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第三十四届中国控制会议

作者： LI Jiwei LI Dewei XI Yugeng Zheng Pengyuan Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information Processing Ministry of Education College of Automation Engineering Shanghai University of Electric Power

ISBN: (纸本)9781467374439

This paper designs output-feedback model predictive control for discrete-time stochastic linear systems. An augmented system of both estimated state and estimation error is formulated. A series of polyhedrons is designed for uncertainty propagation of the augmented system and handling probabilistic constraints. In particular, the polyhedron of estimation error is maintained over the repeated optimization such that the real system state is properly estimated. The resultant optimization problem of the controller is quadratic programming and is solved efficiently. A numerical example is given to illustrate performance of the controller.

关键词： model predictive control,output feedback,probabilistic constraints,stochastic uncertainty

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Attitude synchronization of multiple rigid bodies in SE(3) over proximity networks

Attitude synchronization of multiple rigid bodies in SE(3) o...

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第35届中国控制会议

作者： Juan Deng Zhixin Liu Lin Wang John S.Baras Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceCAS Department of Automation Shanghai Jiao Tong Universityand the Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Electrical and Computer Engineering and the Institute for Systems Research University of MarylandCollege Park

ISBN: (纸本)9781509009107

This paper investigates the attitude synchronization of a group of moving rigid bodies whose states including positions and rotation matrices evolve in the Lie group SE(3).The commonly used circular neighborhood is adopted,and the neighbor graphs are described by proximity *** order to avoid introducing discussions on the abrupt changes of neighbor graphs,a dwell time is *** distributed sampled-data control law for the angular velocity is *** the assumptions on the initial states,we provide sufficient conditions for the attitude synchronization of multiple rigid body *** with the existing results,our condition depends only on the neighborhood radius,the moving velocity and the dwell time.

关键词： rigid body SE(3) attitude synchronization sampled-data control proximity network

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Mathematical modeling and decision-making on controlling modes of technological objects in the fuzzy environment

Mathematical modeling and decision-making on controlling mod...

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World Congress on Intelligent control and automation (WCICA)

作者： Y. A. Ospanov B. B. Orazbayev K. N. Orazbayeva N. S. Mukataev A. I. Demyanenko Department of System Analysis and Control L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Management Kazakh University of Economics Astana Kazakhstan Department of Automation and Electrical Engineering Shakarim State University of Semey Semey Kazakhstan

ISBN: (纸本)9781467384155

This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem of decision-making on optimal operation modes of technological complex for the benzene production and based on the methods of fuzzy mathematics an algorithm of its solution is developed. The initial problem is formalized as a problem of decision-making in the fuzzy environment, since the investigated object is characterized by multicriteriality and frequently functions in a fuzzy environment. The mathematical formulation of the problem of object's mode selection in the fuzzy environment and the heuristic algorithm of its solution is obtained by modifying various optimality principles based on methods of the fuzzy sets theory.

关键词： Mathematical model Decision making Production Fuzzy sets Data models Pragmatics Numerical models

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A robust terrain-based road vehicle localization algorithm

A robust terrain-based road vehicle localization algorithm

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IEEE Symposium on Intelligent Vehicle

作者： Tianyi Li Ming Yang Xujin Zhou Chunxiang Wang Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Department of Instrument Science and Engineering Shanghai Jiao Tong University Shanghai China Research Institute of Robotics Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781509018222

Terrain-based localization is an alternate to the global positioning system (GPS) in signal blocked areas. However, terrain-based localization technique may suffer from low accuracy or even fail when brake vibration occurs. This paper presents a real-time algorithm for vehicle localization which is robust against brake vibration. The input includes a reference map of pitch difference and measurements from rear wheel encoders and inertial measurement units (IMU). This method consists of two steps. In the first step, terrain map is generated using pitch difference at equidistant intervals. After that, the Bayesian inference and particle filters are adopted in the second step to identify the vehicle location during travel. To enhance system stability, we propose dynamic distributions of filter variances according to acceleration input. Experimental results demonstrate that the localization method with dynamic distributions can localize the vehicle quickly with high accuracy even when a quite severe shuddering happens.

