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51
A Uniform Approach for Synthesizing Property-Enforcing Super끼sors for Partially-Observed Discrete-Event Systell1s
A Uniform Approach for Synthesizing Property-Enforcing Super끼sors for Partially-Observed Discrete-Event Systell1s
X Yin and S. Lafortune / X Yin and S. Lafortune / 2016

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52
Energy-Efficient Data Forwarding for State Estimation in Multi-Hop Wireless Sensor Networks
Energy-Efficient Data Forwarding for State Estimation in Multi-Hop Wireless Sensor Networks
Peng, C. / Peng, C. / 2016

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53
MIMO Control Over Additive White Noise Channels: Stabilization and Tracking by LTI Controllers
MIMO Control Over Additive White Noise Channels: Stabilization and Tracking by LTI Controllers
Yiqian, L. / Yiqian, L. / 2016

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54
Verification of Hybrid Automata Diagnosability With Measurement Uncertainty
Verification of Hybrid Automata Diagnosability With Measurement Uncertainty
Yi, D. / Yi, D. / 2016

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55
Synthesis of Optimal Insertion Functions for Opacity Enforcement
Synthesis of Optimal Insertion Functions for Opacity Enforcement
Yi-Chin, W. / Yi-Chin, W. / 2016

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56
Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes
Discrete-Time Robust Iterative Learning Kalman Filtering for Repetitive Processes
Zhixing, C. / Zhixing, C. / 2016

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57
Partially Informed Agents Can Form a Swarm in a Nash Equilibrium
Partially Informed Agents Can Form a Swarm in a Nash Equilibrium
Yildiz, A. / Yildiz, A. / 2015

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58
A Bode-Like Integral for Discrete Linear Time-Periodic Systems
A Bode-Like Integral for Discrete Linear Time-Periodic Systems
Yingbo, Z. / Yingbo, Z. / 2015

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59
Analyzing Convergence and Rates of Convergence of Particle Swarm Optimization Algorithms Using Stochastic Approximation Methods
Analyzing Convergence and Rates of Convergence of Particle Swarm Optimization Algorithms Using Stochastic Approximation Methods
Yuan, Q. / Yuan, Q. / 2015

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60
System Identification Under Regular, Binary, and Quantized Observations: Moderate Deviations Error Bounds
System Identification Under Regular, Binary, and Quantized Observations: Moderate Deviations Error Bounds
He, Q. / He, Q. / 2015

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