scholarly journals Event-triggered control for a linear continuous-time system under resource constraint environment

2021 ◽  
Author(s):  
poonam sahu ◽  
Deepak Fulwani
Keyword(s):  
Continuous Time ◽  
System Performance ◽  
Design Parameters ◽  
Continuous Linear ◽  
Time System ◽  
Augmented System ◽  
Event Triggered ◽  
Selection Of ◽  
Input Error ◽  
Continuous Time System

<div>A network-based event-triggered control is proposed for the continuous linear system. The primary feature of the proposed event-triggered control is to broadcast the current measurements when a pre-defined condition on input error is satisfied, which can avoid the redundant control updates from the controller to the actuator. Secondly, it provides an augmented system performance by appropriate selection of design parameters. Moreover, a dynamic threshold is introduced in the triggered condition to further improve the trade-off between resource utilization and system performance.</div>

scholarly journals Event-triggered control for a linear continuous-time system under resource constraint environment

2021 ◽  
Author(s):  
poonam sahu ◽  
Deepak Fulwani
Keyword(s):  
Continuous Time ◽  
System Performance ◽  
Design Parameters ◽  
Continuous Linear ◽  
Time System ◽  
Augmented System ◽  
Event Triggered ◽  
Selection Of ◽  
Input Error ◽  
Continuous Time System

<div>A network-based event-triggered control is proposed for the continuous linear system. The primary feature of the proposed event-triggered control is to broadcast the current measurements when a pre-defined condition on input error is satisfied, which can avoid the redundant control updates from the controller to the actuator. Secondly, it provides an augmented system performance by appropriate selection of design parameters. Moreover, a dynamic threshold is introduced in the triggered condition to further improve the trade-off between resource utilization and system performance.</div>

Stability of real-time hybrid simulation involving time-varying delay and direct integration algorithms

2021 ◽  
pp. 107754632110016
Author(s):  
Liang Huang ◽  
Cheng Chen ◽  
Shenjiang Huang ◽  
Jingfeng Wang
Keyword(s):  
Real Time ◽  
Discrete Time ◽  
Continuous Time ◽  
Hybrid Simulation ◽  
Time Varying ◽  
Discrete Time System ◽  
Time System ◽  
Integration Algorithms ◽  
The Stability ◽  
Continuous Time System

Stability presents a critical issue for real-time hybrid simulation. Actuator delay might destabilize the real-time test without proper compensation. Previous research often assumed real-time hybrid simulation as a continuous-time system; however, it is more appropriately treated as a discrete-time system because of application of digital devices and integration algorithms. By using the Lyapunov–Krasovskii theory, this study explores the convoluted effect of integration algorithms and actuator delay on the stability of real-time hybrid simulation. Both theoretical and numerical analysis results demonstrate that (1) the direct integration algorithm is preferably used for real-time hybrid simulation because of its computational efficiency; (2) the stability analysis of real-time hybrid simulation highly depends on actuator delay models, and the actuator model that accounts for time-varying characteristic will lead to more conservative stability; and (3) the integration step is constrained by the algorithm and structural frequencies. Moreover, when the step is small, the stability of the discrete-time system will approach that of the corresponding continuous-time system. The study establishes a bridge between continuous- and discrete-time systems for stability analysis of real-time hybrid simulation.

An Exact Discrete Analog to a Closed Linear First-Order Continuous-Time System with Mixed Sample

1987 ◽  
Vol 3 (1) ◽  
pp. 143-149 ◽  
Author(s):  
Terence D. Agbeyegbe
Keyword(s):  
Continuous Time ◽  
Discrete Model ◽  
Moving Average ◽  
Discrete Analog ◽  
Time System ◽  
First Order ◽  
Exact Discrete Model ◽  
Asymptotically Efficient ◽  
Order Continuous ◽  
Continuous Time System

This article deals with the derivation of the exact discrete model that corresponds to a closed linear first-order continuous-time system with mixed stock and flow data. This exact discrete model is (under appropriate additional conditions) a stationary autoregressive moving average time series model and may allow one to obtain asymptotically efficient estimators of the parameters describing the continuous-time system.

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