Control and State Estimation for Dynamical Network Systems with Complex Samplings

1. Introduction 2. Stabilization and Control under Noisy Sampling Intervals 3. Distributed State Estimation over Sensor Networks with Nonuniform Samplings 4. Event-Triggered Control for Switched Systems 5. Event-Triggered H? State Estimation for State-Saturated Systems 6. Event-Triggered State Estimation for Discrete-Time Neural Networks 7. Event-Triggered Fusion Estimation for Multi-Rate Systems 8. Synchronization Control under Dynamic Event-Triggered Mechanisms 9. Filtering or State Estimation under Dynamic Event-Triggered Mechanisms 10. Conclusions and Future Work

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Delays;Sample-data Systems;H? Resilient State Estimation;Filtering;Stochastic Parameters;Synchronization;Takagi Sugeno Fuzzy Systems;Sampled Data Controller;Lyapunov Functional;Matlab LMI Toolbox;Input Delay Approach;Synchronization Control Problem;Synchronization Controllers;Lyapunov Functional Approach;Continuous Time Nonlinear Systems;Sampled Data Control System;Kronecker Product Operation;Sampling Interval Variations;Distributed Filtering Problem;State Estimation Problem;Sampled Data Stabilization;Finite Time Boundedness;Set Membership Filtering;Sampled Data Control Problem;Discrete Time Stochastic System;Asymptotically Stable;Stochastically Stable;Complex Dynamical Network;Sampled Data Systems;Estimation Error System;Prescribed Disturbance Attenuation Level