scholarly journals Capacity Bounds for Discrete-Time, Amplitude-Constrained, Additive White Gaussian Noise Channels

2017 ◽  
Vol 63 (7) ◽  
pp. 4172-4182 ◽  
Author(s):  
Andrew Thangaraj ◽  
Gerhard Kramer ◽  
Georg Bocherer
Keyword(s):  
Discrete Time ◽  
Gaussian Noise ◽  
Additive White Gaussian Noise ◽  
White Gaussian Noise ◽  
Capacity Bounds ◽  
Gaussian Noise Channels

scholarly journals Optimal Tracking Performance of MIMO Discrete-Time Systems with Network Parameters

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Chao-Yang Chen ◽  
Weihua Gui ◽  
Zhi-Hong Guan ◽  
Shaowu Zhou ◽  
Cailun Huang
Keyword(s):  
Fading Channels ◽  
Discrete Time ◽  
Gaussian Noise ◽  
Additive White Gaussian Noise ◽  
Steady State Solution ◽  
White Gaussian Noise ◽  
Algebraic Riccati Equation ◽  
Theoretical Development ◽  
Space Representation ◽  
Network Parameters

The optimal regulation properties of multi-input and multioutput (MIMO) discrete-time networked control systems (NCSs), over additive white Gaussian noise (AWGN) fading channels, based on state space representation, are investigated. The average performance index is introduced. Moreover, the regulation performance is measured by the control energy and the error energy of the system, and fundamental limitations are obtained. Two kinds of network parameters, fading and the additive white Gaussian noise, are considered. The best attainable regulation performance limitations can be obtained by the limiting steady state solution of the corresponding algebraic Riccati equation (ARE). The simulation results are given to demonstrate the main results of the theoretical development.

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