This paper presents a novel design of adaptive sliding mode observer. An adaptive sliding mode observer with a proportional and integral sliding surface is derived and the stability condition of the closed-loop system...
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This paper presents a novel design of adaptive sliding mode observer. An adaptive sliding mode observer with a proportional and integral sliding surface is derived and the stability condition of the closed-loop system is established. The proposed adaptive sliding mode observer could reconstruct the unmeasured states and estimate unknown system parameters in real time despite parameter variations and external disturbance. The numerical simulation of MEMS gyroscope m is investigated to verify the effectiveness of the proposed control scheme.
In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated...
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In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters. To overcome premature of standard PSO algorithm, a modified PSO (MPSO) based on partial particle moving direction changing was proposed. It holds on the proprieties of simple structure, fast convergence, and at the same time, enhances the variety of the populations, extends the search space, and does not increase the computation complexity. Simulation results show that the algorithms are effective and the designed controller has excellent performance.
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval computing etc, is a way of dealing with in...
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Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval computing etc, is a way of dealing with incomplete, unreliable, uncertain fuzzy knowledge. In recent years, it is becoming one of the main study streams in Artificial Intelligence (AI). With selecting the size structure flexibly, eliminating the incompatibility between clustering results and priori knowledge, completing the clustering task effectively, cluster analysis based on GrC attracts great interest from domestic and foreign scholars. In this paper, starting from the development of GrC, firstly, the main newly achievements about clustering and GrC are researched and summarized. Secondly, principle of granularity in clustering, the effective clustering algorithms with the idea of granularity as well as their merits and faults are analyzed and evaluated from the point view of rough set, fuzzy sets and quotient space theories. Finally, the feasibility and effectiveness of handling high-dimensional complex massive data with combination of these theories is outlooked.
This paper proposed a method for entity answer extraction, which examined three levels of relevance, including document, passage and entity. The entity answer extraction system and homepage recognition are also descri...
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In this paper, we propose open bisimulations for open processes in higher order π-calculus. The equivalence of open bisimulations and other bisimulations for open processes is proved. Furthermore, we present a symbol...
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In this paper, we propose open bisimulations for open processes in higher order π-calculus. The equivalence of open bisimulations and other bisimulations for open processes is proved. Furthermore, we present a symbolic operational semantics of higher order open processes, and give some symbolic bisimulations for higher order processes. The relation between symbolic bisimulations and other bisimulations is also studied. At last, we introduce a higher order π-calculus with sum and conditional operators, then we study open bisimulations and symbolic bisimulations for this calculus.
On the basis of the architecture of IP-Based Wireless Network, a coordinated call admission control mechanism (CCAC) was presented, providing a stream for real-time applications to overcome the weakness of the transfe...
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On the basis of the architecture of IP-Based Wireless Network, a coordinated call admission control mechanism (CCAC) was presented, providing a stream for real-time applications to overcome the weakness of the transfer protocol which cannot meet the need of end-to-end eoS mechanisms because the contexts were only transferred between the previous and new access routers. We described the proposed integrated wireless network architecture and the CCAC mechanism, respectively. At last, we analyzed the performance of our CCAC mechanism.
The demand for statistical machine translation on mobile terminals is increasing rapidly, but translation speed is restricted by the embedded processors without a floating-point unit. This paper proposes an approach t...
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The demand for statistical machine translation on mobile terminals is increasing rapidly, but translation speed is restricted by the embedded processors without a floating-point unit. This paper proposes an approach to convert floating-point numbers into fixed-point numbers for SMT decoding on mobile terminals in order to reduce the impact of the processors without a floating-point unit on translation speed. The experiments based on PC and mobile terminal show that this approach ensures the quality of translation and the speed of fixed-point arithmetic operations is 135.6% faster than that of floating-point arithmetic operations. Therefore, this approach can efficiently improve translation speed of SMT systems on mobile terminals with weak ability in floating-point arithmetic operations.
In general, an adaptive fuzzy PID controller (AFPIDC) means that the PID parameters are adjusted by fuzzy rules in real-time. In this paper, the controller is functionally divided into three operating units which are ...
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In general, an adaptive fuzzy PID controller (AFPIDC) means that the PID parameters are adjusted by fuzzy rules in real-time. In this paper, the controller is functionally divided into three operating units which are the proportional operating unit, the integral operating unit, and the derivative operating unit. The inputs of the controller are composes of two kinds of signals. The main input signal is the weighted system error and the weights are the traditional PID parameters with fixed gains tuned in a traditional way. The auxiliary input signal is produced by a fuzzy logic controller. Since the output of the fuzzy logic controller is changeable, the gain of the controller is adjusted implicitly and adaptively. The simulation results show the validity of the proposed approach.
Based on some special advantages of both rough set analysis in knowledge reduction and formal concept analysis in formal concept representation, a novel hybrid approach for incomplete knowledge system mining based on ...
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The dc current rejection of a single phase half-bridge grid-connected inverter with a line-frequency isolation transformer is researched in this paper. The impact of the magnetic dc bias of the transformer is given ou...
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