关键词： Vehicles Roads Brakes Acceleration Heuristic algorithms Vibrations Standards

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Corrigendum to “Stabilizing Parametric Region of Multiloop PID controllers for Multivariable systems Based on Equivalent Transfer Function”

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Mathematical Problems in engineering 2017年第1期2017卷

作者： Xiaoli Luan Qiang Chen Pedro Albertos Fei Liu Key Laboratory of Advanced Process Control for Light Industry Ministry of Education and the Institute of Automation Jiangnan University Wuxi 214122 *** Department of System Engineering and Automatica Universidad Politécnica de Valencia 46022 Valencia Spainupv.es

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Event-triggered consensus tracking for multi-agent systems with nonlinear uncertainty dynamics

Event-triggered consensus tracking for multi-agent systems w...

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第35届中国控制会议

作者： Xuhui Li Bohui Wang Jingcheng Wang Bin Zhang Hai Lin Xiaocheng Li the National Engineering and Research Center for Commercial Aircraft Manufacturing Commercial Aircraft Corporation of China Ltd the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China the Department of Electrical Engineering University of South Carolina

ISBN: (纸本)9781509009107

This paper addresses the event-triggered consensus tracking for general linear multi-agent systems with nonlinear uncertainty dynamics under directed communication *** proposed event-triggered consensus strategy relaxes the assumptions in existing works that the control gain and local inputs must be *** the consensus tracking condition being satisfied,the cooperative control law with bounded parameter is developed based on the intermittent *** shows that if the sampling condition,in terms of LMIs,is satisfied,the resulting closed-loop general linear multiagent uncertain systems will achieve the *** results are provided to verify the proposed approach.

关键词： Index Terms-multi-agent systems event-triggered consensus tracking uncertainty intermittent samples

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Characteristics of GaAs power MESFETs with double silicon ion implantations for wireless communication applications

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Open Materials Science Journal 2016年 10卷 29-36页

作者： Zheng, Chun-Yi Chiang, Wen-Jung Lai, Yeong-Lin Chang, Edward Y. Chen, Shen-Li Wang, K.B. Department of Mechatronics Engineering National Changhua University of Education Changhua50007 Taiwan Mechatronic Integration and System Control Research Center National Changhua University of Education Changhua50007 Taiwan Department of Materials Science and Engineering National Chiao Tung University Hsinchu30010 Taiwan Department of Electronic Engineering National United University Miaoli36063 Taiwan

GaAs power metal-semiconductor field-effect transistors (MESFETs) were fabricated using direct double silicon (Si) ion implantation technology for wireless communication applications. A 150-μm MESFET had a saturation drain current of 238 mA/mm after Si3N4passivation. A 15-mm MESFET, when measured under a class-AB condition with a biased drain voltage of 3.4 V and a quiescent drain current of 600 mA, delivered a maximum output power (Pout) of 31.1 dBm and a maximum power-added efficiency (PAE) of 58.0% at a frequency of 1.88 GHz. The MESFET exhibited a Poutof 29.2 dBm with a PAE of 45.0% at the 1-dB gain compression point. The MESFET, when measured under a deep class-B condition with a biased drain voltage of 4.7 V and a quiescent drain current of 50 mA, achieved a maximum Poutof 33.1 dBm and a maximum PAE of 55.9% at 1.88 GHz. The MESFET operating at 4.7 V and 1.88 GHz exhibited a P1dBof 31.8 dBm and an associated PAE of 47.1% at the 1-dB gain compression point. When tested by IS-95 code-division multiple access (CDMA) standard signals and biased at 4.7 V under the deep class-B condition, the MESFET with a Poutof 28 dBm demonstrated an adjacent channel power rejection (ACPR) of –31.2 dBc at +1.25 MHz apart from the 1.88 GHz center frequency and –45.7 dBc at +2.25 MHz. © Lai et al.

