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State Space Representation

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...

Control Systems: Applications

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...

Ampere-Maxwell's Law: Problem-Solving

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the...

Distributed Loads: Problem Solving

Distributed Loads: Problem Solving

Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...

Sequence Networks of Rotating Machines

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...

Control Systems

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...

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Related Experiment Video

Updated: May 2, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Maestro: an orchestration framework for large-scale WSN simulations.

Laurynas Riliskis¹, Evgeny Osipov²

¹Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå 971-87, Sweden. laurynas.riliskis@ltu.se.

Sensors (Basel, Switzerland)

|March 21, 2014

Summary

This summary is machine-generated.

Maestro automates large-scale wireless sensor network (WSN) simulations. This study explores using cloud computing for WSN simulations, identifying optimal virtual machine instances for performance and cost-efficiency.

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Last Updated: May 2, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Computer Science
Network Engineering

Background:

Wireless Sensor Networks (WSNs) are integral to cyber-physical systems and the Internet of Things, presenting design challenges due to limited resources.
Developing and validating WSN applications is resource-intensive, necessitating efficient testing methodologies.
The complexity of modern WSNs drives the need for scalable simulation tools.

Purpose of the Study:

To introduce Maestro, a tool for automating large-scale WSN simulations.
To investigate the feasibility of leveraging cloud computing for WSN simulations.
To develop a method for benchmarking cloud infrastructure for simulation workloads.

Main Methods:

Description of the Maestro simulation automation tool.
Exploration of cloud computing environments for WSN simulations.
Benchmarking of cloud Virtual Machine (VM) instances using Maestro's integrated tools.

Main Results:

Demonstration of Maestro's capability in automating large-scale WSN simulations.
Validation of cloud computing as a feasible platform for WSN simulations.
Identification of optimal cloud VM instances balancing performance and cost for simulations.

Conclusions:

Maestro provides an effective solution for automating large-scale WSN simulations.
Cloud computing offers a scalable and cost-effective environment for WSN simulation and testing.
Benchmarking cloud infrastructure is crucial for selecting optimal resources for WSN simulation tasks.