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第25届中国控制与决策会议

作者： Yunpeng Wang Long Cheng Zeng-Guang Hou Min Tan Huiyang Liu Min Wang State Key Laboratory of Management and Control for Complex Systems (SKLMCCS) Institute of Automation Chinese Academy of Sciences School of Information and Electrical Engineering Shandong Jianzhu University

ISBN: (纸本)9781467355339

The leader-following problem of first-order integral multi-agent systems with communication noises is investigated in this paper. To attenuate the noise's effect, a positive time-varying gain a(t) is employed in the protocol. It is proved that the proposed protocol can solve the mean square leader-following problem if the following conditions hold: 1) the communication topology graph has a spanning tree;2) ∫∞0 a(t)dt = ∞;3) lim t→∞ a(t) = 0. The requirements on a(t) are different from most existing papers, where a(t) is required to satisfy that ∫∞0 a(t) = ∞ and ∫∞0 a2(t) < ∞. It turns out that ∫∞0 a2(t) < ∞ implies lim t→∞ a(t) = 0, if a(t) is uniformly continuous. Therefore this paper relaxes the requirements on a(t) to some extent. In addition, under the mild condition (a(t) is uniformly continuous) these three conditions are necessary as well. Furthermore, if ∫∞0 a2(t)<∞, the employed protocol is proved to be able to solve the almost sure leader-following problem of first-order integral multi-agent system. Finally, a simulation example is provided to verify the effectiveness of the employed protocols.

关键词： Leader-following, Consensus, Multi-agent system, Communication noise

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Active Fault Detection in MIMO systems

Active Fault Detection in MIMO Systems

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American control Conference

作者： Henrik Niemann Niels Kjolstad Poulsen Dept. of Electrical Engineering Automation and Control Tech. University of Denmark DK-2800 Kgs. Lyngby Denmark Dept. of Applied Math. and Comp. Science Section for Dynamical Systems Tech. University of Denmark DK-2800 Kgs. Lyngby Denmark

ISBN: (纸本)9781479932757

The focus in this paper is on active fault detection (AFD) for MIMO systems with parametric faults. The problem of design of auxiliary inputs with respect to detection of parametric faults is investigated. An analysis of the design of auxiliary inputs is given based on analytic transfer functions from auxiliary input to residual outputs. The analysis is based on a singular value decomposition of these transfer functions Based on this analysis, it is possible to design auxiliary input as well as design of the associated residual vector with respect to every single parametric fault in the system such that it is possible to detect these faults.

关键词： Fault detection active fault diagnosis feedback controllers parametric faults Defect detection feedback controller Parametric fault multiple input multiple output systems TRANSFER FUNCTIONS Fault diagnosis Parametric

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Improved stability and stabilization criteria of singular system with time-delay and parameter uncertainties

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Journal of Information and Computational Science 2013年第18期10卷 6067-6076页

作者： Ding, Yuanchun Weng, Falu Mao, Weijie School of Resources and Environmental Engineering Jiangxi University of Science and Technology Jiangxi 341000 China Faculty of Electrical Engineering and Automation Jiangxi University of Science and Technology Ganzhou Jiangxi 341000 China State Key Lab of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

The problems of delay-dependent robust stability and stabilization for continuously singular timedelay systems with norm-bounded uncertainties are investigated in this paper. Based on a Lyapunov functional, which includes some non-positive items, the modified delay-dependent LMIs-based conditions are established for the singular time-delay systems to be regular, impulse free, and stable. Then, by solving the obtained LMIs, the state-feedback control law can be obtained. These conditions are also extended to the uncertain case. Finally, numerical examples are given to illustrate that the proposed results are effective and less conservative than the existing ones. © 2013 Binary Information Press.

关键词： Time delay

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Model free adaptive iterative learning control for farm vehicle path tracking

Model free adaptive iterative learning control for farm vehi...

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3rd IFAC Conference on Intelligent control and automation Science, ICONS 2013

作者： Bu, Xuhui Hou, Zhongsheng Chi, Ronghu School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China Advanced Control Systems Lab. School of Electronics and Information Engineering Beijing Jiaotong University Beijing China School of Automation and Electrical Engineering Qingdao University of Science and Technology Qingdao 266042 China

ISBN: (纸本)9783902823458

Duo to the periodicity of farm cropping, harvesting, seeding and spraying, a discrete time model free adaptive iterative learning control (MFAILC) algorithm for path tracking of farm vehicle is proposed. Based on the dynamical form linearization model for farm vehicle kinematic model l, the MFAILC algorithm can be designed just depending on the I/O data of the farm vehicle. The proposed method also can compensate the effect of initial shifting to preserve a perfect tracking. Simulations results illustrate the validity of the proposed methods. Copyright © 2013 IFAC.

关键词： Iterative methods

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Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention

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International Journal of Computational Intelligence systems 2013年第6期6卷 1151-1162页

作者： Wang, Xiaohua Duan, Haibin State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China State Key Laboratory of Virtual Reality Technology and Systems School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laborator Beihang University Beijing 100191 China

Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing. Biogeography-Based Optimization (BBO) is a bioinspired algorithm for global optimization, searching for the global optimum mainly through two steps: migration and mutation. In this paper, a novel Predator-Prey Biogeography-Based Optimization (PPBBO) is utilized to solve the bio-inspired visual attention problem. In PPBBO method, BBO is combined with the mechanism of predatorprey, which can enhance the global convergence of the algorithm. The convergence property of the PPBBO is analyzed theoretically, and the detailed process is also given. Comparative experimental results with basic BBO, CBBO, CPPBBO, and Particle Swarm Optimization (PSO) demonstrate the feasibility and effectiveness of our presented PPBBO for adjusting combination of feature maps in visual attention. © 2013 Taylor & Francis Group, LLC.

