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A Consensus-Based Distributed Primal-Dual Perturbed Subgradient Algorithm for DC OPF

A Consensus-Based Distributed Primal-Dual Perturbed Subgradi...

引用

international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Yang, Zhongyuan Zou, Bin Zhang, Junmeng Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China

ISBN: (纸本)9789811063640;9789811063633

In this paper, an consensus-based distributed primal-dual perturbed subgradient algorithm is proposed for the DC Optimal Power Flow (OPF) problem. The algorithm is based on a double layer multi-agent structure, in which each generator bus and load bus in electric power grid is viewed as bus agent and connects with the grid by a network agent. In particular, network agents employ the average consensus method to estimate the global variables which are necessary for bus agents to update their generation using a local primal-dual perturbed subgradient method. The proposed approach is fully distributed and realizes the privacy protection. The employment of primal-dual perturbation method ensuring the convergence of the algorithm. simulation results demonstrate the effectiveness of the proposed distributed algorithm.

关键词： Distributed optimization Multi-agent systems Consensus protocols DC optimal power flow Smart grid

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Fault Estimation Observer Design of Nonlinear systems with Actuator Faults

Fault Estimation Observer Design of Nonlinear Systems with A...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Xie, Xiangpeng Liu, Yanan Nanjing Univ Posts & Telecommun Inst Adv Technol Nanjing 210023 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Automat Nanjing 210023 Jiangsu Peoples R China China Three Gorges Univ Hubei Prov Collaborat Innovat Ctr New Energy Micr Yichang 443002 Peoples R China

ISBN: (纸本)9789811063732;9789811063725

This paper introduces a relaxation design of fault estimation observer for some nonlinear dynamical plants by means of the TakagiSugeno method. A featured fuzzy fault estimation observer is produced by utilizing the named maximum-priority-based switching law, which is different from these existing ones. For each enabled switching signal, the appropriate piece of enabled matrices can be produced to explore certain serviceable properties of the considered plants by introducing a piece of matrix-valued variables. Owing to the more useful information of the considered nonlinear plant could be properly updated and effectively employed at each time instant, the conservatism of the given result can be significantly released, at the same time, the result is less restraint than that previous ones. At last, there are some simulation results of the considered nonlinear truck-trailer plant are given to prove the profit of our theoretic approach.

关键词： Fuzzy systems Relaxation method Fault estimation Slack matrix

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Filtering for Stochastic systems with Transmission Delays and Out-of-Order Packets

Filtering for Stochastic Systems with Transmission Delays an...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Liu, Li Yang, Aolei Zhou, Wenju Tao, Qiang Tu, Xiaowei Yue, Jun Ludong Univ Sch Informat Sci & Elect Engn Yantai 264025 Peoples R China Shanghai Univ Sch Mechatron Engn & Automat Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China Shandong Commerce Vocat Coll Dept Student Affairs Yantai 264003 Peoples R China

ISBN: (纸本)9789811063732;9789811063725

The robust filter is designed for a class of discrete-time stochastic systems with data random transmission delays and out-of-order packets in this paper. To drop packet disorders and improve system performance, the systems are modeled synthetically by utilizing the signal choosing scheme of logic zero-order-holder (ZOH). Moreover, a finite horizon robust Kalman-type filter is designed based on the established model, and minimizing error covariance matrices by the augmented statespace model are obtained from estimation variance constraints. And then, a linear delay compensation method is proposed to improve the filter performance by using the re-organized measurement. The simulation results are performed to show the effectiveness of the proposed method.

关键词： Finite horizon filtering Stochastic uncertain systems Transmission delays Out-of-order packets Correlated noises

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A Cognitive Model of Feature Selection and Categorization for Autonomous systems 10th

A Cognitive Model of Feature Selection and Categorization fo...

