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Distributed differential evolution algorithm with adaptive parameters

Kongzhi yu Juece/control and Decision 2014年第4期29卷 701-706页

作者： Zhang, Chun-Mei Chen, Jie Xin, Bin School of Automation Ministry of Education Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing 100081 China School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

An adaptive distributed differential evolution algorithm is proposed based on the change of the individual's fitness value. Firstly, the initial population is divided into several subpopulations. When the migration condition is satisfied, the best individual in each subpopulation will replace the worst individual of its neighbor subpopulations according to the Von Neumann topology. The migration mechanism among subpopulations enables the information to be communicated in the whole population. Meanwhile, the adaptive mechanism of F and CR is presented for assigning different F and CR to each individual according to the individual's fitness. Numerical results show that, the proposed algorithm is beneficial to explore the solution space, which can avoid the premature convergence and search the excellent solutions.

关键词： Optimization

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Mars entry trajectory tracking via constrained multi-model predictive control

Mars entry trajectory tracking via constrained multi-model p...

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Chinese control Conference (CCC)

作者： Chao Wu Shihua Li Jun Yang Lei Guo Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing Jiangsu CN School of Automation Science and Electrical Engineering Beihang University & Institute of Instrument Science and Opto-Electronics Engineering Beijing CN

Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control (CMPC) is employed. The CMPC is made up of some constrained predictive control (CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model (obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.

关键词： Mars Aerodynamics Uncertainty Trajectory Predictive models Vehicles Predictive control

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Robust consensus of second-order multi-agent systems with nonuniform time-delays and switching topologies

Robust consensus of second-order multi-agent systems with no...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Wenguang Zhang Deliang Zeng Yuguang Niu Taihua Chang Beijing Key Laboratory of Measurement & Control North China Electric Power University Beijing China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781479938926

This paper studies the robust consensus problem for second-order multi-agent systems with nonuniform time-delays and switching topologies in the presence of external disturbances, where each agent has a self-delay and each delay is independent of each other. A neighbor-based rule is used for the agents with nonuniform time-delays and external disturbances. A sufficient condition is derived under which all agents achieve consensus while satisfying desired H ∞ performance. Finally, the effectiveness of the obtained theoretical results is demonstrated through numerical simulations.

关键词： Delays Multi-agent systems Trajectory Topology Switches Network topology Symmetric matrices

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Adaptive bat algorithm for toy model of protein folding

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Journal of Bionanoscience 2014年第5期8卷 360-363页

作者： Cai, Xingjuan Li, Wuzhao Kang, Qi Wang, Lei Wu, Qidi Department of Control Science and Engineering Tongji University Shanghai201804 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi030024 China Department of Electrical and Mechanical Engineering Jiaxing Vocational Technical College Jiaxing314036 China Shanghai Key Laboratory of Financial Information Technology Shanghai200433 China

Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behavior of bats with varying pulse rates of emission and loudness. In this paper, a new variant which is called adaptive bat algorithm is designed and applied to solve the toy model prediction problem. In this algorithm, a linearly dynamic pulse rate selection strategy is designed. To test the performance, short sequences, Fibonacci sequence and real protein sequences are selected to compare, simulation results show adaptive bat algorithm is validity. Copyright © 2014 American Scientific Publishers.

关键词： Proteins

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A zigbee-based building energy and environment monitoring system integrated with campus GIS

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International Journal of Smart Home 2014年第2期8卷 107-114页

作者： Qian, Kun Ma, Xudong Peng, Changhai Ju, Qing Xu, Mengyuan Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China School of Architecture Southeast University Nanjing 210096 China IIUSE Southeast University Nanjing 210096 China Key Laboratory of Urban and Architectural Heritage Conservation Ministry of Education China

In this paper, the design and development of a Building Energy and Environment Monitoring system (BEEMS) for smart campus applications is proposed. The system is implemented based on distributed sensor nodes using ZigBee technology, which empowers the collection and monitoring of various types of measurements that reflect the energy consumption and environmental status of buildings. These parameters include temperature, humidity, air velocity, sound, bubble globe temperature, TVOC, CO2 concentration, air quality level, et al. The application software system is developed using jQuery-based Ajax general interactive architecture, and further integrated with campus GIS, which offers rich analysis and report functions for monitoring both energy consumption and environment parameters. © 2014 SERSC.

关键词： Energy utilization

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Global Stability of Cascaded systems with Non-smooth Continuity

Global Stability of Cascaded Systems with Non-smooth Continu...

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第三十二届中国控制会议

作者： Ma Li Li Xuebing Ding Shihong Zhang Jun School of Electrical and Information Engineering Jiangsu University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479900305

The local/global Lipschitz continuity is always required when considering the stability of the cascaded systems. Different from the exiting methods proposed in the literature,this paper gives a method to deal with non-smooth cascaded *** using iISS property,some sufficient conditions for global asymptotic stability of the cascaded systems are derived. Then,based upon this,an interesting result of finite-time stability for cascaded systems is further *** proposed methods are verified by some academic examples.

关键词： Cascaded systems Stability Finite-time control

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The design of robust MIMO neural network disturbance observer for multi-variable system

The design of robust MIMO neural network disturbance observe...

