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We consider control of multiple luminaires with a central controller and occupancy and light sensors co-located at the luminaires. The sensors periodically provide local occupancy state and illumination information to the central controller. Using this sensor feedback, the central controller determines the dimming levels of the luminaires so as to adapt artificial light output to changing daylight...
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life cycle of process plants, there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with...
This paper proposes a method to facilitate the identification process for a set of configuration parameters to achieve the optimal performance with respect to a benchmark program in HDFS in an automated manner. Performance optimization of Hadoop processes is a tedious yet challenging problem due to the complexity of the systems organization with an extensive list of configuration parameters to be...
Support vector machine has obtained more and more attentions as a new method of machine learning based on the statistic learning theory. At the same time, there are increasing concerns about the fault diagnosis for practical engineering systems. Firstly, many kinds of SVM algorithms will be introduced, such as LS-SVM, LSVM and PSVM and so on. Besides, the advantages and disadvantage of those methods...
In this paper, an innovative unknown input observer (UIO) is developed to estimate the faults of the system subjected to faults and process disturbances. By representing the concerned faults as auxiliary states, an augmented system is constructed. By designing an unknown input observer for the augmented system, the simultaneous estimations of the system states and concerned faults can be obtained...
Wind turbine system is a safety-critical system, which has the demand to improve the operating reliability and reducing the cost caused by the shut-down time and component repairing. As a result, condition monitoring and fault diagnosis have received much attention for wind turbine energy systems. Noticing that environmental disturbances are unavoidable, therefore how to improve the robustness of...
The complex interactions between multistage manufacturing processes and different processing technologies is difficult to express with unified mathematical expression. In this paper, the reliability robust design model was studied based on directed topological graph. This model takes the quality characteristic variation loss in the manufacturing process as the objective function, with process sequence...
The continuous change in the manufacturing world is demanding more flexible, responsive and accurate planning tools, which are able to assist the decision-makers to take tactical and strategic decisions on short notice with a high level of confidence. For this purpose, these tools should dynamically explore different operative scenarios in the planning procedure and produce information about key performance...
The Future Internet (FI) era dictates the deployment of high complexity systems having a variety of properties such as adaptivity, self configuration and self optimization. This paper discusses on the design and deployment of an autonomic management framework, targeting real-time optimization of operational properties in a smart building cognitive environment. The architecture of an autonomous smart...
The development of Systems-of-Systems (SoS) architectures is challenged by the inherent characteristics of SoS such as operational independence, heterogeneity of constituent systems, emergent behavior and large-scale distribution. At present, the resulting complexity restricts the design space exploration of SoS architectures to be focused on cost and functionality. In this paper we extend our previous...
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