Signal‐to‐noise ratio constrained feedback control: discrete‐time robust stability analysis

Rojas, Alejandro J.; Garcés, Hugo O.

doi:10.1049/iet-cta.2018.5007

Cited by 5 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimal control and stabilization in simultaneous local and remote controller for networked control systems (NCSs) was proposed by Liang et al [11]. ysis based on SNR has been extensively investigated in [14][15][16]. Although it would be ideal to have a high SNR that guarantees the successful delivery of the sequence of symbols, a massive amount of energy is required for such a scenario, which is not a perfect choice in limited-energy devices in the long run.…”

Section: Introductionmentioning

confidence: 99%

Energy Optimization on Wireless-networked Control Systems (W-NCSs) Using Linear Quadratic Gaussian (LQG)

Subchan

Zuhair

Asfihani

et al. 2021

Int. J. Control Autom. Syst.

View full text Add to dashboard Cite

In a wireless networked control system (W-NCS), energy is required to transmit a sensor reading to the controller. It should be noted that the packet success rate (PSR) is an essential factor in the control performance, and PSR is directly proportional to the energy per symbol. Hence, it requires a significant amount of energy to have perfect control performance. However, in most cases in wireless sensor network scenarios, each node is attached to a limited power battery. Therefore, an energy optimization scheme that can harvest energy while maintaining the control performance is essentially required. The combination of Kalman filter and Linear Quadratic Regulator (LQR) that is known as Linear Quadratic Gaussian (LQG) is used as the backbone of the scheme to estimate the state and synthesize the optimal control. In addition, the optimal power scheduler (PS) is introduced to minimize energy usage while maintaining control performance. The finite block length approach is applied to achieve the upper bound of packet error rate. The results of energy consumption optimization showed that the scheme worked perfectly, wherein the energy per symbol usage is low, and the stability of the dynamic system is well maintained.

show abstract