The problem of estimating the state variables from measurements in an electric-power system is considered. The conventional linearised least-squares solution is shown to be ineffective in the presence of gross measure...
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The problem of estimating the state variables from measurements in an electric-power system is considered. The conventional linearised least-squares solution is shown to be ineffective in the presence of gross measurement errors. Reformulating the problem as a linear program leads to a state estimator that combines the advantages of noise filtering and bad-data elimination, and may be implemented straightforwardly by application of the simplex method. The solution of various examples based on three test networks confirms the advantages of the method especially where the data are corrupted by a number of gross errors. Depending on the degree of redundancy in the measurement set, the computational requirements of the method are comparable with conventional least-squares solution. For real-time power-system monitoring and control where process variables have unknown statistics, the linear-programming method is believed to be more efficient than conventional algorithms.
A stable proper right (left) n th-order inverse of a given linear time-invariant system of order n can always be constructed, via a simple algorithm, if a proper right (left) inverse exists and the zeros of the given ...
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A stable proper right (left) n th-order inverse of a given linear time-invariant system of order n can always be constructed, via a simple algorithm, if a proper right (left) inverse exists and the zeros of the given system are stable. Furthermore, it is shown that all of the poles of this inverse can be arbitrarily assigned except those which equal the zeros of the given system.
The above paper has presented a number of methods for designing "optimal" inputs for system identification based on maximization of the trace of the information matrix. This approach leads to simple design a...
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The above paper has presented a number of methods for designing "optimal" inputs for system identification based on maximization of the trace of the information matrix. This approach leads to simple design algorithms. However caution must be exercised in interpreting the results as it will be shown in this note that the resulting inputs can, in many instances, give a singular information matrix, i.e, ambiguity in parameter estimates.
This note gives the necessary conditions for local identifiability of innovations models of linear dynamic systems. It is shown that the information matrix is singular if the input power density spectrum contains less...
It is shown that the estimate of transient behavior of composite systems presented in the previous paper can be extended to the case where some of the subsystems are not stable.
It is shown that the estimate of transient behavior of composite systems presented in the previous paper can be extended to the case where some of the subsystems are not stable.
This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electri...
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ISBN:
(数字)9789811582219
ISBN:
(纸本)9789811582202;9789811582233
This book presents the select proceedings of the International Conference on Automation, Signal Processing, Instrumentation and control (i-CASIC) 2020. The book mainly focuses on emerging technologies in electrical systems, IoT-based instrumentation, advanced industrial automation, and advanced image and signal processing. It also includes studies on the analysis, design and implementation of instrumentation systems, and high-accuracy and energy-efficient controllers. The contents of this book will be useful for beginners, researchers as well as professionals interested in instrumentation and control, and other allied fields.
This book constitutes the refereed proceedings of the 12th Annual Conference Towards Autonomous Robotics Systems, TAROS 2011, held in Sheffield, UK, in August/September 2011.;The 32 revised full papers presented toget...
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ISBN:
(数字)9783642232329
ISBN:
(纸本)9783642232312
This book constitutes the refereed proceedings of the 12th Annual Conference Towards Autonomous Robotics Systems, TAROS 2011, held in Sheffield, UK, in August/September 2011.;The 32 revised full papers presented together with 29 two-page abstracts were carefully reviewed and selected from 94 submissions. Among the topics addressed are robot navigation, robot learning, human-robot interaction, robot control, mobile robots, reinforcement learning, robot vehicles, swarm robotic systems, etc.
The series Advances in Industrial control aims to report and encourage technology transfer in controlengineering. The rapid development of control technology has an impact on all areas of the control discipline. New ...
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ISBN:
(数字)9781846283345
ISBN:
(纸本)9781852339821;9781849969895
The series Advances in Industrial control aims to report and encourage technology transfer in controlengineering. The rapid development of control technology has an impact on all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. In some areas of manufacturing, the elements of a flexible manufacturing system form the key components of the process line. These key components are four-fold: a set of programmable robots and machines, an automated materia- handling system that allows parts to be freely routed and re-routed, a buffer storage system where parts and partly-assembled components can wait until required for further processing and assembly and finally, a supervisory control system. The technology employed to coordinate and control all these components as a working system is usually based on programmable logic controllers. The use of this automation hardware and software in manufacturing is designed to yield significant cost reductions and to enhance quality.
Teamwork is crucial in software engineering. However, recent literature concludes that software engineering graduates have underdeveloped teamwork skills. Instructors wishing to develop teamwork skills are faced with ...
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Teamwork is crucial in software engineering. However, recent literature concludes that software engineering graduates have underdeveloped teamwork skills. Instructors wishing to develop teamwork skills are faced with many teamwork models and a lack of empirical studies that examine their utility in higher education. We conducted an exploratory study to examine teamwork components of attitudinal, behavioral, and cognitive psychological facets (collectively called ABCs) in eight undergraduate software engineering teams composed of 14 to 17 members. We answered two research questions: Which teamwork components were the least developed at the beginning of the project, and Which teamwork components remained underdeveloped by the end of the project. For each team, we conducted two focus group discussions, and analyzed four sprint retrospective reports during the semester. We synthesize the gathered data to define each team by the presence of teamwork components, development of teamwork components, experienced challenges, average course grades, and project results. Teamwork components that were initially underdeveloped were Mutual performance monitoring, Shared cognitions, Leadership, Communication, Psychological safety and Trust. Two teamwork components that remained underdeveloped were Shared cognitions and Mutual performance monitoring. The answer to our first question highlights teamwork components that instructors should pay attention to in their teamwork-oriented courses. For the second question, we explain the mechanisms that we applied to develop teamwork components and highlight which components were the most challenging to develop, as well as in which period instructors should provide the most support to students. engineering education researchers might benefit from our methodological design, measurement instruments, and raw data to conduct studies in their contexts.
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