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fuzzy PID control synthesis for Takagi–Sugeno fuzzy systems

IET Control Theory & Applications 2016年第6期10卷 607-616页

作者： Kairui Cao Xiaozhi Gao Hak-Keung Lam Athanasios Vasilakos National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin People's Republic of China Department of Electrical Engineering and Automation Aalto University School of Electrical Engineering Aalto Finland Department of Informatics King's College London London UK Computer Science Department Kuwait University Kuwait City Kuwait

This study proposes a kind of H ∞ fuzzy proportional–integral–derivative (PID) control synthesis method for Takagi–Sugeno (T–S) fuzzy systems. The basic idea of the presented method is to transform the fuzzy PID controller design problem into that of the fuzzy static output feedback (SOF) controller design. On the basis of an iterative linear matrix inequality algorithm, the fuzzy SOF control laws can be obtained. After that, the fuzzy PID controller is recovered from the fuzzy SOF controller. Simulation examples are given to show the effectiveness of the proposed method.

关键词： H∞ control three-term control control system synthesis fuzzy systems feedback linear matrix inequalities iterative methods fuzzy control fuzzy SOF control laws iterative linear matrix inequality algorithm static output feedback fuzzy SOF controller design T-S fuzzy systems proportional-integral-derivative control Takagi-Sugeno fuzzy systems H∞ fuzzy PID control synthesis

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Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

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International Journal of automation and computing 2015年第1期12卷 77-82页

作者： Kai Ma Liang Li Jie Yang Zhi-Xin Liu Xin-Bin Li Xin-Ping Guan School of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.

关键词： Femtocell cluster inter-femtocell interference bandwidth allocation Nash bargaining solution(NBS)

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Delay-based numerical stability of the partitioned-solution approach

Delay-based numerical stability of the partitioned-solution ...

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IEEE General Meeting Power& Energy Society

作者： Federico Milano Dept. of EE-Systems TAU Tel Aviv Israel Laboratory of Robotics and Systems in Engineering and Science (LARSyS) University of Lisbon Lisbon Portugal Department of Electrical and Computer Engineering University of Macau Macao China

This paper proposes a technique to evaluate the numerical stability and accuracy of the Partitioned-Solution Method (PSA) for the time domain integration of the Differential Algebraic Equations (DAEs) that are used for power system angle and voltage stability analyses. The partitioned approach consists in solving differential equations and algebraic constraints separately. While efficient, this technique introduces a “mismatch” between state and algebraic variables. The paper states the formal analogy of such a mismatch with a time delay of algebraic variables. Then a Small-signal Stability Analysis (SSSA) for Delay Differential Algebraic Equation (DDAE) is applied to define the numerical stability of the PSA as a function of the integration time step. Results are tested using the IEEE 14-bus system as well as a 1,479-bus model of the all-island Irish system.

关键词： Power system stability Numerical stability Stability analysis Mathematical model Numerical models Delay effects Delays

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Global Optimal Consensus of Multi-agent Systems with Bounded Controls

Global Optimal Consensus of Multi-agent Systems with Bounded...

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第35届中国控制会议

作者： Yijing Xie Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the global optimal consensus problem for a multi-agent system with bounded *** agent is described by a single-integrator dynamics and has its own objective function which is known to itself *** each agent,we construct a bounded local control law that uses the information accessible to it through the communication topology underlying the multi-agent *** is shown that these control laws together achieve global optimal consensus for the multi-agent system,that is,all agents reach consensus at a state that minimizes the sum of the objective functions of all agents as long as the communication topology is strongly connected and *** results are given to illustrate the theoretical results.

关键词： Multi-agent systems bounded control distributed optimization consensus optimal consensus

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Robust Semi-global Leader-following Consensus of Linear Multi-agent Systems with Imperfect Actuators

Robust Semi-global Leader-following Consensus of Linear Mult...

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第35届中国控制会议

作者： Liangren Shi Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper deals with the robust semi-global leader-following consensus problem for a linear multi-agent system with imperfect *** actuators of the follower agents have imperfect input output characteristics,such as those of saturation and dead-zone,and those characteristics are not precisely *** agents are also subject to input additive disturbances.A low-and-high gain based linear state feedback control law is constructed for each follower *** is shown that these control laws achieve robust semi-global leader-following consensus when the graph representing the communication topology among the followers is undirected and connected and the leader is a neighbor of at least one *** simulation illustrates the theoretical results.

关键词： Consensus leader-following actuator saturation dead-zone low-and-high gain feedback

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Discrete-time Global Leader-Following Consensus of a Group of General Linear Systems Using Bounded Controls:the State Feedback Case

Discrete-time Global Leader-Following Consensus of a Group o...

