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Study on distributed internal synchronization in a LAN network

Study on distributed internal synchronization in a LAN netwo...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Yang, Lei Lin, Hu Zheng, Liaomo Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Anhui Peoples R China Chinese Acad Sci Shenyang Inst Comp & Technol Shenyang Peoples R China

ISBN: (纸本)9781467358934

To meet rising demands of synchronization precision in distributed nodes in LAN network, a specialized scheme is proposed based on the intermediate-level modeling for initial synchronization and periodical resynchronizations with basic concurrency control and tight bounds. Several representative threads are designed and well scheduled with definite and thorough functional partitioning inside to create a fast and efficient circumstance for communication between nodes. An experimental realization based on RT Linux kernel and corresponding measurements are accomplished. The results indicate that in a small-scale distributed environment, the nodes are able to be well synchronized during in the long run with hundreds of resynchronizations and the deviations are significantly limited in a reasonable range. The proposed scheme effectively promotes the performance of dock synchronization in the LAN network.

关键词： Linux concurrency control local area networks synchronisation

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Minimal Overshoot Direct Torque control for Permanent Magnet Synchronous Motors Using Hybrid Bacteria Foraging-Particle Swarm Optimization

Minimal Overshoot Direct Torque Control for Permanent Magnet...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Bayoumi, Ehab H. E. Higher Colleges Technol ADMC Dept Elect & Elect Engn Technol Abu Dhabi U Arab Emirates

ISBN: (纸本)9781467358934

This paper presents a robust torque, flux and speed controller's design method for permanent magnet synchronous motor (PMSM) drive using Direct Torque control (DTC). A simple algorithm is presented to adjust the parameters of torque, flux and speed controllers. This mini-max optimization problem is solved using Hybrid Bacteria Foraging-Particle Swarm Optimization Approach (BF-PSO). The solution thus obtained is global optimal and robust. The proposed technique eliminates common problems including;torque ripples, low speed and integration drift. As well as it characterized by fast tracking capability, minimal overshoot responses, and robust to load disturbances and low speed operation. Results prove the effectiveness and viability of the proposed technique.

关键词： bacteria foraging optimization particle swarm optimization minimal overshoot PI controller PMSM drive direct torque control

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Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response

Modeling and Analyzing Technical Systems as Complex Networks...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Geiger, Andreas Kroll, Andreas Univ Kassel Measurement & Control Dept D-34125 Kassel Germany

ISBN: (纸本)9781467358934

"Complex networks" is the term for a research area where complex systems are modeled by a graph to analyze their structural behavior. They are mostly used in the areas of social sciences, biology and physics. For example, complex networks are a proper method to describe and analyze the non-trivial characteristics depending on the interconnection in a society or between human organs. In the context of computational intelligence, this paper introduces an idea to transfer the methods of the area of complex networks to technical systems, and, furthermore, enhance them to permit analyzing dynamic behavior. As a basis for the method transfer a transfer-function-based graph is presented which allows modeling technical systems in the same way as complex networks. The potential to detect dynamical behavior, in addition to structural behavior, is demonstrated by a new algorithm that detects inverse response in interconnected systems based on methods of complex networks. The introduced algorithm provides a qualitative answer if inverse response behavior is possible between a pair of input and output of a system. Finally, two case studies are used to demonstrate the algorithm.