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10th international conference on Social, Cultural, and Behavioral modeling and Prediction and Behavior Representation in modeling and simulation (SBP-BRiMS)

作者： Martin, Michael Lebiere, Christian Fields, Maryanne Lennon, Craig Carnegie Mellon Univ Pittsburgh PA 15213 USA Army Res Lab Aberdeen MD USA

ISBN: (纸本)9783319602400;9783319602394

We describe a computational cognitive model intended to be a generalizable classifier that can provide context-based feedback to semantic perception in robotic applications. Many classifiers (including cognitive models of categorization) perform well at the task of associating features with objects. Underlying their performance is an effective selection of the features used during classification. This Feature Selection (FS) process is usually performed outside the boundaries of the model that learns and performs the classification task, often by a human expert. In contrast, the cognitive model we describe simultaneously learns which features to use, as it learns the associations between features and classes. This integration of FS and class learning in one model makes it complementary to other Machine-Learning (ML) techniques that automate the FS process (e.g., deep learning methods). But their integration in a cognitive architecture also provides a means for creating a dynamic context that includes disparate sources of information (e.g., environmental observations, task knowledge, commands from humans);this richer context, in turn, provides a means for making semantic perception goal-directed. We demonstrate automated FS, integrated with an Instance-Based Learning (IBL) approach to classification, in an ACT-R model of categorization by labeling facial expressions of emotion (e.g., happy, sad) from a set of relevant, irrelevant, distinct, and overlapping facial action features.

关键词： Autonomous systems Feature selection ACT-R Cognitive architectures Machine-learning Classification Categorization Instance-based learning

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17th international conference on Asia simulation, AsiaSim 2017

17th International Conference on Asia Simulation, AsiaSim 20...

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17th international conference on Asia simulation, AsiaSim 2017

ISBN: (纸本)9789811065019

The proceedings contain 124 papers. The special focus in this conference is on Asia simulation. The topics include: Improvement of GPS accuracy in positioning by using DGPS technique;structural analysis of keropok keping drying machine;comparative study between hourly and daily generation maintenance scheduling;maximum power point tracking (MPPT) battery charger for a small wind power system;differential search algorithm in deep neural network for the predictive analysis of xylitol production in escherichia coli;xylitol production of E. coli using deep neural network and firefly algorithm;a review of deep learning architectures and their application;the enhancement of evolving spiking neural network with dynamic population particle swarm optimization;the effects of pressure variation in sliding mode controller with optimized PID sliding surface;a new local search algorithm for minimum span frequency assignment in mobile communication;enhanced probabilistic roadmap for robot navigation in virtual greenhouse environment;modeling and simulation for defect depth estimation using pulsed eddy current technique;mathematical modelling and quadratic optimal tuning based PID scheme for an inverted pendulum-cart system;ship fire-fighting training system based on virtual reality technique;a systematic web mining based approach for forecasting terrorism;biased robust composite nonlinear feedback control of under actuated systems;realization of 3D sound effect system in navigation simulator;acceleration of particle based fluid simulation with adhesion boundary conditions using GPU;a study on the behavior modeling method of helicopter force and EEG analysis for pre-learning stress in the brain.

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Noise Observer Based Sliding Mode Control for Time-Varying Delay systems

Noise Observer Based Sliding Mode Control for Time-Varying D...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Cui, Yanliang Shi, Guangtian Xu, Lanlan Zhang, Xiaoan Li, Xue Lanzhou Jiaotong Univ Sch Mech Engn Lanzhou 730070 Gansu Peoples R China Lanzhou Jiaotong Univ Sch Civil Engn Lanzhou 730070 Gansu Peoples R China

ISBN: (纸本)9789811063732;9789811063725

This paper investigates the control issue for noise-perturbed time-varying delay systems. A novel state and noise observer (SNO) based sliding mode control (SMC) law is designed, meanwhile, a weighted energy-to-energy performance (WEEP) is proposed for reducing the negative influence of the observer-induced complex exogenous noises. By a novel free-weight matrix method, the stability condition is conveniently obtained. By the proposed method, the exponential stability of close-loop system can be guaranteed while a WEEP is simultaneously achieved, moreover, the exponential convergence rate can be pre-specified. Numerical examples are provided to demonstrate the effectiveness of the proposed methods.

关键词： Noise observer Integral sliding mode control Time-varying delay Energy-to-energy performance

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Stability Analysis of Wind Turbines Combined with Rechargeable Batteries Based on Markov Jump Linear systems

Stability Analysis of Wind Turbines Combined with Rechargeab...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Dai, Xiao-kun Song, Yang Schueller, Mira Schramm, Dieter Shanghai Univ Sch Mechatron Engn & Automat Shanghai Peoples R China Shanghai Key Lab Power Stn Automat Technol Shanghai Peoples R China Univ Duisburg Essen Dept Mech Engn Duisburg Germany

ISBN: (纸本)9789811063640;9789811063633

To maximize the output power in low wind speed and to maintain the demanded power of the turbine in high wind speed, switch control strategy is applied to wind turbines combined with rechargeable batteries. A mathematical model of a Markov jump linear system is established for such wind turbine systems. The method for determining the transition probability of the Markov chain is also presented. Then sufficient conditions for almost sure ability are proposed for this combined wind turbine system.

