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PD Plus Error-Dependent Integral Nonlinear Controllers for Robot Manipulators

Abstract: In framework of traditional PID controllers, there are only three parameters available to tune, as a result, performance of the resulting system is always limited. As for Cartesian regulation of robot manipulators with uncertain Jacobian matrix, a scheme of PID controllers with error-dependent integral action is proposed. Compare with traditional PID controllers, the error-dependent […]

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The Industrial Sector is Uniquely Vulnerable to Cyberattack

Cybersecurity is a growing international concern. Global insurance market Lloyd’s of London’s Risk Index 2013 rated cybersecurity the number three top threat to the global economy in 2013, up from number 12 the previous year. With the rise of cybercrime, it is important for companies and organizations to understand their unique vulnerabilities to this type […]

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ISA Sharpens Its Focus On Achieving Its Strategic Goals

For this post, I want to provide an update on ISA’s Executive Summit, which was held in Greensboro, N.C., 24-25 January 2015. Participants included the 2015 Executive Board members, Assembly Chairs, Strategic Planning VP and VP-Elect, and certain staff. The purpose of the Executive Summit was to bring participants together to review strategic goals and […]

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Integrating Multigenerational Automation Systems

Process manufacturing plants are famous, some would say notorious, for their tendency to keep automation systems and associated networks up and running for decades. Some estimates suggest that easily half of the automation systems controlling plants in North America have parts that are at least 20 years old, and 30-year old systems are not rare. […]

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Fault Detection and Diagnosis for Non-Gaussian Stochastic Distribution Systems With Time Delays via RBF Neural Networks

Abstract: A new fault detection and diagnosis (FDD) problem via the output probability density functions (PDFs) for non-gausian stochastic distribution systems (SDSs) is investigated. The PDFs can be approximated by radial basis functions (RBFs) neural networks. Different from conventional FDD problems, the measured information for FDD is the output stochastic distributions and the stochastic variables […]

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Temperature Communication for Best Accuracy and Reliability, and Least Noise

Communication from the temperature sensor to the control room should be designed to provide the greatest accessibility, flexibility, reliability, and accuracy. What was traditionally thought to be the least expensive solution has severe ramifications and hidden costs. Here we look at how the advent of smart transmitters and wireless communication has opened the door to […]

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