关键词： complex networks graph theory interconnected systems network theory (graphs) transfer functions

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Design of Adaptive Moving-Target Tracking control for Vision-Based Mobile Robot

Design of Adaptive Moving-Target Tracking Control for Vision...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Lin, You-Wei Wai, Rong-Jong Yuan Ze Univ Dept Elect Engn Chungli 32003 Taiwan

ISBN: (纸本)9781467358934

This study constructs an adaptive moving-target tracking control (AMTC) scheme via a dynamic Petri recurrent-fuzzy-neural-network (DPRFNN) for a vision-based mobile robot with a tilt camera. First, a continuously adaptive mean shift (CAMS) algorithm is adopted for the moving-object detection, and a model-based conventional sliding-mode control (CSMC) strategy is introduced. Moreover, it further designs a model-free AMTC scheme with a DPRFNN for imitating the CSMC strategy for relaxing the control design dependent on detailed system information and alleviating chattering phenomena caused by the inappropriate selection of uncertainty bounds. In addition, a switching path-planning scheme plus the AMTC is designed without detailed environmental information, large memory size and heavy computation burden for the obstacle avoidance of a mobile robot. Furthermore, numerical simulations are given to verify the effectiveness of the proposed AMTC scheme under different target tracking, and its superiority is indicated in comparison with the CSMC system.

关键词： Petri nets fuzzy neural nets mobile robots object detection path planning recurrent neural nets robot vision target tracking variable structure systems

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Robust Output Feedback control of T-S Fuzzy Time-delay Systems

Robust Output Feedback Control of T-S Fuzzy Time-delay Syste...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Chiu, Chian-Song Yang, Wen-Tsung Chiang, Tung-Sheng Chung Yuan Christian Univ Dept Elect Engn Chungli 32023 Taiwan Chien Hsin Univ Sci & Technol Dept Elect Engn Chungli 320 Taiwan

ISBN: (纸本)9781467358934

This paper proposes output feedback control for uncertain T-S fuzzy systems with state and input delays. First, a fuzzy observer-based dynamic control method is introduced for stabilizing uncertain time-delay fuzzy systems. Based on the dynamic control scheme, the input delay is decoupled with the system states, so that the stability condition becomes simpler. Then, the robust stability conditions are derived and converted to solving linear matrix inequality problems (LMIPs) by a novel Lyapunov function. In turn, the controller and observer gains are able to be separately designed even in the presence of modeling uncertainty, state delay, and input delay. In comparison with current literatures, the controlled states and state estimation errors are guaranteed to be asymptotically stable with more relaxed conditions on the time delays. Numerical simulation and comparison results demonstrate the expected performance.

关键词： time-delay fuzzy system LMI output feedback uncertainty

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Fixed-Order H_∞ Loop-Shaping Synthesis: a Time Domain Approach

Fixed-Order H<sub>∞</sub> Loop-Shaping Synthesis: a Time Do...

引用

3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Feyel, Philippe Duc, Gilles Sandou, Guillaume Sagem Def & Secur Safran Grp Optron & Def Div Massy France SUPELEC Syst Sci E3S Dept Control Gif Sur Yvette France

ISBN: (纸本)9781467358934

This work deals with a new approach of loop-shaping H-infinity synthesis based on the Particle Swarm Optimization (PSO) algorithm. Indeed, such stochastic algorithms are interesting to solve problems based on complex industrial specifications and so seem to be particularly well suited to optimal robust controller synthesis. In this work we investigate the optimal weight tuning along a fixed order controller computation without any structural assumption on the searched filters except of course their order. The absence of any structural assumption is important to avoid affecting the quality of the solution towards a complex specification and allows us to reduce the synthesis problem to a simple time domain one with static scalings in place of frequency weights. Using a version of PSO well adapted for high dimensional problems, we succeed in computing a fixed-order controller for complex industrial specifications toward a generic non constraint fitness with quite reasonable computing time.

关键词： Loop-shaping robust control particle swarm optimization gap-metric robustness

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Automated Inferential Measurement System for Traffic Surveillance Enhancing Situation Awareness of UAVs by computational intelligence 4

Automated Inferential Measurement System for Traffic Surveil...

