simulation
33%
Optimal Control Law
33%
Probabilistic Approach
33%
Probabilistic Control
33%
Probabilistic Framework
33%
Process Data
33%
Simulation Example
33%
System Dynamics
33%
Theoretical Development
33%
Uncertain Nonlinear Systems
33%
Computer Science
Basic Paradigm
33%
Bayesian Perspective
100%
Control Method
100%
Discrete Time System
33%
Information Extraction
33%
Probabilistic Approach
33%
Probabilistic Framework
33%
Process Data
33%
Simulation Example
33%
System Dynamics
33%
Theoretical Development
33%
Uncertain Nonlinear Systems
33%
Mathematics
Bayesian Perspective
100%
Discrete Time System
50%
Loss Function
50%
Nonlinear System
50%
Optimal Control Theory
50%
Stochastics
100%