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STATE FEEDBACK STABILIZATION FOR A CLASS OF NONLINEAR TIME-DELAY systems VIA DYNAMIC LINEAR controlLERS

Journal of systems Science & Complexity 2014年第3期27卷 453-462页

作者： CHAI Lin QIAN Chunjiang School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Department of Electrical and Computer Engineering University of Texas at San AntonioSan AntonioTX 78249USA

The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth *** the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates,the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback *** growth condition in perturbations are more general than that in the existing *** correctness of the theoretical results are illustrated with an academic simulation example.

关键词： Dynamic linear controller global stabilization nonlinear time-delay systems state feed-back control.

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Levenberg-Marquardt based artificial physics method for mobile robot oscillation alleviation

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Science China(Physics,Mechanics & Astronomy) 2014年第9期57卷 1771-1777页

作者： ZHANG XiangYin DUAN HaiBin LUO QiNan State Key Laboratory of Virtual Reality Technology and Systems Beihang University Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University

This paper proposed a modified artificial physics(AP)method to solve the autonomous navigation problem for mobile robots in complex *** basic AP method tends to cause oscillations in the presence of obstacles and in narrow passages,which can result in time *** alleviate oscillation,we modified the AP method using the Levenbery-Marquardt(LM)*** the modified AP method,we altered the original directions of AP forces to the Newton direction,and adjust the parameter by the LM algorithm.A series of comparative experimental results show that the modified AP method can achieve smoother trajectories with less time *** demonstrates the feasibility and effectiveness of our proposed approach.

关键词： artificial physics（physicomimetics） Levenbery-Marquardt（LM） algorithm autonomous navigation obstacle avoidance

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GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE systems WITH PARAMETRIC UNCERTAINTIES

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Journal of systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

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Mars Entry Trajectory Tracking Via Constrained Multi-Model Predictive control 33

Mars Entry Trajectory Tracking Via Constrained Multi-Model P...

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第三十三届中国控制会议

作者： WU Chao LI Shihua YANG Jun GUO Lei School of Automation Southeast University & Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of Education School of Automation Science and Electrical Engineering Beihang University & Institute of Instrument Science and Opto-Electronics Engineering

ISBN: (纸本)9781479947249

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 Entry,Trajectory Tracking,Constrained Multi-Model Predictive control,Monte Carlo Simulation

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Observability and Detectability of Periodic Markov Jump systems with Multiplicative Noises

Observability and Detectability of Periodic Markov Jump Syst...

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IEEE International Conference on Information and automation

作者： Ting Hou Hongji Ma Weihai Zhang College of Mathematics and Systems Science State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology College of Electrical Engineering and Automation Shandong University of Science and Technology

ISBN: (纸本)9781467391054

Based on a newly proposed monodromy operator, spectral criteria are developed for stability, observability and detectability of discrete-time Markov jump systems with periodically time-varying coefficients and transition probability matrix. Moreover, it is shown that the obtained structural criteria have important applications in the analysis about asymptotic mean square stability of periodic Markov jump systems and stabilizing solution of periodic difference Riccati equations.

关键词： Periodic systems Nonhomogeneous Markov chain Observability Detectability Spectral criterion

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Adaptive Backstepping control of Lightweight Tower Wind Turbine

Adaptive Backstepping Control of Lightweight Tower Wind Turb...

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American control Conference

作者： Roberto Galeazzi Kasper T. Borup Henrik Niemann Niels K. Poulsen Fabio Caponetti Automation and Control Group DTU Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark Centre for Autonomous Marine Operations and Systems Norwegian University of Science and Technology Trondheim Norway Section of Dynamical Systems DTU Compute Technical University of Denmark Kgs. Lyngby Denmark Vestas Wind Systems Aarhus Denmark

ISBN: (纸本)9781479917730

This paper investigates the feasibility of operating a wind turbine with lightweight tower in the full load region exploiting an adaptive nonlinear controller that allows the turbine to dynamically lean against the wind while maintaining nominal power output. The use of lightweight structures for towers and foundations would greatly reduce the construction cost of the wind turbine, however extra features ought be included in the control system architecture to avoid tower collapse. An adaptive backstepping collective pitch controller is proposed for tower point tracking control, i.e. to modify the angular deflection of the tower with respect to the vertical axis in response to variations in wind speed. The controller is shown to guarantee asymptotic tracking of the reference trajectory. The performance of the control system is evaluated through deterministic and stochastic simulations including an extreme wind gust event, and the feasibility of stabilizing the tower position while maintaining the rated power output is shown.