引用

ieee symposium on computational intelligence in control and automation (cica)

作者： Rattadilok, Prapa Petrovski, Andrei Robert Gordon Univ Sch Comp Sci & Digital Media Aberdeen Scotland

ISBN: (纸本)9781479945306

An adaptive inferential measurement framework for control and automation systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making inferences related to the presence of anomalies in the surveillance data with the help of statistical, computational and clustering analysis. Moreover, the performance of the ensemble of these tools can be dynamically tuned by a computational intelligence technique. The experimental results have demonstrated that the framework is generally applicable to various problem domains and reasonable performance is achieved in terms of inferential accuracy. computational intelligence can also be effectively utilised for identifying the main contributing features in detecting anomalous data points within the surveillance data.

关键词： computational intelligence inferential measurement situation awareness data anomalies traffic surveillance unmanned aerial vehicles

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Discrete Direct adaptive ELM controller for seismically excited non-linear base-isolated buildings

Discrete Direct adaptive ELM controller for seismically exci...

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3rd ieee symposium on computational intelligence in control and automation (cica)

作者： Subasri, R. Natarajan, A. M. Suresh, S. Kongu Engn Coll Dept EIE Erode Tamil Nadu India Bannari Amman Inst Technol Sathy Tamil Nadu India Nanyang Technol Univ Sch Comp Engn Singapore Singapore

ISBN: (纸本)9781467358934

Structures with fixed-base will produce high accelerations and inter-storey drifts and move laterally during earthquake. The presence of base isolation devices between ground and the structure, reduces the structural vibrations. To maintain the seismic response of structures within safety, service and comfort limits, the combination of base isolators and feedback controllers have been proposed in recent years. This paper proposes a discrete direct adaptive extreme learning machine (ELM) controller for the active control of non linear base isolated building with hysteretic isolation system. The controller is constructed based on a single hidden layer feed forward network and the parameters of the network are adapted using extreme learning machine (ELM) algorithm. In this work, different from the original ELM algorithm the output weights of the network are updated using Lyapunov stability approach, to guarantee the stability of the structure. The performance of the proposed controller is verified on a non-linear three dimensional benchmark base-isolated structure by exciting the structure with three earthquake samples. The result shows that the proposed controller is effective in reducing the seismic responses of the isolation members as well as the superstructure.

关键词： base-isolated building active control direct adaptive control Disrete Lyapunov Extreme Learning Machine

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Evolutionary Fixed-Structure μ-Synthesis 4

Evolutionary Fixed-Structure μ-Synthesis

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ieee symposium on computational intelligence in control and automation (cica)

作者： Feyel, Philippe Duc, Gilles Sandou, Guillaume Sagem Def & Secur Safran Grp Optron & Def Div Massy France SUPELEC Syst Sci E3S Control Dept Gif Sur Yvette France

ISBN: (纸本)9781479945306

This paper proposes to shed a new light on the synthesis problem using the differential evolution algorithm. This algorithm allows optimizing simultaneously the structured controller and the dynamic (or static) D-scalings, which leads to robust performance controllers. This method has been applied successfully to a classical flexible plant control problem. A comparison between the evolutionary approach and the non-smooth optimization one has been envisaged proving the high potential of the proposed method.

关键词： Fixed-structure robust control differential evolution robustness

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Ultra High Frequency Polynomial and Sine Artificial Higher Order Neural Networks for control Signal Generator 4

Ultra High Frequency Polynomial and Sine Artificial Higher O...

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ieee symposium on computational intelligence in control and automation (cica)

作者： Zhang, Ming Christopher Newport Univ Dept Phys Comp Sci & Engn Newport News VA 23606 USA

ISBN: (纸本)9781479945306

New open box and nonlinear model of Ultra High Frequency Polynomial and Sine Artificial Higher Order Neural Network (UPS-HONN) is presented in this paper. A new learning algorithm for UPS-HONN is also developed from this study. A control signal generating system, UPS-HONN Simulator, is built based on the UPS-HONN models. Test results show that, to generate any nonlinear control signal, average error of UPS-HONN models is under 1e-6.

关键词： control Signal control Signal Generator HONN UPS-HONN

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