关键词： Biogeography-Based Optimization (BBO) Feature combination Predator-prey Saliency Visual attention

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control Lyapunov function based feedback design for quasi-polynomial systems

Control Lyapunov function based feedback design for quasi-po...

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9th IFAC Symposium on Nonlinear control systems, NOLCOS 2013

作者： Magyar, Attila Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprem Hungary Process Control Research Group Computer and Automation Research Institute HAS Budapest Hungary

ISBN: (纸本)9783902823472

The aim of this work is to present an entropy-like Lyapunov function based dynamic feedback design technique for quasi-polynomial and Lotka-Volterra systems. It is shown, that the dynamic feedback design problem is equivalent to the feasibility of a bilinear matrix inequality. The problem is also formulated as a control Lyapunov function based feedback design when the Lyapunov function parameters are given, the solution of this problem can be obtained by solving a linear matrix inequality. The developed method is illustrated on a simple numerical example. © IFAC.

关键词： Design

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Consensus control of A Class of Nonlinear systems with Communication Time Delay

Consensus Control of A Class of Nonlinear Systems with Commu...

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American control Conference

作者： Jie Sheng Chenhui Shao Zhengtao Ding Haibo Ji Department of Automation University of Science and Technology of China Hefei 230027 P. R. China Department of Mechanical Engineering University of Michigan Ann Arbor 2350 Hayward St. Ann Arbor MI 48109 USA Control Systems Centre School of Electrical and Electronic Engineering The University of Manchester Sackville Street Building Manchester M13 9PL UK

ISBN: (纸本)9781479932757

This paper investigates the consensus control of a class of Lipchitz nonlinear multi-agent systems with communication time delay. Upon exploring certain features of Laplacian matrix, global consensus control conditions are identified using Lyapunov method in the time domain. The proposed control only uses relative state information of the system. Numerical simulations validate the effectiveness of the proposed controller design and show its performance with different nonlinearities and time delays.

关键词： Delay effects Eigenvalues and eigenfunctions Laplace equations Multi-agent systems Equations Delays control design

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Neuro-control to energy minimization for a class of chaotic systems based on ADP algorithm

Neuro-control to energy minimization for a class of chaotic ...

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4th International Conference on Intelligence Science and Big Data engineering, IScIDE 2013

作者： Song, Ruizhuo Xiao, Wendong Wei, Qinglai School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9783642420566

This paper discusses the energy minimization problem of a class of chaotic systems, and constructs an optimal neuro-controller based on adaptive dynamic programming (ADP) algorithm. To learn the optimal performance index and control policy, an iterative algorithm is established. To prove the convergence of the presented iterative algorithm, theorems with rigorous and detailed proofs are given. It is proven that the iterative performance index functions are monotone decreasing and converge to the minimum energy. A simulation example is used to indicate that the presented energy minimization control method is effective. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Chaotic systems

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Certification of a Class of Industrial Predictive controllers without Terminal Conditions

Certification of a Class of Industrial Predictive Controller...

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IEEE Annual Conference on Decision and control

作者： Abhishek Dutta Edward Hartley Jan Maciejowski Robin De Keyser Wolfson College Cambridge Barton Road Cambridge CB3 9BB UK Control Group Cambridge University Engineering Department Trumpington Street Cambridge CB2 1PZ UK Electrical Energy Systems and Automation Ghent University Sint-Pietersnieuwstraat 41 Block B2 9000 Gent Belgium

ISBN: (纸本)9781467360890

Three decades have passed encompassing a flurry of research and commercial activities in model predictive control (MPC). However, the massive strides made by the academic community in guaranteeing stability through a state-space framework have not always been directly applicable in an industrial setting. This paper is concerned with a priori and/or a posteriori certification of persistent feasibility, boundedness of industrial MPC controllers (i) based on input-output formulation (ii) using shorter control than prediction horizon (iii) and without terminal conditions.

关键词： certification Predictive controllers Industrial Terminal condition COMMERCIAL ACTIVITIES

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A Data-driven Optimal Design of Point-to-Point ILC

A Data-driven Optimal Design of Point-to-Point ILC

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第三十二届中国控制会议

作者： CHI Ronghu HOU Zhongsheng JIN Shangtai WANG Danwei School of Automation & Electronic Engineering Qingdao University of Science & Technology Advanced Control Systems Lab School of Electronic ＆ Information EngineeringBeijing Jiaotong University EXQUISITUS Centre for E-CitySchool of Electrical & Electronic EngineeringNanyang Technological University

ISBN: (纸本)9781479900305

This paper presents a new data-driven optimal design framework of point-to-point iterative learning control (PTP-ILC),where the control signal is directly updated from the errors of given multiple intermediate pass points.A major contribution is that the presented optimal PTP-ILC mechanism only uses the real-time measured I/O data without any model information of the plant for the controller design,convergence analysis,and conduction,from which the distinctive 'data-driven' feature of the presented approaches is obvious and *** mathematical analysis is developed to illustrate the effecience of the proposed approach.

关键词： Data-driven control optimal ILC Point-to-point tracking tasks Nonlinear discrete-time systems

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