Many design problems, including control design problems, involve infinite dimensional constraints of the form ϕ(z, α) ≤ 0 for all α ε A where α denotes time or frequency or a parameter vector. In other design pro...
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Many design problems, including control design problems, involve infinite dimensional constraints of the form ϕ(z, α) ≤ 0 for all α ε A where α denotes time or frequency or a parameter vector. In other design problems, tuning or trimming of certain parameters, after manufacture of the system, is permitted; the corresponding constraint is that for each α in A there exists a value τ (of the tuning parameter) in a permissible set T such that φ(z,α,t) < 0. New algorithms for solving design problems having such constraints are described.
This paper collects a number of scattered results on the solution of both finite and infinite systems of inequalities into a unified whole. In particular, it presents two methods which solve finite systems of inequali...
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This paper collects a number of scattered results on the solution of both finite and infinite systems of inequalities into a unified whole. In particular, it presents two methods which solve finite systems of inequalities in a finite number of iterations and which use outer approximations techniques for infinite systems of inequalities.
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.
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