With the development of cloud computing technology, profound changes have taken place in all areas of society. Through the analysis of the characteristics of the cloud computing, with the demand of the Yellow River fl...
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With the development of cloud computing technology, profound changes have taken place in all areas of society. Through the analysis of the characteristics of the cloud computing, with the demand of the Yellow River flood control , the application of cloud computing in the Yellow River flood controlsystem and its architecture are put forward ,the architecture mainly consist of the infrastructure security considerations are made to cloud computing that is applied to the Yellow River flood control. Finally, prospects and direction of the Yellow River flood controlsystem's development are prospected in cloud computing environment.
To improve the possibility of recovering the status that the trains are running as arranged by the timetable, a hybrid timed event graph model is presented. We analyze the discrete and continuous events, determining t...
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This paper presents a new approach of reactive power and voltage control for power system. Reactive power control plays a major role in operation and control of power system. The objectives of the proposed approach ar...
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A wireless network controlsystem (WNCS) is a controlsystem whose network is closed over a wireless channel. The control performance can be degraded due to the imperfection of the wireless network. This paper studies...
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ISBN:
(纸本)9781479928446
A wireless network controlsystem (WNCS) is a controlsystem whose network is closed over a wireless channel. The control performance can be degraded due to the imperfection of the wireless network. This paper studies the co-design of Media Access control (MAC) layer parameters and sampling period of a model-based network controlsystem (MB-NCS). In particular, a stability condition of MB-NCS in terms of packet loss, packet delay and sampling period is established. An adaptive tuning algorithm is proposed to find the optimum parameter set, which can guarantee the stability of controlsystem and minimize the energy consumption. The results show that the co-design approach outperforms traditional network controlsystem in terms of energy reduction and is robust against time-varying network traffic.
To guarantee the vision of Quality of Service (QoS) different goals in terms of SLAs have to be dynamically met between the Cloud provider and the customer (Breskovic et al., 2013). This SLA enactment should involve l...
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ISBN:
(纸本)9781479976904
To guarantee the vision of Quality of Service (QoS) different goals in terms of SLAs have to be dynamically met between the Cloud provider and the customer (Breskovic et al., 2013). This SLA enactment should involve little human-based interaction in order to guarantee the scalability and efficient resource utilization of the system. To achieve this we start from Autonomic computing, examine the autonomic control loop and adapt it to govern Cloud computing infrastructures. We propose an approach to manage Cloud infrastructures by means of Autonomic computing. The basic structure of the autonomic systems is represented by a control loop that monitors (M) Cloud parameters, analyses (A) them, plans (P) actions and executes (E) them; the full cycle is known as MAPE. MAPE-K loop stores knowledge (K) required for decision-making in a knowledge base (KB) that is accessed by the individual phases. This talk addresses the research question of finding a suitable KM system (i.e., a technique of how stored information should be used) and determining how it interacts with the other phases for dynamically and efficiently allocating resources.
The complementary characteristics of the Strapdown Inertial Navigation system (SINS) and external non-inertial navigation aids like Global Positioning system (GPS) and Celestial Navigation system (CNS) make the integr...
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ISBN:
(纸本)9783037857335
The complementary characteristics of the Strapdown Inertial Navigation system (SINS) and external non-inertial navigation aids like Global Positioning system (GPS) and Celestial Navigation system (CNS) make the integrated navigation system an appealing and cost effective solution for various applications. SINS exhibits position errors owing to imperfection in initialization of the inertial measurement unit (IMU) and the inherent accelerometer biases and gyroscope drifts. SINS also suffer from diverging azimuth errors and an exponentially increasing vertical channel error. Pitch and roll errors also exhibit unbounded growth with time. To mitigate this behavior of SINS, periodic corrections are opted for through measurements from external non-inertial navigation aids. These corrections can be in the form of position fixing, velocity fixing and/or attitude fixing from external aids like GPS, GLONASS (Russian Satellite Navigation system), BEIDU(Chinese Satellite Navigation system) and Celestial Navigation systems (CNS) etc. In this research work GPS and CNS are used as external aids for SINS and the navigation solutions of all three systems (SINS, GPS and CNS) are fused using Federated Kalman Filter (FKF). The FKF differs from the conventional Central Kalman Filter (CKF) because each measurement is processed in Local Filters (LFs), and the results are combined in a Master Filter (MF). The SINS acts as a cardinal system in the combination, and its data is available as measurement input for the local filter and master filter. In this research work, information from the GPS and the CNS are dedicated to the corresponding LFs. Each LF provides its solutions to the master filter where all information is fused together forming a global solution. Simulation for the proposed architecture has validated the effectiveness of the scheme, by showing the substantial precision improvement in the solutions of position, velocity and attitude as compared to the pure SINS or any other stan
This paper presents the development and validation of an automatic steering controller that has been successfully implemented on a 18.3-m articulated bus for revenue service in Eugene, Oregon, USA. The automated steer...
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This paper presents the development and validation of an automatic steering controller that has been successfully implemented on a 18.3-m articulated bus for revenue service in Eugene, Oregon, USA. The automated steering system provides both lane keeping and S-curve precision docking on a 4-km-long narrow and curving urban segment with six stations and mixed traffic lanes while the operator controls the speed. The objective of deployment with an extended period of revenue service (carrying passengers) elevated the system safety and performance requirements. To meet the requirements, the controller needed to address accuracy, robustness, comfort, and fault tolerant capabilities. The baseline high-gain controller adopted for the automated bus takes the structure of the steering mechanism of a human driver with optimized parameters. The fault tolerant control incorporates a family of Kalman filters to sustain the automation after part of the sensing system fails. The resultant system achieved all performance requirements and the revenue service started in June, 2013.
In this research study, direct torque and flux control of induction motor drive (IMD) using artificial intelligence based speed control loop (SCL) to minimize the ripple contents of the stator current, flux and electr...
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In recent years, although there are many researches on bilateral control, there is only little research on improvement of operationality. It will be so effective for operators to improve the operationality of the bila...
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In this paper, a Proportional-Integral-Derivative (PID) controller is designed for an Automatic Voltage Regulator (AVR) system, so that faster settling to rated voltage is ensured and the instability is avoided. AVR i...
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