关键词： Code division multiple access

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Explicit adaptive synchronization of multi-agent uncertain systems with heterogeneous dynamic networks

Explicit adaptive synchronization of multi-agent uncertain s...

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American control Conference (ACC)

作者： Bohui Wang Yingguan Wang Bin Zhang Fengrong Li Jingcheng Wang Hai Lin Xiaocheng Li Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Key Laboratory of Wireless Sensor Network & Communication Chinese Academy of Sciences Shanghai China Department of Electrical Engineering University of South Carolina Columbia SC USA

ISBN: (纸本)9781467386838

This paper proposes an explicit adaptive algorithm to solve the problem of heterogeneous dynamic synchronization of multi-agent uncertain systems. Different from the existing works, the proposed algorithm depends on less control parameters and achieves zero synchronization error between the agents of heterogeneous uncertain dynamic networks and virtual target. By introducing appropriate assumptions, a class of explicit adaptive synchronization protocols is designed based on a combination of the virtual target's states, distributed feedback gain, and the limited neighboring agents' information. By using Lyapunov function approach, it is proved that the explicit adaptive synchronization problem of closed-loop multi-agent uncertain systems with heterogeneous dynamic networks can be solved, if the control parameters of the explicit adaptive synchronization algorithm are suitably selected. Finally, an example is given to demonstrate the proposed theory.

关键词： Synchronization Heuristic algorithms Uncertain systems Adaptive systems Protocols Eigenvalues and eigenfunctions Laplace equations

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Iterative learning predictive control for urban drainage systems 34

Iterative learning predictive control for urban drainage sys...

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第三十四届中国控制会议

作者： CUI Yiqun JIN Mengke LI Dewei XI Yugeng CEN Lihui Department of Automation Shanghai Jiao Tong UniversityShanghai Key Laboratory of System Control and Information ProcessingMinistry of Education Department of Automation Science and Technology School of Information Science and EngineeringCentral South University

ISBN: (纸本)9781467374439

Urban drainage system is important for a modern city. This paper considers the control problem of an urban drainage system when a storm happens. By analyzing a storm, we see that the procedure of every storm is similar and its approximate procedure can be divided into three phases according to the change trend of rainfall. Therefore, we introduce the iterative learning control(ILC) into the urban drainage system and present a method of ILC based model predictive control(MPC). A 2D model based on a simpli ed model of drainage system is adopted. The procedure of a storm is divided into three phases and the ILC based MPC is designed for each phase by regarding it as a similar batch process. The handle of different length of phases is also considered. Since the learning based on the historic results is utilized, the proposed control method can improve the control result storm by storm. The numerical examples verify the effectiveness of the proposed design.

关键词： Predictive control,Learning control,Urban Drainage system

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Adaptive fuzzy sliding mode active vibration control for rail vehicle pantograph

Adaptive fuzzy sliding mode active vibration control for rai...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： Tsung-Chih Lin Jian-Lin Yeh Chia-Hao Kuo Yu-Chen Lin Valentina E. Balas Department of Electronic Engineering Feng-Chia University Taichung Taiwan Ph.D. Program of Electrical and Communications Engineering Feng-Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Department of Automation and Applied Informatics Aurel Vlaicu University of Arad Arad Romania

ISBN: (纸本)9781509006274

In this paper, the uncertain dynamic active pantograph-catenary system which considers the effect of time-varying stiffness resulting from the uneven overhead wire is investigated to improve current collection for light rail vehicle. In order to achieve stable current collection, and hence improve the performance of the overall electricity supply, sliding mode control strategy and adaptive fuzzy sliding mode control scheme are combined. The uplift force which is applied to pantograph frame by actuator is constructed by incorporating fuzzy neural network (FNN) and sliding mode control to attenuate the chattering problem resulting from the sliding mode control. Based on the Lyapunov stability theorem, the active control law and adaptive laws for the free parameters of the FNNs can be derived to effectively suppress vibration of the pantograph system.

关键词： Force Cats Dynamics Wires Sliding mode control Fuzzy neural networks Fuzzy control

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