关键词： Wind turbine Battery storage system Markov jump system Almost-sure stability

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The Development of Multi-axis embedded CNC System Based on Dual-core Chip

The Development of Multi-axis Embedded CNC System Based on D...

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2018 international conference on computer modeling, simulation and Algorithm（CMSA2018）

作者： Xu Liu Haixin Zou Xiangfa Kong Jun Lu Shenzhen youqi lighting co.LTD. Shenzhen Institute of Information Technology Engineering Training Center School of Mechanical and Automotive Engineering South China University of Technology Guangzhou Institutes of Biomedicine and Health GIBH Chinese Academy of Sciences

At present, from the selection of the chip to the molding of the product, the embedded CNC system will encounter various problems, such as insufficient performance of the processor, hidden dangers of the physical communication scheme between the chips, insufficient reconfigurability of the platform, and transmission rate limitation and so on. This makes the development cycle of the embedded numerical control system very long. This paper combines the rapid development and mature multi-core technology of electronic products, and develops an open multi-core embedded CNC system platform based on highperformance TMS320 DM8148. The overall structure of the platform is based on a multi-core CNC system, including hardware platform construction and circuit design, dual-core and inter-core communication, and dual-core and FPGA high-speed bus communication. The reconfigurability developed by FPGA is used to develop each module in the CNC system and achieve many Axis servo driver control, and finally gives the system startup and control process, the firmware program is written to the dual-core CNC system for actual processing experiments. From the results of the performance test of the CNC system, the indicators could meet or exceed the performance requirements of the existing highperformance CNC systems, and also have open, modular and network control functions. The system platform has been successfully applied Five-axis linkage CNC machine tools, CNC milling machine, CNC engraving machine, all-electric servo CNC bending machine, spring machine and other types of CNC machine tools, reducing the design difficulty, greatly reducing the development cycle, allowing users to focus on solving specific applications Problems, and it thus quickly promote the development of the national economy and the overall level of industrial manufacturing, and has produced a very good economic and social benefits.

关键词： embedded dual-core communication multi-axis linkage FPGA interpolation CNC system

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Work-in-progress: REDEFINE – a case for WCET-friendly hardware accelerators for real time applications

Work-in-progress: REDEFINE – a case for WCET-friendly hardw...

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Proceedings of the international conference on Compilers, architectures and Synthesis for embedded systems (CASES)

作者： Kavitha Madhu Tarun Singla S K Nandy Ranjani Narayan Francois Neumann Philippe Baufreton Indian Institute of Science Morphing Machines Pvt Ltd SAFRAN Electronics & Defense

ISBN: (纸本)9781509065400

REDEFINE is a distributed dynamic datafow architecture, designed for exploiting parallelism at various granularities as an embedded system-on-chip (SoC). This paper dwells on the flexibility of REDEFINE architecture and its execution model in accelerating real-time applications coupled with a WCET analyzer that computes execution time bounds of real time applications.

关键词： Real-time systems Kernel Hardware computer architecture Parallel processing Computational modeling Analytical models

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Event-Triggered Consensus Tracking Control of Multi-agent systems with Lipschitz-Type Dynamics

Event-Triggered Consensus Tracking Control of Multi-agent Sy...

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international conference on Life System modeling and simulation (LSMS) / international conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Yang, Yang Yue, Dong Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210023 Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Jiangsu Engn Lab Big Data Anal & Control Act Dist Nanjing 210023 Jiangsu Peoples R China

ISBN: (纸本)9789811063732;9789811063725

In this paper, we consider the leader-following tracking control problem for a class of nonlinear multi-agent systems (MASs) with Lipschitz-type dynamics via event-triggered approaches. For a directed communication topology, a distributed consensus control scheme is developed on the basis of event-triggered mechanism. In addition, to avoid continuous monitor of measurement information, a technical approach is presented for generation of the combinational information from their own neighboring agents only at event instants. The stability of the closed-loop system is given, and it is proven that the Zeno behavior is ruled out.

关键词： Multi-agent systems Event-triggered control Consensus Nonlinear systems

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