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...
详细信息
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 ...
详细信息
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...
详细信息
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.
Hyperspectral (HS) imaging is a valuable technique for accurately classifying materials because of the abundance of spectral information and high resolution it provides. However, the characteristics of Hyperspectral i...
详细信息
Hyperspectral (HS) imaging is a valuable technique for accurately classifying materials because of the abundance of spectral information and high resolution it provides. However, the characteristics of Hyperspectral images (HSI), such as high-dimensional features and information redundancy, pose significant challenges to data processing. Traditional dimensionality reduction methods often have information loss, high computational complexity, and easy to ignore the strong correlation between HSI spectral bands when dealing with HSI data. Although other methods can achieve satisfactory classification performance, they do not consider the dimensionality reduction of HSI, and they focus on the model performance, which limits further improvement in classification performance. This paper proposes a transformer-based framework called “SpectrumRecombineFormer” (SRF), which is composed of two key modules, namely “Spatial Spectral ReCombination” (SSRC) and “Cross-layer Fusion” (CF). The SSRC is capable of utilizing both adjacent and non-adjacent spectrums to generate the spatial-sequential perceptive representations, which alleviates the effect of the strong correlation between HSI spectral bands. The CF can avoid the loss of information during the feed-forward procedure among layers. Extensive experiments on five existing datasets (widely-adopted Indian Pines, Houston2013, Pavia University, Salinas and KSC) demonstrate the capability of our proposed method to address the above mentioned challenges. Both quantitative and qualitative experimental ablation studies, including visualization results, reveal that the proposed SRF method can successfully and efficiently classify hyperspectral images and surpass the other state-of-the-art methods. For access to the source code, please visit https://***/kangpeilun/SRF-HSI-Classification-master.
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...
详细信息
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 paper gives a brief review of the design of the machine GIER (42-bit words, 1-k core store, 12-k drum store, 50-microsecond fixed point, 100-microsecond floating, add time) and its programming systems. The princi...
详细信息
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...
详细信息
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.
暂无评论