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Chinese control Conference (CCC)

作者： Juan Li Shihua Li Shengquan Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu CN School of Automation Southeast University Nanjing Jiangsu CN Sch. of Hydraulic Energy & Power Eng. Yangzhou University Yangzhou Jiangsu CN

Multi-variable systems widely exist in the practical engineering control systems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings and external disturbances. Disturbance observer (DOB) is known as an effective technique to estimate disturbances and has been extensively applied for feed-forward compensation design in the presence of disturbances. Yet many disturbance observer techniques in previous literature are just used for single-input-single-output (SISO) systems or the DOBs can be applied in the multi-variable systems, but the DOBs are still SISO DOBs. A decoupled robust multi-input-multi-output neural network disturbance observer (MNNDOB) is designed for the multi-input-multi-output (MIMO) systems. Simulation results on the mixing tank show that the proposed method has better disturbance estimation performance when there are severe model mismatches compared with the MIMO linear disturbance observer.

关键词： Observers Neural networks MIMO Robustness control systems Adaptation models

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A Dual-Motor Joint Model for Humanoid Robots

A Dual-Motor Joint Model for Humanoid Robots

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第25届中国控制与决策会议

作者： Jingtao Xue Xiaopeng Chen Ye Tian Zhangguo Yu Fei Meng Qiang Huang IRI School of Mechatronic Engineering Beijing Institute of Technology Key Laboratory of Biomimetic Robots and Systems Ministry of Education Key Laboratory of Intelligent Control and Decision of Complex System

ISBN: (纸本)9781467355339

To make humanoid robots walking fast, it's important to improve driving force of their leg joints. Usually, each joint of humanoid robots is driven by a single motor. Dual-motor joint, on the other hand, is one of the candidate solutions to meet the power requirement needed for fast walking. This paper proposed a new dual-motor control model. In the model, two motors are treated as a single control plant instead of two parallel control plants. With the usage of current distributor, the control model can pump different current to each motor freely so as to eliminate the unbalance of the load imposed on each motor. Simulation and experiment show that the proposed model works well under high joint load and it can be used on a fast walking humanoid robot.

关键词： Humanoid robot, dual motor, control model

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Parameter optimization of hydro turbine governor PID controller by chaotic improved PSO algorithm

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Energy Education Science and Technology Part A: Energy Science and Research 2014年第5期32卷 3949-3962页

作者： Chen, Gonggui Du, Yangwei Song, Peizhu Chongqing University of Posts and Telecommunications Key Laboratory of Industrial Wireless Network and Networked Control of Ministry of Education Chongqing China Chongqing University of Posts and Telecommunications Research Center on Complex Power System Analysis and Control Chongqing China Hubei Minzu University Dept. of Electrical Engineering Enshi China Hubei Energy Group Qiyueshan Wind Power Co Ltd Lichuan China

For overcoming the disadvantages of easily falling into local extremum and easily losing species diversity in traditional particle swarm optimization (PSO) algorithm, a cross improved PSO (IPSO) algorithm is proposed. In addition, in order to enhance the exploitation capacity of IPSO algorithm, it also makes use of chaotic sequence features which is called chaotic IPSO (CIPSO) algorithm. In present paper, mathematical structure model of hydro turbine governor is established, and the integral of absolute value of error as the minimum objective function is adopted to select particles. In order to obtain satisfactory transient dynamic characteristics in process of tuning of PID parameters, the square of output signal after PID tuning and the rise time are proposed to integrate into the augmented objective function, and in order to minimize overshoot to the greatest extent, the penalty mechanism is concerned. These algorithms are performed for optimized designs of governor PID parameters on hydro turbine. Several specific working conditions are modeled and CIPSO algorithm results are compared with those in PSO and IPSO algorithms. It comes out that the CIPSO algorithm has made some improvements whether in convergent speed or convergent accuracy in comparing with other two algorithms. © Sila Science. All rights reserved.

关键词： Governors

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Exploiting robustness in Petri net-based closed-loop systems to accommodate control specification changes

Exploiting robustness in Petri net-based closed-loop systems...

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2013 IEEE International Conference on Automation Science and engineering, CASE 2013

作者： Li, Jun Zhou, Mengchu Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering China Ministry of Education Automation School of Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China

ISBN: (纸本)9781479915156

Supervisory control reconfiguration has been paid more attention due to its capacity of handling the uncertainties including resource failures, capability degradation, and task changes in discrete event systems. However, the robustness of closed-loop systems in response to some specification changes was not addressed in the prior studies. This paper presents a reconfiguration method based on Petri nets and integer programming for supervisory control of resource allocation systems with changeable resource allocation relationships (control specifications). First, we propose a reconfiguration mechanism. It updates the P-invariant-based supervisor and evolves the state of the closed-loop system. The latter adapts to the certain changes in specifications by the self-regulation of the closed-loop system's state. It utilizes fully the robustness in a closed-loop system and avoids unnecessary modification of a supervisor. Then, a reconfiguration model with robustness analysis is proposed based on integer programming. By using it, a firing sequence of transitions as a serial of reconfiguration actions can be found. The execution of the sequence implements the state evolution of a closed-loop system. There is no need for making additional efforts to analyze state reachability of the system, since the firability condition of transitions is incorporated into the model. Finally, the method is illustrated through an example of a hospital emergency service system. © 2013 IEEE.

关键词： Closed loop systems

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