Data-Rate-Constrained State Estimation and Control of Complex Networked Systems

1. Introduction 2. Gain-Scheduled State Estimation for Discrete-time Complex Networks Under Bit-Rate Constraints 3. Partial-Neurons-Based State Estimation For Artificial Neu- ral Networks Under Constrained Bit Rate: The Finite-Time Case 4. Synchronization Control for a Class of Discrete-Time Dynam- ical Networks With Packet Dropouts: A Coding-Decoding-Based Approach 5. Observer-Based Consensus Control for Discrete-Time Multi- Agent Systems with Coding-Decoding Communication Protocol 6. Recursive Filtering with Measurement Fading: A Multiple Description Coding Scheme 7. Stabilization of Linear Discrete-time Systems Over Resource- Constrained Networks Under Dynamical Multiple Description Coding Scheme 8. An Event-Triggered Encoding Approach to Control of Linear Systems under Bit Rate Conditions 9. Event-Based State Estimation under Constrained Bit Rate: An Encoding-Decoding Approach 10. Conclusions and Future Topics

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Bit-Rate Constraints;Dynamical Networks;Packet Dropouts;Coding-Decoding Communication Protocol;Measurement Fading;Event-Triggered Encoding