The branch misprediction penalty is a major performance limiter and a major cause of wasted energy in high-performance processors. The diverge-merge processor reduces this penalty by dynamically predicating a wide ran...
详细信息
The branch misprediction penalty is a major performance limiter and a major cause of wasted energy in high-performance processors. The diverge-merge processor reduces this penalty by dynamically predicating a wide range of hard-to-predict branches at runtime in an energy-efficient way that doesn't significantly increase hardware complexity or require major ISA changes.
computers enables programmers to fashion their own universes, choosing their own sets of 'physical laws.' Although, may computer-based systems seem to have their physics well debugged. Some collaborative virtu...
详细信息
computers enables programmers to fashion their own universes, choosing their own sets of 'physical laws.' Although, may computer-based systems seem to have their physics well debugged. Some collaborative virtual environments allow their users to 'program' For example, LambdaMOO at Xerox PARC allows users to make new kinds of objects with new behaviors. In virtual Kansas, nearly anything can be reprogrammed, including the computations that display objects and the mechanisms underlying arithmetic. Indeed, Kansas is a multiuser programming environment for the Self language from which it is built. In Kansas, two plus two can equal five, at least the resulting inconsistency brings the entire system crashing to halt. In cases in which the attempt to restart Kansas fails, the watcher knows to create a new world -- Oz -- with a debugger on the broken Kansas process. Users find themselves suddenly thrown into Oz, where they can collaborate in repairing the problem and then resume and reenter Kansas.
The problem of fault detection for switched systems with quantization effects is investigated in this paper. The dynamic quantizer introduced here is composed of a dynamic scaling and a static quantizer. Subsequently,...
详细信息
The problem of fault detection for switched systems with quantization effects is investigated in this paper. The dynamic quantizer introduced here is composed of a dynamic scaling and a static quantizer. Subsequently, a novel fault detection scheme, which fully considers the static quantizer range and quantizer error, is proposed. Furthermore, sufficient conditions for fault detection filter are given in the framework of linear matrix inequality, and the filter gains and the static quantizer range are obtained by a convex optimized problem. Finally, the presented technique is validated by two examples, and simulation results indicate that the proposed method can effectively detect the fault. (C) 2016 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
In this paper, the fault diagnosis (FD) and fault-tolerant tracking control (FTTC) problem for a class of discrete-time systems with faults and delays in actuator and measurement is investigated. In the first step, a ...
详细信息
In this paper, the fault diagnosis (FD) and fault-tolerant tracking control (FTTC) problem for a class of discrete-time systems with faults and delays in actuator and measurement is investigated. In the first step, a discrete delay-free transformation approach is introduced for an constructed augmented system such that the two-point-boundary-value (TPBV) problem with advanced and delayed items can be avoided. Then, the optimal fault-tolerant tracking controller (FTTC) is proposed with respect to an equivalent reformed quadratic performance index. Moreover, by using the real-time system output rather than the residual errors, a reduced-order-observer-based fault diagnoser for the augmented system is designed to diagnose faults in actuator and measurement, and solve the physically unrealizable problem of proposed OFTTC. Finally, the effectiveness of the proposed fault diagnoser and OFTTC is illustrated by a realistic design example for industrial electric heater. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
The article discusses the role of using advanced triggers in identifying problems from design verification through to debugging and troubleshooting complex designs. Sophisticated triggers are available in the updated ...
详细信息
The article discusses the role of using advanced triggers in identifying problems from design verification through to debugging and troubleshooting complex designs. Sophisticated triggers are available in the updated generation of oscilloscopes. A single trigger event is not enough to define the circuit behavior that forms the event of interest in the most demanding applications. Serial pattern triggering gives the ability to acquire unusual bit sequences on serial-bus designs.
The article discusses the challenges posed by interactions in complex multicore processors and the need to apply proven queue- and traffic-management techniques to manage them. Virtualization of on-chip resources repo...
