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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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A least square approach for distributed sensor fusion in bandwidth-constrained sensor networks

A least square approach for distributed sensor fusion in ban...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Shanying Zhu Jinming Xu Cailian Chen Xinping Guan Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781479999897

In this paper, we consider a simple model of distributed sensor fusion problem in sensor networks with asymmetric links, where the common goal is linear parameter estimation. For the realistic scenario of bandwidth-constrained networks, we propose a least square approach, based on distributed quantized consensus algorithms, to compute the ideal centralized sample mean estimate. Analytical results show that the proposed approach is effective in smearing out the quantization errors, and outperforms the centralized approaches with respect to the estimation performance. Simulation results are provided to validate the analytical results.

关键词： Quantization (signal) Sensor fusion Bandwidth Distributed algorithms Convergence Estimation Probabilistic logic

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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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Constrained Energy Efficiency Optimization for Robotic Manipulators Using Neuro-dynamics Approach 34

Constrained Energy Efficiency Optimization for Robotic Manip...

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第三十四届中国控制会议

作者： XU Peng WANG Liyang LI Zhijun SU Chun-Yi The Key Lab of Autonomous System and Network Control Ministry of Education and College of Automation Science and Engineering South China University of Technology Department of Electronic Engineering Shunde Polytechnic

ISBN: (纸本)9781467374439

In the paper, a neurodynamic-based energy efficiency optimization strategy(NEE-OS) is proposed to decrease the energy expenditure of robotic manipulators. Different from the traditional approaches, the proposed NEE-OS integrates several necessary constrains from the environment and the robotic manipulator, which could affect energy consumptions of the robotic manipulator in engineering applications to a large extent. To handle the constraints formulated as equalities and inequalities, the energy efficiency optimization problem is converted into a constrained quadratic programming(QP) problem, which is solved using a linear variable inequality-based primal-dual neural network(PDNN) efficiently.

关键词： robotic manipulator,energy optimization,quadratic programming,neural network

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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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Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Reliability and Security Issues for IoT-based Smart Business...

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International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)

作者： Vyacheslav Kharchenko Maryna Kolisnyk Iryna Piskachova Nikolaos Bardis Department of Computer Systems and Networks National Aerospace University “KhAI” Kharkiv Ukraine Department of Automation and Control in Technical Systems National Technical University “KPI” Kharkiv Ukraine Department of Computer Science and Control System Ukrainian State University of the Railway Transport Kharkiv Ukraine Department of Mathematics & Engineering Sciences Hellenic Military Academy Athens - Vari Greece

ISBN: (纸本)9781509009749

One of the key subsystems from point of view of security of the complex IoT system is the smart business center (SB?) system. Some problems the design and operation of the SBC system are analyzed. When analysis of safety of the IoT system must take into account the reliability and security of the system at several levels: the level of sensors, the level of communication (communication lines, router, switch), the server level as the control device of components of the network, the level of the entire SBC subsystem. General architecture of network of the SB? is described. Reliability and security of key SB? hardwareand software manufacturers are analysed. In particular, security issue for SB? routers is considered. Shown the Markov model, which takes into account the technical conditions of typical network components of the SBC with the presence of software vulnerabilities when exposed to hacker attacks. On this model's basis it is possible to conduct further researches directed for improving the reliability operation and safety of IoT.

关键词： reliability Internet of Things smart business center network security

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State estimation with quantized innovations in wireless sensor networks: Gaussian mixture estimator and posterior Cramér–Rao lower bound

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Chinese Journal of Aeronautics 2015年第6期28卷 1735-1746页

作者： Zhang Zhi Li Jianxun Liu Liu Liu Zhaolei Han Shan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Nanjing Research Institute of Electronics Technology Engineering Research Center of Wideband Wireless Communication Technology Ministry of EducationNanjing University of Posts and Telecommunications

Since the features of low energy consumption and limited power supply are very impor- tant for wireless sensor networks （WSNs）, the problems of distributed state estimation with quan- tized innovations are investigated in this paper. In the first place, the assumptions of prior and posterior probability density function （PDF） with quantized innovations in the previous papers are analyzed. After that, an innovative Gaussian mixture estimator is proposed. On this basis, this paper presents a Gaussian mixture state estimation algorithm based on quantized innovations for WSNs. In order to evaluate and compare the performance of this kind of state estimation algo- rithms for WSNs, the posterior Cram6r-Rao lower bound （CRLB） with quantized innovations is put forward. Performance analysis and simulations show that the proposed Gaussian mixture state estimation algorithm is efficient than the others under the same number of quantization levels and the performance of these algorithms can be benchmarked by the theoretical lower bound.

关键词： Posterior Cramer-Rao lower bounds Quantiation State estimation Target tracking Wireless sensor network

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Reconfigurable control of Input Affine Nonlinear systems under Actuator Fault

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IFAC-PapersOnLine 2015年第21期48卷 345-352页

作者： Tabatabaeipour, S. Mojtaba Galeazzi, Roberto System Operation Analysis Energinet.dk Tonne Kjærsvej 65 Fredericia Denmark Automation and Control Department of Electrical Engineering Technical University of Denmark Kgs. Lyngby Denmark

This paper proposes a fault tolerant control method for input-affine nonlinear systems using a nonlinear reconfiguration block (RB). The basic idea of the method is to insert the RB between the plant and the nominal controller such that fault tolerance is achieved without re-designing the nominal controller. The role of the RB is twofold: on one hand it transforms the output of the faulty system such that its behaviour is similar to that of the nominal one from the controller's viewpoint;on the other hand it modifies the control input to the faulty system such that the stability of the reconfigured loop is preserved. The RB is realized by a virtual actuator and a REFERENCE model. Using notions of incremental and input-to-state stability (ISS), it is shown that ISS of the closed-loop reconfigured system can be achieved by the separate design of the virtual actuator. The proposed method does not need any knowledge of the nominal controller and only assumes that the nominal closed-loop system is ISS. The method is demonstrated on a dynamic positioning system for an offshore supply vessel, where the virtual actuator is designed using backstepping. © 2015

关键词： Backstepping

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On the ellipsoidal invariant set of fractional order systems subject to actuator saturation 34

On the ellipsoidal invariant set of fractional order systems...

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第三十四届中国控制会议

作者： LI Chuang LU Junguo School of Mechanical and Electrical Engineering Hainan University Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781467374439

This paper investigates the method for estimating the domain of attraction of the origin for a class of fractional order system subject to actuator saturation with the fractional order 0 < α < 1. The sufficient condition on the asymptotic stability are obtained using Lyapunov direct approach and fractional order inequality. The method for the estimation on the contractively invariant ellipsoid is derived in terms of linear matrix inequalities(LMIs), and hence can be easily adopted for controller synthesis. Two numerical examples are provided to illustrate the effectiveness of the developed method.

关键词： Fractional order,Saturation,Domain of attraction,Invariant ellipsoid

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