Event-Based Adaptive Power Control in Vehicular Networked Systems With State-Dependent Bursty Fading Channels

2020 ◽  
Vol 67 (3) ◽  
pp. 506-510
Author(s):  
Bin Hu
Keyword(s):  
Power Control ◽  
Fading Channels ◽  
Networked Systems ◽  
State Dependent ◽  
Adaptive Power ◽  
Event Based

On Adaptive Power Control for Energy Harvesting Communication Over Markov Fading Channels

2017 ◽  
Vol 65 (2) ◽  
pp. 863-875 ◽  
Author(s):  
Masoud Badiei Khuzani ◽  
Hamidreza Ebrahimzadeh Saffar ◽  
Patrick Mitran
Keyword(s):  
Energy Harvesting ◽  
Power Control ◽  
Fading Channels ◽  
Adaptive Power

Adaptive Power Control for A-CDMA Systems Over K-Distributed Fading Channels

2016 ◽  
Vol 90 (4) ◽  
pp. 1843-1857
Author(s):  
Vidhyacharan Bhaskar ◽  
E. Gouthami Reddy
Keyword(s):  
Power Control ◽  
Fading Channels ◽  
Cdma Systems ◽  
Adaptive Power

Stabilization of networked switched affine systems with event-triggered strategy

2021 ◽  
pp. 014233122110213
Author(s):  
Dandan Li ◽  
Zhiqiang Zuo ◽  
Yijing Wang
Keyword(s):  
Affine Systems ◽  
Switching Law ◽  
Event Time ◽  
Sliding Motion ◽  
State Dependent ◽  
Event Triggering ◽  
Stability Issue ◽  
The Stability ◽  
Event Based ◽  
Selection Of

Using an event-based switching law, we address the stability issue for continuous-time switched affine systems in the network environment. The state-dependent switching law in terms of the region function is firstly developed. We combine the region function with the event-triggering mechanism to construct the switching law. This can provide more candidates for the selection of the next activated subsystem at each switching instant. As a result, it is possible for us to activate the appropriate subsystem to avoid the sliding motion. The Zeno behavior for the switched affine system can be naturally ruled out by guaranteeing a positive minimum inter-event time between two consecutive executions of the event-triggering threshold. Finally, two numerical examples are given to demonstrate the effectiveness of the proposed method.

Sign in / Sign up

Export Citation Format

Share Document