详细信息
The article discusses the challenges posed by interactions in complex multicore processors and the need to apply proven queue- and traffic-management techniques to manage them. Virtualization of on-chip resources reportedly allows the treating of a resource by each application as if the latter solely owned it. It is stated that the software virtualization layer is accelerated by hardware-based virtualization, which enhances development by way of simplified debugging and increased system reliability.
This paper focuses on the fault detection (FD) problem for a class of uncertain switched systems with time-varying delays. The FD framework consists of the fault detection filters (FDFs) and a switching law. The resul...
详细信息
This paper focuses on the fault detection (FD) problem for a class of uncertain switched systems with time-varying delays. The FD framework consists of the fault detection filters (FDFs) and a switching law. The resulting FDFs are with varying gains, which are expressed in the form of a linear parameter-varying (LPV) switched system. In special case, the proposed FDFs can be converted into the existing ones with fixed gains. The switching law satisfies the mode-dependent average dwell time (MDADT), which guarantees that each subsystem of the overall switched system is allowed to have its own average dwell time (ADT). Thus, the proposed design method leads to less conservatism and provides more flexibility. Delay-dependent conditions for the existence of the FDFs associated with the corresponding MDADT switching are formulated in terms of a set of linear matrix inequalities (LMIs), which ensure the exponential stability as well as a prescribed weighted L-2-gain for the errors between the residuals and faults. Two examples are given to illustrate the effectiveness of the theoretical results. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Conventional fault detection and isolation technology cannot fully ensure system redundancy features when sensors experience drift in a redundant inertial navigation system. A new fault tolerant control method employs...
详细信息
Conventional fault detection and isolation technology cannot fully ensure system redundancy features when sensors experience drift in a redundant inertial navigation system. A new fault tolerant control method employs state estimation and state feedback techniques to compensate the sensor drift. However, the method is sensitive to measurement noise characteristics, and the performance of the method nearly depends on the feedback gain. This paper proposes an improved fault tolerant control algorithm, which employs an adaptive extended Kalman particle filter (AEKPF) to deal with unknown noise characteristics and model inaccuracies. In addition, a drift factor is introduced in the improved fault tolerant controlin order to reduce the dependence of compensation system on the feedback gain. Simulation results show that the improved fault tolerant control algorithm can effectively correct the faulty sensor even when the multiple erroneous sensors are producing faulty outputs simultaneously. Meanwhile, the AEKPF is able to solve the problem of unknown non-Gaussian noise characteristics. Moreover, the feedback gain is significantly improved by the drift factor.
The article discusses computer memory models in the context of parallel programming, focusing on the ways in which multithreaded applications involving data races can lead to a mismatch between hardware and software. ...
详细信息
The article discusses computer memory models in the context of parallel programming, focusing on the ways in which multithreaded applications involving data races can lead to a mismatch between hardware and software. Topics addressed include the importance of data-race-freedom and interleaving semantics, and the relationship between data races, concurrency safety and debugging is also discussed. It is noted that shared variables and threads were supported by most operating systems even before the rise of multicore processing, and an argument is presented that the relevant memory models need to be fundamentally redefined, in order to provide a better match between the hardware and software involved.
At present, the solar photovoltaic system is extensively used. However, once a fault occurs, it is inspected manually, which is not economical. In order to remedy the defect of unavailable fault diagnosis at any irrad...
详细信息
At present, the solar photovoltaic system is extensively used. However, once a fault occurs, it is inspected manually, which is not economical. In order to remedy the defect of unavailable fault diagnosis at any irradiance and temperature in the literature with chaos synchronization based intelligent fault diagnosis for photovoltaic systems proposed by Hsieh et al., this study proposed a chaotic extension fault diagnosis method combined with error back propagation neural network to overcome this problem. It used the nn toolbox of matlab 2010 for simulation and comparison, measured current irradiance and temperature, and used the maximum power point tracking (MPPT) for chaotic extraction of eigenvalue. The range of extension field was determined by neural network. Finally, the voltage eigenvalue obtained from current temperature and irradiance was used for the fault diagnosis. Comparing the diagnostic rates with the results by Hsieh et al., this scheme can obtain better diagnostic rates when the irradiances or the temperatures are changed.
暂无评论