One approach based on AC20-128A is presented in order to assess the risk caused by uncontained engine rotor failure (UERF). In this approach, the risk assessment procedure includes hazard identification and hazard qua...
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A suboptimal approach to distributed robust MPC for uncertain systems consisting of polytopic subsystems with coupled dynamics subject to both state and input constraints is proposed. The approach applies the dynamic ...
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Current automation systems need to be able to cope with the continuously changing requirements of the applications in terms of complexity, extensibility and dynamism. To match these challenging requirements, modern au...
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Current automation systems need to be able to cope with the continuously changing requirements of the applications in terms of complexity, extensibility and dynamism. To match these challenging requirements, modern automation systems need to incorporate new software engineering techniques. These techniques must provide to the automation systems additional abilities such as diagnosis and reconfiguration. This paper describes an approach for the design of a Multi-Agent system (MAS) based supervisory architecture towards the design of reconfigurable automation systems; the reconfigured system will meet Quality of Service (QoS) requirements. In particular, in this paper the core of the supervisory architecture is presented. It is based on refreshing states and moving functionalities among the Programmable Logic controllers (PLCs). Besides, the agents negotiate if a PLC failure is detected.
This paper shows a comparison of different methods based on genetic algorithms in order to find a computational cost efficient path planning strategy for unmanned aerial systems (UAS). For that purpose, two different ...
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Recently the control methods based on disturbance rejection have largely renewed our understanding of automaticcontrol, especially the role of feedforward control. With the renewed understanding, this work presents a...
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Recently the control methods based on disturbance rejection have largely renewed our understanding of automaticcontrol, especially the role of feedforward control. With the renewed understanding, this work presents a feedforward and feedback approach for control of general dynamic systems under a state tracking framework. This is realized by introducing a fictitious system model and employing a proper state and disturbance estimator. The resultant control scheme embodies a close cooperation between feedforward and feedback controls: Feedforward control rejects the general disturbance and embeds a reference state trajectory, whilst feedback control cancels the fictitious dynamics and enforces desired tracking error dynamics. A notable advantage of the approach is that control designs of linear and nonlinear systems can follow a common routine and the closed-loop stability is guaranteed under standard conditions.
With the wide application of object-oriented software development technology and the requirement of software test automation, model-driven testing techniques are getting more and more attention in academia and the ind...
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ISBN:
(纸本)9781784660543
With the wide application of object-oriented software development technology and the requirement of software test automation, model-driven testing techniques are getting more and more attention in academia and the industry. Model-driven testing techniques can not only improve the test efficiency, but also improve the automation of test case generation, improve test failure identification, as well as to evaluate the test results effectively. Through summarizing and analyzing current model-driven testing methods, traditional testing methods don't have the mechanism to ensure the correctness of the software testing requirements model, and the optimization method based on a test case is not perfect. Therefore, this paper proposes an improvement of the model-driven testing technique, which combines a model check technique and mutation testing with a traditional modeldriven testing framework. The proposed technique can not only inherit the traditional advantages of model-driven testing methods, but also put forward a new testing technology according to the characteristics of the flight controlsystem.
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques...
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques helps to meet these demanding requirements, but at the same time increase the complexity of the systems. This paper presents a supervisor architecture that allows maintaining the availability of a controlsystem in spite of failures such as a node crash, by means of reconfigurations at the control level. To do this, the advantages that Model-Driven Development technology provides have been explored.
This paper presents the development of Quadriceps muscle model by using Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference system (ANFIS) based on Functional Electrical Stimulation (FES). The impacts o...
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This paper presents the development of Quadriceps muscle model by using Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference system (ANFIS) based on Functional Electrical Stimulation (FES). The impacts of the output torque with different stimulation parameters (frequency, pulse width and sampling time) are investigated. These parameters will be used to develop the paraplegic muscle models. Muscle models developed are validated with the clinical data to evaluate the accuracy of the output torque predicted compare to the actual paraplegic muscle torque. From the study, ANN is found to be the most accurate model compare to ANFIS with the value of mean squared error of 0.3758. Both developed models in this study can be used in a various control strategies to control FES parameters during rehabilitation proses using FES.
The continuous changes on the market and customer demands have forced modern automation systems to provide more strict Quality of Service (QoS) requirements such as load balance or full availability of the control sys...
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ISBN:
(纸本)9781479966509
The continuous changes on the market and customer demands have forced modern automation systems to provide more strict Quality of Service (QoS) requirements such as load balance or full availability of the controlsystem, among other characteristics. In order to cope with these demanding requirements, modern automation systems have started to incorporate novel design approaches which include reconfiguration mechanisms. Following this trend, this paper presents the use of MDE techniques and technologies, to help in the definition of the controlsystem of reconfigurable automation plants. Directly from the model-based design, a model-based tool is derived that provides support for the generation of the elements that compose the reconfigurable controlsystem.
This paper proposes a new surface recognition method by a robot. Nowadays, demands for "Real World Haptics" are increasing. Tactile sensation which is acquired by rubbing motion is important for haptics. The...
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ISBN:
(纸本)9781479940318
This paper proposes a new surface recognition method by a robot. Nowadays, demands for "Real World Haptics" are increasing. Tactile sensation which is acquired by rubbing motion is important for haptics. Therefore, surface recognition based on haptic information is focused in this paper. First, the surface sensing is needed to collect feature values. There are some researches which focus on sensing and analysis of surface tactile information by using sensors with robots. However, there are some disadvantages of using sensors such as signal noise. From that reason, this paper proposes getting surface haptic information without sensors at the tip of the robot. Second, a pattern recognition method needs to be applied for surface recognition. There are some pattern recognition methods. Self-organizing maps (SOM) is one of the solutions. SOM is able to summarize high dimensional data to low dimension with preserving the topological properties of data. SOM is suitable for multi-class recognition. From these reasons, this paper proposes the surface recognition based on haptic information using SOM. Multi class surface recognition is achieved by the proposed method. The validity of the proposed method was confirmed through 7 surface recognition experiments.
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