关键词： Poles and towers Wind turbines Rotors Aerodynamics Torque Wind speed Generators

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Diagnostic system for OHL state assessment

Diagnostic system for OHL state assessment

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Siberian Conference on control and Communications (SIBCON)

作者： Alexandra I. Khalyasmaa Dmitry I. Bliznyuk Alexey M. Romanov Automated electrical systems department Ural Federal University named after the first President of Russia B. N. Yeltsin Ekaterinburg Russia Control Problems Department Moscow State Technical University of Radio Engineering Electronics and Automation Moscow Russia

The paper is devoted to a question of overhead lines technical state assessment and overview of its implementation methods and techniques. Development of diagnostic suite for OHL state assessment on the base of quadco... 详细信息

ISBN: (纸本)9781479971046

关键词： Wires Maintenance engineering Inspection Poles and towers Propellers Reliability Organizations

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Adaptive fuzzy control of output-constrained switched nonlinear systems

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ICIC Express Letters 2015年第12期9卷 3355-3362页

作者： Niu, Ben Liu, Yanli Shen, Mouquan School of Control Science and Engineering Dalian University of Technology No. 2 Linggong Road Ganjingzi District Dalian China College of Mathematics and Physics Bohai University No. 19 Keji Road New Songshan District Jinzhou China Automation Research Institute Bohai University No. 19 Keji Road New Songshan District Jinzhou China College of Electrical Engineering and Control Science Nanjing Technology University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

In this paper, the problem of adaptive fuzzy tracking control is considered of uncertain switched nonlinear systems with an output constraint. First, a barrier Lyapunov function (BLF) is employed to deal with the output constraint. Then fuzzy logic systems are used to approximate the unknown nonlinearities and backstepping technique is employed to construct an adaptive fuzzy controller. The designed controller guarantees all the closed-loop signals remain bounded while the system output converges to a small neighborhood of the desired reference signal without violating the constraint. An example is given to demonstrate the validity of the developed result. © 2015 ICIC International.

关键词： Lyapunov functions

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Editorial tnnls special issues and editorial board changes

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IEEE Transactions on Neural Networks and Learning systems 2014年第1期25卷 1-8页

作者： Liu, Derong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago IL 60607 United States

An introduction is presented in which the editor discusses the theme of the periodical based on learning in nonstationary and evolving environments along with changes in the editorial board and also offers brief profi... 详细信息

关键词： LEARNING EDITORIAL boards (Publishing)

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Interval type-2 fuzzy-model-based control design for time-delay systems under imperfect premise matching

Interval type-2 fuzzy-model-based control design for time-de...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Yuandi Li H. K. Lam Lixian Zhang Hongyi Li Fucai Liu Shun-Hung Tsai Department of Informatics King's College London United Kingdom Institute of Electrical Engineering Yanshan University Qinhuangdao China Research Center of Intelligent Control and Systems Harbin Institute of Technology Harbin China College of Engineering Bohai University Jinzhou China Graduate Institute of Automation Technology National Taipei University of Technology Taipei Taiwan

In this paper, the problems of stabilization for interval type-2 fuzzy systems with time-varying delay and parameter uncertainties are investigated. The objective is to design an interval type-2 fuzzy controller such that the closed-loop control system is asymptotically stable. The conditions for the existence of such a controller are delay dependent and membership function dependent in terms of linear matrix inequalities (LMIs). Based on a basic lemma, we formulate and solve the problem with more flexibility due to imperfect premise matching that the number of rules and premise membership functions are not necessary the same between the interval type-2 fuzzy model and interval type-2 fuzzy controller. A systematic approach making use of the information embedded in the lower and upper membership functions is employed to facilitate the stability analysis. A numerical example indicates the effectiveness of the derived results.

关键词： Gold

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