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第35届中国控制会议

作者： Zhiyun Zhao Zongli Lin Department of Automation and Key Laboratory of System Control and Information Processing of the Ministry of EducationShanghai Jiao Tong University Charles L.Brown Department of Electrical and Computer Engineering University of Virginia

ISBN: (纸本)9781509009107

This paper studies the problem of global leader-following consensus of a group of discrete-time general linear systems with bounded *** construct a bounded state feedback control law for each follower agent in the group by using a multihop relay protocol,in which the agent obtains the information of other agents through multi-hop paths in the communication *** number of hops each agent uses to obtain its information about other agents for an input is less than or equal to the sum of the number of real eigenvalues on the unit circle and the number of pairs of complex eigenvalues on the unit circle of the sub-system corresponding to the input,and the feedback gains are constructed from the adjacency matrix associated with the communication *** show that these control laws achieve global leader-following consensus when the communication topology is a strongly connected and detailed balanced directed graph and the leader is a neighbor of at least one follower agent.

关键词： Cooperative control consensus multi-agent systems discrete-time bounded controls

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A New Mathematical Modelling Approach for Viticulture and Winemaking Using Fuzzy Cognitive Maps

A New Mathematical Modelling Approach for Viticulture and Wi...

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作者： Peter, Groumpos P. Antigoni, Anninou P. Vasileios, Groumpos P. Laboratory of Automation and Robotics Department of Electrical and Computer Engineering University of Patras Rio26500 Greece Master Stud. Agricultural University of Athens Athens Greece

The aim of this paper is to present a new approach in modelling wine quality and quantity using Fuzzy Cognitive Maps trained by non linear Hebbian learning algorithm. The methodology described extracts the knowledge from the experts and exploits their experience on wine production. Two case studies with data from real vineyards were examined. The results of this study show that software tools using Fuzzy Cognitive Maps could be explored further and problems that arise during the wine production could be prevented by an efficient decision support system. © 2015, IFFCA (Internaitional Fedreation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Wine

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Policy iteration for optimal control of weakly coupled nonlinear systems with completely unknown dynamics

Policy iteration for optimal control of weakly coupled nonli...

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American Control Conference

作者： Chao Li Ding Wang Derong Liu Haibo He The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing 100083 China Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston 02881 USA

ISBN: (纸本)9781467386838

In this paper, an online learning algorithm based on policy iteration is established to solve the optimal control problem for weakly coupled nonlinear continuous-time systems. Using the weak coupling theory, the original problem is transformed into three reduced-order optimal control problems. To obtain the optimal control laws without system dynamics, we construct an online data-based integral policy iteration algorithm which is used to solve the decoupled optimal control problems. The actor-critic technique based on neural networks and the least squares method are used to implement the model-free learning algorithm. A simulation example is given to verify the applicability of the developed algorithm.

关键词： Optimal control Heuristic algorithms Mathematical model System dynamics Nonlinear systems Partitioning algorithms Computational modeling

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Nonlinear Model Predictive Formation Control for Quadcopters

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IFAC-PapersOnLine 2015年第19期48卷 39-44页

作者： Ribeiro, Tiago T. Conceição, André G.S. Sa, Inkyu Corke, Peter LaR - Robotics Laboratory Department of Electrical Engineering Federal University of Bahia Salvador Brazil Australian Centre for Robotic Vision School of Electrical Engineering and Computer Science Queensland University of Technology Australia

This paper presents a Nonlinear Model Predictive Formation Control for a group of Quadcopters. In this approach the controllers are distributed to the quadcopters and the coupling is done through its objective function. The path following problem is expressed through a dynamic model of the quadcopter's state errors relative to a Serret-Frenet frame, and the coordination problem is solved through adjustments in the robots' speeds combined with the path update rate for each robot. A strategy based on constraints relaxing is proposed to solve the problem of high state and formation errors, factors that directly affect feasibility and stability. Simulation results considering a realistic scenario are provided to demonstrate the performance of the proposed control strategy. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Problem solving Model predictive control Nonlinear systems Predictive control systems Unmanned aerial vehicles (UAV) Control strategies Coordination problems Formation control Nonlinear model predictive control Objective functions Path following problems Realistic scenario Serret Frenet frame

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Multiple Adaptive Kernel Size KLMS for Beijing PM2.5 Prediction

Multiple Adaptive Kernel Size KLMS for Beijing PM2.5 Predict...

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International Joint Conference on Neural Networks

作者： Zheng Cao Shujian Yu Guibiao Xu Badong Chen Jose C. Principe CNEL Department of Electrical & Computer Engineering University of Florida Gainesville 32611 USA NLPR Institute of Automation Chinese Academy of Sciences Beijing 100190 China Institute of Artificial Intelligence & Robotics Xi'an Jiaotong University 710049 China

ISBN: (纸本)9781509006212

The kernel least mean square (KLMS) algorithm is an efficient non-linear adaptive filter that operates in the reproducing kernel Hilbert space (RKHS). In realistic applications of system identification or time series prediction, there are usually multiple inputs that demand multiple kernels or kernel parameters. This paper proposes to use a tensor product kernel for KLMS that accommodates multiple inputs. Furthermore, instead of arbitrarily setting kernel parameters, appropriate kernel sizes can be chosen by a gradient descent based adaptive algorithm that minimizes the square of instant error, which helps KLMS to better capture the underlying system mechanism. Effectiveness of the proposed algorithm is shown by experiments conducted for both simulated dataset and an important real-world problem - Beijing PM2.5 prediction.

关键词： Kernel Prediction algorithms Tensile stress Air pollution Time series analysis Approximation algorithms Atmospheric modeling

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