Persuasion-Based Robust Sensor Design against Attackers with Unknown Control Objectives

Keyphrases

• Sensor Design 100%
• Attacker 100%
• Control Objectives 100%
• Robust Sensor 100%
• Design Strategy 25%
• Highly Nonlinear 25%
• Process-based 25%
• Specific Model 25%
• Nonconvex 25%
• Covariance Matrix 25%
• Optimization Problem 25%
• Controller 25%
• Design Framework 25%
• Noisy Measurements 25%
• Linear Matrix Inequality 25%
• Solution Concepts 25%
• Posterior Belief 25%
• Semidefinite Programming 25%
• Partial Measurements 25%
• Persuade 25%
• Gauss-Markov Process 25%
• Noisy-OR 25%
• Stackelberg Equilibrium 25%
• Signalling Strategy 25%
• Stochastic Control System 25%

Computer Science

• Attackers 100%
• Control Objective 100%
• Optimization Problem 25%
• Sufficient Condition 25%
• Design Strategy 25%
• Design Framework 25%
• linear matrix 25%
• Covariance Matrix 25%
• Solution Concept 25%
• Markov Process 25%
• Stochastic Control 25%

Mathematics

• Control Objective 100%
• Stochastics 25%
• Necessary and Sufficient Condition 25%
• Markov Process 25%
• Linear Matrix Inequality 25%
• Covariance Matrix 25%
• Control System 25%