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Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
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In circuit analysis, situations often arise where resistors are neither in series nor parallel configurations. To tackle such scenarios, three-terminal equivalent networks like the wye (Y) (Figure 1 (a)) or tee (T) and delta (Δ) (Figure 1 (b)) or pi (π) networks come into play. These networks offer versatile solutions and are frequently encountered in various applications, including three-phase electrical systems, electrical filters, and matching networks.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Estimator design for complex networks with encoding decoding mechanism and buffer-aided strategy: A partial-nodes

Yuhan Zhang1, Lei Zou2, Yezheng Wang1

  • 1College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China.

ISA Transactions
|April 16, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a partial-nodes-based state estimation (PNBSE) method using an encoding-decoding mechanism (EDM) for complex networks. It ensures reliable state estimation (SE) despite intermittent communication, improving signal utilization.

Keywords:
Buffer-aided strategyComplex networksEncoding decoding schemePartial-nodes-based state estimationUnreliable transmission

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Area of Science:

  • Control Systems Engineering
  • Networked Systems
  • Signal Processing

Background:

  • Complex networks require robust state estimation (SE) for monitoring and control.
  • Unreliable communication channels with intermittent signal transmission pose significant challenges to SE performance.
  • Existing methods struggle with data loss and reduced transmission efficiency in such environments.

Purpose of the Study:

  • To develop a partial-nodes-based state estimation (PNBSE) strategy for complex networks operating over unreliable channels.
  • To enhance the efficiency of signal transmission using an encoding-decoding mechanism (EDM).
  • To ensure the ultimate boundedness of the state estimation error despite intermittent signal transmission.

Main Methods:

  • Utilizing an encoding-decoding mechanism (EDM) to convert signals into efficient finite-bit codewords.
  • Implementing a limited-capacity buffer to store and simultaneously transmit recent measurement signals, improving signal utilization.
  • Designing a partial-nodes-based (PNB) estimator tailored for the specific network architecture and communication constraints.

Main Results:

  • The study establishes sufficient conditions for the existence of the PNB estimator.
  • The ultimate boundedness of the state estimation error is theoretically analyzed and demonstrated.
  • Simulation results confirm the effectiveness and correctness of the proposed PNBSE strategy.

Conclusions:

  • The developed PNBSE approach effectively addresses state estimation challenges in complex networks with intermittent communication.
  • The integration of EDM and buffering significantly enhances transmission efficiency and estimation accuracy.
  • The proposed method provides a reliable framework for state estimation in networked systems with unreliable communication links.